Agile Machine Learning With Datarobot

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Agile Machine Learning with DataRobot

Author : Bipin Chadha
Publisher : Packt Publishing Ltd
ISBN 13 : 1801078645
Total Pages : 345 pages
Book Rating : 4.8/5 (1 download)

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Book Synopsis Agile Machine Learning with DataRobot by : Bipin Chadha

Download or read book Agile Machine Learning with DataRobot written by Bipin Chadha and published by Packt Publishing Ltd. This book was released on 2021-12-24 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage DataRobot's enterprise AI platform and automated decision intelligence to extract business value from data Key FeaturesGet well-versed with DataRobot features using real-world examplesUse this all-in-one platform to build, monitor, and deploy ML models for handling the entire production life cycleMake use of advanced DataRobot capabilities to programmatically build and deploy a large number of ML modelsBook Description DataRobot enables data science teams to become more efficient and productive. This book helps you to address machine learning (ML) challenges with DataRobot's enterprise platform, enabling you to extract business value from data and rapidly create commercial impact for your organization. You'll begin by learning how to use DataRobot's features to perform data prep and cleansing tasks automatically. The book then covers best practices for building and deploying ML models, along with challenges faced while scaling them to handle complex business problems. Moving on, you'll perform exploratory data analysis (EDA) tasks to prepare your data to build ML models and ways to interpret results. You'll also discover how to analyze the model's predictions and turn them into actionable insights for business users. Next, you'll create model documentation for internal as well as compliance purposes and learn how the model gets deployed as an API. In addition, you'll find out how to operationalize and monitor the model's performance. Finally, you'll work with examples on time series forecasting, NLP, image processing, MLOps, and more using advanced DataRobot capabilities. By the end of this book, you'll have learned to use DataRobot's AutoML and MLOps features to scale ML model building by avoiding repetitive tasks and common errors. What you will learnUnderstand and solve business problems using DataRobotUse DataRobot to prepare your data and perform various data analysis tasks to start building modelsDevelop robust ML models and assess their results correctly before deploymentExplore various DataRobot functions and outputs to help you understand the models and select the one that best solves the business problemAnalyze a model's predictions and turn them into actionable insights for business usersUnderstand how DataRobot helps in governing, deploying, and maintaining ML modelsWho this book is for This book is for data scientists, data analysts, and data enthusiasts looking for a practical guide to building and deploying robust machine learning models using DataRobot. Experienced data scientists will also find this book helpful for rapidly exploring, building, and deploying a broader range of models. The book assumes a basic understanding of machine learning.

Agile Machine Learning

Author : Eric Carter
Publisher : Apress
ISBN 13 : 1484251075
Total Pages : 257 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Agile Machine Learning by : Eric Carter

Download or read book Agile Machine Learning written by Eric Carter and published by Apress. This book was released on 2019-08-21 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build resilient applied machine learning teams that deliver better data products through adapting the guiding principles of the Agile Manifesto. Bringing together talented people to create a great applied machine learning team is no small feat. With developers and data scientists both contributing expertise in their respective fields, communication alone can be a challenge. Agile Machine Learning teaches you how to deliver superior data products through agile processes and to learn, by example, how to organize and manage a fast-paced team challenged with solving novel data problems at scale, in a production environment. The authors’ approach models the ground-breaking engineering principles described in the Agile Manifesto. The book provides further context, and contrasts the original principles with the requirements of systems that deliver a data product. What You'll Learn Effectively run a data engineering team that is metrics-focused, experiment-focused, and data-focused Make sound implementation and model exploration decisions based on the data and the metrics Know the importance of data wallowing: analyzing data in real time in a group setting Recognize the value of always being able to measure your current state objectively Understand data literacy, a key attribute of a reliable data engineer, from definitions to expectations Who This Book Is For Anyone who manages a machine learning team, or is responsible for creating production-ready inference components. Anyone responsible for data project workflow of sampling data; labeling, training, testing, improving, and maintaining models; and system and data metrics will also find this book useful. Readers should be familiar with software engineering and understand the basics of machine learning and working with data.

Machine Learning

Author : Robert Keane
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781981638666
Total Pages : 170 pages
Book Rating : 4.6/5 (386 download)

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Book Synopsis Machine Learning by : Robert Keane

Download or read book Machine Learning written by Robert Keane and published by Createspace Independent Publishing Platform. This book was released on 2017-12-12 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Book Includes 2 Manuscripts Machine Learning Master The Three Types Of Machine Learning Machine learning is vital to the world of information technology. While many people may have no idea what machine learning is, they have probably used it sometime in their daily lives. For example, if you have ever done a search query on a search engine, you have worked with one form of machine learning. The program to do your search query has been trained to find the best results based on what you are looking for and it will also learn from the choices that you make. In this book you will find: Understanding the Basics of Machine Learning Why should I Use Machine Learning? Machine Learning Applications How Artificial Intelligence and Machine Learning are Different Statistics and Probability Theory The Building Blocks of Machine Learning Formal Statistical Learning Framework PAC Learning Strategies Generalization Models in Machine Learning Supervised Machine Learning Unsupervised Machine Learning Support Vector Machines Issues That Can Come Up In Machine Learning Agile Project Management Focus On Continuous Improvement, Scope Flexibility, Team Input, And Delivering Essential Quality Products Agile Project Management has grown in popularity over the past several years. Change is occurring so fast that many organizations are unable to keep up with the demands of a changing global world. Your ability to quickly change and adapt to your environment will make or break, not only your career but could be the deciding factor as to whether your company survives in the coming years. Those that have implemented the Agile strategies you will learn in this book are the ones that are succeeding and will be around for years to come. Look around at your peers. How many of them are looking to take that next step? The answer is probably very few but not you. You are an action taker. The fact that you are looking for a book like this says so. Here is some of what you will learn: The Benefits of Agile for you and your organization Agile strategy and making Agile work within an organization What is Scrum and how to implement it Explanation of ITIL and how it relates to Agile Tools of the trade Case Studies to show you Agile in action And an added BONUS - THE SECRET WEAPON Become An Expert TODAY! Everything You Need To Know About Machine Learning AND Agile Project Management Inside This Amazing TWO Book Bundle! Scroll Up And Click The "BUY" Button!

Data Analytics

Author : Robert Keane
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781981625390
Total Pages : 324 pages
Book Rating : 4.6/5 (253 download)

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Book Synopsis Data Analytics by : Robert Keane

Download or read book Data Analytics written by Robert Keane and published by Createspace Independent Publishing Platform. This book was released on 2017-12-11 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Book Includes 4 Manuscripts Data Analytics Master The Techniques For Data Science, Big Data And Data Analytics If your business is like most, it is already generating a staggering amount of data on a regular basis. Understanding what this data truly means is key to succeeding in the marketplace these days and if you are looking for a way to give yourself an edge then Data Analytics is the book you have been waiting for. Inside this book you will find: Everything you need to know to get started completing the right kind of data analysis to benefit your business regardless of what that business is The best ways to utilize predictive analysis effectively Easy to use machine learning and regression techniques The reasons why you need discrete choice models in your life Agile Project Management Focus On Continuous Improvement, Scope Flexibility, Team Input, And Delivering Essential Quality Products Agile Project Management has grown in popularity over the past several years. Change is occurring so fast that many organizations are unable to keep up with the demands of a changing global world. Your ability to quickly change and adapt to your environment will make or break, not only your career but could be the deciding factor as to whether your company survives in the coming years. Those that have implemented the Agile strategies you will learn in this book are the ones that are succeeding and will be around for years to come. Look around at your peers. How many of them are looking to take that next step? The answer is probably very few but not you. You are an action taker. The fact that you are looking for a book like this says so. Here is some of what you will learn: The Benefits of Agile for you and your organization Agile strategy and making Agile work within an organization What is Scrum and how to implement it Explanation of ITIL and how it relates to Agile Case Studies to show you Agile in action And an added BONUS - THE SECRET WEAPON Machine Learning Master The Three Types Of Machine Learning Machine learning is vital to the world of information technology. While many people may have no idea what machine learning is, they have probably used it sometime in their daily lives. For example, if you have ever done a search query on a search engine, you have worked with one form of machine learning. The program to do your search query has been trained to find the best results based on what you are looking for and it will also learn from the choices that you make. In this book you will find: Understanding the Basics of Machine Learning Why should I Use Machine Learning? Machine Learning Applications Generalization Models in Machine Learning Supervised Machine Learning Unsupervised Machine Learning Support Vector Machines Issues That Can Come Up In Machine Learning Hacking Computer Hacking Mastery The world of hacking has changed so much in recent years. New attacks are being made and learning how to protect your system can be difficult than ever before. This guidebook has all the information that you need to learn about some of the most common attacks that are going on in the world today as well as some of the things that you can do to protect yourself. Now is the time! Get started on your Project Management journey today. Scroll Up And Click The "BUY" Button!

Automated Machine Learning for Business

Author : Kai R. Larsen
Publisher : Oxford University Press
ISBN 13 : 0190941685
Total Pages : 400 pages
Book Rating : 4.1/5 (99 download)

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Book Synopsis Automated Machine Learning for Business by : Kai R. Larsen

Download or read book Automated Machine Learning for Business written by Kai R. Larsen and published by Oxford University Press. This book was released on 2021-05-27 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teaches the machine learning process for business students and professionals using automated machine learning, a new development in data science that requires only a few weeks to learn instead of years of training Though the concept of computers learning to solve a problem may still conjure thoughts of futuristic artificial intelligence, the reality is that machine learning algorithms now exist within most major software, including Websites and even word processors. These algorithms are transforming society in the most radical way since the Industrial Revolution, primarily through automating tasks such as deciding which users to advertise to, which machines are likely to break down, and which stock to buy and sell. While this work no longer always requires advanced technical expertise, it is crucial that practitioners and students alike understand the world of machine learning. In this book, Kai R. Larsen and Daniel S. Becker teach the machine learning process using a new development in data science: automated machine learning (AutoML). AutoML, when implemented properly, makes machine learning accessible by removing the need for years of experience in the most arcane aspects of data science, such as math, statistics, and computer science. Larsen and Becker demonstrate how anyone trained in the use of AutoML can use it to test their ideas and support the quality of those ideas during presentations to management and stakeholder groups. Because the requisite investment is a few weeks rather than a few years of training, these tools will likely become a core component of undergraduate and graduate programs alike. With first-hand examples from the industry-leading DataRobot platform, Automated Machine Learning for Business provides a clear overview of the process and engages with essential tools for the future of data science.

Artificial Intelligence for Business

Author : Doug Rose
Publisher : FT Press
ISBN 13 : 0136556663
Total Pages : 292 pages
Book Rating : 4.1/5 (365 download)

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Book Synopsis Artificial Intelligence for Business by : Doug Rose

Download or read book Artificial Intelligence for Business written by Doug Rose and published by FT Press. This book was released on 2020-12-09 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Easy Introduction to Machine Learning (Ml) for Nontechnical People--In Business and Beyond Artificial Intelligence for Business is your plain-English guide to Artificial Intelligence (AI) and Machine Learning (ML): how they work, what they can and cannot do, and how to start profiting from them. Writing for nontechnical executives and professionals, Doug Rose demystifies AI/ML technology with intuitive analogies and explanations honed through years of teaching and consulting. Rose explains everything from early “expert systems” to advanced deep learning networks. First, Rose explains how AI and ML emerged, exploring pivotal early ideas that continue to influence the field. Next, he deepens your understanding of key ML concepts, showing how machines can create strategies and learn from mistakes. Then, Rose introduces current powerful neural networks: systems inspired by the structure and function of the human brain. He concludes by introducing leading AI applications, from automated customer interactions to event prediction. Throughout, Rose stays focused on business: applying these technologies to leverage new opportunities and solve real problems. Compare the ways a machine can learn, and explore current leading ML algorithms Start with the right problems, and avoid common AI/ML project mistakes Use neural networks to automate decision-making and identify unexpected patterns Help neural networks learn more quickly and effectively Harness AI chatbots, virtual assistants, virtual agents, and conversational AI applications

Enhancing Business Communications and Collaboration Through Data Science Applications

Author : Geada, Nuno
Publisher : IGI Global
ISBN 13 : 1668467887
Total Pages : 280 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Enhancing Business Communications and Collaboration Through Data Science Applications by : Geada, Nuno

Download or read book Enhancing Business Communications and Collaboration Through Data Science Applications written by Geada, Nuno and published by IGI Global. This book was released on 2023-03-21 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital evolution has become increasingly present in our lives, whether on cellphones, computers, watches, or other appliances. As a result of the wide access we have to the digital world, the amount of data generated daily is vast. This density of information generated at every moment can be the insight needed for the success of an organization. Much is said about data-based decision-making to generate the best results. The new capabilities of data intelligence unleashed by the emergence of cloud computing and artificial intelligence make it one of the most promising areas of digital transformation change management. Enhancing Business Communications and Collaboration Through Data Science Applications provides relevant theoretical frameworks and the latest empirical research findings in the area. It is written for professionals who wish to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. Covering topics such as data science, online business communication, and user-centered design, this premier reference source is an ideal resource for business managers and leaders, entrepreneurs, data scientists, data analysts, sociologists, students and educators of higher education, librarians, researchers, and academicians.

Automated Machine Learning with AutoKeras

Author : Luis Sobrecueva
Publisher : Packt Publishing Ltd
ISBN 13 : 1800561814
Total Pages : 194 pages
Book Rating : 4.8/5 (5 download)

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Book Synopsis Automated Machine Learning with AutoKeras by : Luis Sobrecueva

Download or read book Automated Machine Learning with AutoKeras written by Luis Sobrecueva and published by Packt Publishing Ltd. This book was released on 2021-05-21 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create better and easy-to-use deep learning models with AutoKeras Key FeaturesDesign and implement your own custom machine learning models using the features of AutoKerasLearn how to use AutoKeras for techniques such as classification, regression, and sentiment analysisGet familiar with advanced concepts as multi-modal, multi-task, and search space customizationBook Description AutoKeras is an AutoML open-source software library that provides easy access to deep learning models. If you are looking to build deep learning model architectures and perform parameter tuning automatically using AutoKeras, then this book is for you. This book teaches you how to develop and use state-of-the-art AI algorithms in your projects. It begins with a high-level introduction to automated machine learning, explaining all the concepts required to get started with this machine learning approach. You will then learn how to use AutoKeras for image and text classification and regression. As you make progress, you'll discover how to use AutoKeras to perform sentiment analysis on documents. This book will also show you how to implement a custom model for topic classification with AutoKeras. Toward the end, you will explore advanced concepts of AutoKeras such as working with multi-modal data and multi-task, customizing the model with AutoModel, and visualizing experiment results using AutoKeras Extensions. By the end of this machine learning book, you will be able to confidently use AutoKeras to design your own custom machine learning models in your company. What you will learnSet up a deep learning workstation with TensorFlow and AutoKerasAutomate a machine learning pipeline with AutoKerasCreate and implement image and text classifiers and regressors using AutoKerasUse AutoKeras to perform sentiment analysis of a text, classifying it as negative or positiveLeverage AutoKeras to classify documents by topicsMake the most of AutoKeras by using its most powerful extensionsWho this book is for This book is for machine learning and deep learning enthusiasts who want to apply automated ML techniques to their projects. Prior basic knowledge of Python programming and machine learning is expected to get the most out of this book.

Accelerated DevOps with AI, ML & RPA

Author : Stephen Fleming
Publisher : Stephen Fleming
ISBN 13 :
Total Pages : 100 pages
Book Rating : 4./5 ( download)

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Book Synopsis Accelerated DevOps with AI, ML & RPA by : Stephen Fleming

Download or read book Accelerated DevOps with AI, ML & RPA written by Stephen Fleming and published by Stephen Fleming. This book was released on 2020-07-14 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: What comes to your mind after reading the below statements from a renowned industry research firm? It is predicted that a large enterprise exclusive use of AIOps and digital experience monitoring tools to monitor applications and infrastructure will rise from 5% in 2018 to 30% in 2023. Also, Only 47% of machine learning models are making it into production (Comes MLOPS!) Do you have similar thoughts? Is it just a new Buzzword or repackaging of the existing system? If it’s for real, how is it going to impact the Business/Industry? How my business or job would get impacted? If it has just started, how can I leverage from wherever I am? Which are the major players/startups in this area? Depending on your role, it may be useful for you to know about AIOPS & MLOPS: If you are a Business Consultant trying to make the system more efficient and profitable, reaping the benefits of Automation in your application development process If you are a Technology Consultant and want to make your operation more Agile, Automated and easily deployable If you are a Technology Professional looking for a role in these upcoming areas to be an early adopter in your organization or just starting your career and want to understand the ecosystem If you are from HR or Training field and want to understand the job/Training requirements for these upcoming roles Beyond the apparent hustle and bustle of buzzwords and nomenclature every year, I genuinely believe that AI would drastically change the software development and deployment model in the next two years, and all these new startups would drive this change. It’s astonishing how fast this cycle is moving. Especially for us who had seen the world before the internet came into our daily lives!!This book is my attempt to update you on the unfolding story of AIOPS and MLOPS as “story till now. “ So here is to our Continuous Learning and Progress! Cheers.

Introducing MLOps

Author : Mark Treveil
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098116429
Total Pages : 171 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Introducing MLOps by : Mark Treveil

Download or read book Introducing MLOps written by Mark Treveil and published by "O'Reilly Media, Inc.". This book was released on 2020-11-30 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Some of the challenges and barriers to operationalization are technical, but others are organizational. Either way, the bottom line is that models not in production can't provide business impact. This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout. This book helps you: Fulfill data science value by reducing friction throughout ML pipelines and workflows Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized

Agile AI

Author : Carlo Appugliese
Publisher :
ISBN 13 :
Total Pages : 51 pages
Book Rating : 4.:/5 (115 download)

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Book Synopsis Agile AI by : Carlo Appugliese

Download or read book Agile AI written by Carlo Appugliese and published by . This book was released on 2020 with total page 51 pages. Available in PDF, EPUB and Kindle. Book excerpt: As more companies work to adopt AI for business processes, project costs and failure rates are on the rise. Why? No standard practice exists for implementing AI in business applications, and many organizations don't have the skills, processes, and tools to mitigate risk. With this practical report, industry experts Carlo Appugliese, Paco Nathan, and William S. Roberts teach you Agile AI to help you innovate, reduce required investments, and decrease failure risk. Written for technical leaders as well as tech-savvy business cohorts with an understanding of analytics, software engineering, and data science, this report from IBM is useful for anyone interested in an Agile approach to AI and machine learning at the enterprise level. You'll quickly learn how to choose the approach that works best for your company. Fundamentals: Explore data science and AI tools, including the trends in and risks of machine learning AI skills: Examine core skills in data science, as well as effective practices for building a data science team and nurturing a supportive culture Agile approach: Focus on the right team mind-set of flexibility, the right set of tools, and the right set of team skills.

Practical DataOps

Author : Harvinder Atwal
Publisher : Apress
ISBN 13 : 1484251040
Total Pages : 289 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Practical DataOps by : Harvinder Atwal

Download or read book Practical DataOps written by Harvinder Atwal and published by Apress. This book was released on 2019-12-09 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain a practical introduction to DataOps, a new discipline for delivering data science at scale inspired by practices at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action and useful analytical data products. Processes and thinking employed to manage and use data in the 20th century are a bottleneck for working effectively with the variety of data and advanced analytical use cases that organizations have today. This book provides the approach and methods to ensure continuous rapid use of data to create analytical data products and steer decision making. Practical DataOps shows you how to optimize the data supply chain from diverse raw data sources to the final data product, whether the goal is a machine learning model or other data-orientated output. The book provides an approach to eliminate wasted effort and improve collaboration between data producers, data consumers, and the rest of the organization through the adoption of lean thinking and agile software development principles. This book helps you to improve the speed and accuracy of analytical application development through data management and DevOps practices that securely expand data access, and rapidly increase the number of reproducible data products through automation, testing, and integration. The book also shows how to collect feedback and monitor performance to manage and continuously improve your processes and output. What You Will LearnDevelop a data strategy for your organization to help it reach its long-term goals Recognize and eliminate barriers to delivering data to users at scale Work on the right things for the right stakeholders through agile collaboration Create trust in data via rigorous testing and effective data management Build a culture of learning and continuous improvement through monitoring deployments and measuring outcomes Create cross-functional self-organizing teams focused on goals not reporting lines Build robust, trustworthy, data pipelines in support of AI, machine learning, and other analytical data products Who This Book Is For Data science and advanced analytics experts, CIOs, CDOs (chief data officers), chief analytics officers, business analysts, business team leaders, and IT professionals (data engineers, developers, architects, and DBAs) supporting data teams who want to dramatically increase the value their organization derives from data. The book is ideal for data professionals who want to overcome challenges of long delivery time, poor data quality, high maintenance costs, and scaling difficulties in getting data science output and machine learning into customer-facing production.

The Robotic Process Automation Handbook

Author : Tom Taulli
Publisher : Apress
ISBN 13 : 1484257294
Total Pages : 359 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis The Robotic Process Automation Handbook by : Tom Taulli

Download or read book The Robotic Process Automation Handbook written by Tom Taulli and published by Apress. This book was released on 2020-02-28 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: While Robotic Process Automation (RPA) has been around for about 20 years, it has hit an inflection point because of the convergence of cloud computing, big data and AI. This book shows you how to leverage RPA effectively in your company to automate repetitive and rules-based processes, such as scheduling, inputting/transferring data, cut and paste, filling out forms, and search. Using practical aspects of implementing the technology (based on case studies and industry best practices), you’ll see how companies have been able to realize substantial ROI (Return On Investment) with their implementations, such as by lessening the need for hiring or outsourcing. By understanding the core concepts of RPA, you’ll also see that the technology significantly increases compliance – leading to fewer issues with regulations – and minimizes costly errors. RPA software revenues have recently soared by over 60 percent, which is the fastest ramp in the tech industry, and they are expected to exceed $1 billion by the end of 2019. It is generally seamless with legacy IT environments, making it easier for companies to pursue a strategy of digital transformation and can even be a gateway to AI. The Robotic Process Automation Handbook puts everything you need to know into one place to be a part of this wave. What You'll Learn Develop the right strategy and planDeal with resistance and fears from employeesTake an in-depth look at the leading RPA systems, including where they are most effective, the risks and the costsEvaluate an RPA system Who This Book Is For IT specialists and managers at mid-to-large companies

Business Analytics

Author : Richard Vidgen
Publisher : Bloomsbury Publishing
ISBN 13 : 1352007266
Total Pages : 430 pages
Book Rating : 4.3/5 (52 download)

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Book Synopsis Business Analytics by : Richard Vidgen

Download or read book Business Analytics written by Richard Vidgen and published by Bloomsbury Publishing. This book was released on 2019-09-28 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: This exciting new textbook offers an accessible, business-focused overview of the key theoretical concepts underpinning modern data analytics. It provides engaging and practical advice on using the key software tools, including SAS Visual Analytics, R and DataRobot, that are used in organisations to help make effective data-driven decisions. Combining theory with hands-on practical examples, this essential text includes cutting edge coverage of new areas of interest including social media analytics, design thinking and the ethical implications of using big data. A wealth of learning features including exercises, cases, online resources and data sets help students to develop analytic problem-solving skills. With its management perspective on analytics and its coverage of a range of popular software tools, this is an ideal essential text for upper-level undergraduate, postgraduate and MBA students. It is also ideal for practitioners wanting to understand the broader organisational context of big data analysis and to engage critically with the tools and techniques of business analytics. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/business-analytics. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.

Machine Learning in Production

Author : Andrew Kelleher
Publisher :
ISBN 13 : 9780134116556
Total Pages : pages
Book Rating : 4.1/5 (165 download)

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Book Synopsis Machine Learning in Production by : Andrew Kelleher

Download or read book Machine Learning in Production written by Andrew Kelleher and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence Basics

Author : Tom Taulli
Publisher : Apress
ISBN 13 : 1484250281
Total Pages : 195 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Artificial Intelligence Basics by : Tom Taulli

Download or read book Artificial Intelligence Basics written by Tom Taulli and published by Apress. This book was released on 2019-08-01 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. In addition to guiding you through real-world case studies and practical implementation steps, Taulli uses his expertise to expand on the bigger questions that surround AI. These include societal trends, ethics, and future impact AI will have on world governments, company structures, and daily life. Google, Amazon, Facebook, and similar tech giants are far from the only organizations on which artificial intelligence has had—and will continue to have—an incredibly significant result. AI is the present and the future of your business as well as your home life. Strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and Artificial Intelligence Basics is the indispensable guide that you’ve been seeking. What You Will Learn Study the core principles for AI approaches such as machine learning, deep learning, and NLP (Natural Language Processing)Discover the best practices to successfully implement AI by examining case studies including Uber, Facebook, Waymo, UiPath, and Stitch FixUnderstand how AI capabilities for robots can improve businessDeploy chatbots and Robotic Processing Automation (RPA) to save costs and improve customer serviceAvoid costly gotchasRecognize ethical concerns and other risk factors of using artificial intelligenceExamine the secular trends and how they may impact your business Who This Book Is For Readers without a technical background, such as managers, looking to understand AI to evaluate solutions.

Thoughtful Machine Learning

Author : Matthew Kirk
Publisher :
ISBN 13 : 9781449374075
Total Pages : pages
Book Rating : 4.3/5 (74 download)

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Book Synopsis Thoughtful Machine Learning by : Matthew Kirk

Download or read book Thoughtful Machine Learning written by Matthew Kirk and published by . This book was released on 2014 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to apply test-driven development (TDD) to machine-learning algorithms{u2014}and catch mistakes that could sink your analysis. In this practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you how to apply TDD to several machine-learning algorithms, including Naive Bayesian classifiers and Neural Networks. Machine-learning algorithms often have tests baked in, but they can{u2019}t account for human errors in coding. Rather than blindly rely on machine-learning results as many researchers have, you can mitigate the risk of errors with TDD and write clean, stable machine-learning code. If you{u2019}re familiar with Ruby 2.1, you{u2019}re ready to start. Apply TDD to write and run tests before you start coding Learn the best uses and tradeoffs of eight machine learning algorithms Use real-world examples to test each algorithm through engaging, hands-on exercises Understand the similarities between TDD and the scientific method for validating solutions Be aware of the risks of machine learning, such as underfitting and overfitting data Explore techniques for improving your machine-learning models or data extraction.