Unveiling The Power Of Gpt 4o

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Unveiling the Power of GPT-4o

Author : StoryBuddiesPlay
Publisher : StoryBuddiesPlay
ISBN 13 :
Total Pages : 73 pages
Book Rating : 4./5 ( download)

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Book Synopsis Unveiling the Power of GPT-4o by : StoryBuddiesPlay

Download or read book Unveiling the Power of GPT-4o written by StoryBuddiesPlay and published by StoryBuddiesPlay. This book was released on 2024-05-18 with total page 73 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unveiling the Power of GPT-4o: A Multimodal Mastermind and Its Impact on Our World In the ever-evolving landscape of Artificial Intelligence, GPT-4o stands as a groundbreaking achievement. This powerful model transcends the limitations of previous AI, ushering in a new era of multimodal processing. This comprehensive guide delves into the core functionalities of GPT-4o, exploring its exceptional abilities in understanding and generating text, audio, and visual data. Unveiling a Multimodal Marvel: Peer under the hood of GPT-4o's architecture and discover the intricate workings of this marvel. Learn how specialized sub-models work together to analyze and process information from various modalities. We'll explore the role of transformers, attention mechanisms, and self-attention in empowering GPT-4o to not only grasp individual elements but also understand the relationships between them, creating a rich and contextual understanding of the information it encounters. Beyond Text Generation: A World of Creative Possibilities While GPT-4o's prowess in text generation is undeniable, its true potential lies in its ability to handle various media formats. Imagine writers overcoming writer's block with the help of GPT-4o's creative prompts and alternative phrasing suggestions. Musicians can experiment with new genres or generate entire pieces inspired by images or emotions. This technology empowers creators across various disciplines to push boundaries and unlock a new level of creative freedom. Revolutionizing Communication and Content Creation: The implications of GPT-4o extend far beyond creative endeavors. Imagine a world where language barriers crumble thanks to real-time, multimodal translation. Tourists can explore foreign countries with their phones translating signs, offering historical insights, and even facilitating conversations with locals. Content creation is transformed as well. Reports become effortlessly organized and informative, while emails shed the burden of tedious phrasing. The Future of Work: Human-AI Collaboration Redefines Industries The arrival of GPT-4o ushers in a new era for the workforce. Imagine AI handling repetitive tasks, freeing humans to focus on higher-level thinking and problem-solving. This necessitates a shift towards upskilling and reskilling initiatives, ensuring a smooth transition and preparing the workforce to collaborate effectively with AI. From doctors leveraging AI for faster diagnoses to engineers utilizing the model for complex simulations, GPT-4o has the potential to augment human capabilities and revolutionize numerous industries. The Ethical Landscape: Guiding Principles for Responsible AI Development With immense power comes great responsibility. This guide explores the crucial considerations surrounding the ethical development and use of GPT-4o. We'll delve into the potential for bias within the training data and the importance of implementing safeguards against misinformation. Transparency and explainability are paramount, fostering trust and empowering users to leverage the model's capabilities effectively. A Look Ahead: The Evolving Landscape of AI and the Promise of GPT-4o GPT-4o marks a significant leap forward, but it's merely the beginning of a thrilling journey. This guide explores the exciting frontiers of AI, teasing the potential for breakthroughs like Artificial General Intelligence (AGI) and Explainable AI (XAI). We'll examine the concept of Human-AI Symbiosis, where human and machine intelligence work together to create a future brimming with innovation. The future of AI is bright, and with responsible development and a collaborative spirit, GPT-4o paves the way for a future where humans and AI work together to address global challenges and build a better world for all.

Computing with Data

Author : Guy Lebanon
Publisher : Springer
ISBN 13 : 9783319981482
Total Pages : 0 pages
Book Rating : 4.9/5 (814 download)

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Book Synopsis Computing with Data by : Guy Lebanon

Download or read book Computing with Data written by Guy Lebanon and published by Springer. This book was released on 2018-12-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces basic computing skills designed for industry professionals without a strong computer science background. Written in an easily accessible manner, and accompanied by a user-friendly website, it serves as a self-study guide to survey data science and data engineering for those who aspire to start a computing career, or expand on their current roles, in areas such as applied statistics, big data, machine learning, data mining, and informatics. The authors draw from their combined experience working at software and social network companies, on big data products at several major online retailers, as well as their experience building big data systems for an AI startup. Spanning from the basic inner workings of a computer to advanced data manipulation techniques, this book opens doors for readers to quickly explore and enhance their computing knowledge. Computing with Data comprises a wide range of computational topics essential for data scientists, analysts, and engineers, providing them with the necessary tools to be successful in any role that involves computing with data. The introduction is self-contained, and chapters progress from basic hardware concepts to operating systems, programming languages, graphing and processing data, testing and programming tools, big data frameworks, and cloud computing. The book is fashioned with several audiences in mind. Readers without a strong educational background in CS--or those who need a refresher--will find the chapters on hardware, operating systems, and programming languages particularly useful. Readers with a strong educational background in CS, but without significant industry background, will find the following chapters especially beneficial: learning R, testing, programming, visualizing and processing data in Python and R, system design for big data, data stores, and software craftsmanship.

The Difference

Author : Scott E. Page
Publisher : Princeton University Press
ISBN 13 : 1400830281
Total Pages : 457 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis The Difference by : Scott E. Page

Download or read book The Difference written by Scott E. Page and published by Princeton University Press. This book was released on 2008-08-11 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this landmark book, Scott Page redefines the way we understand ourselves in relation to one another. The Difference is about how we think in groups--and how our collective wisdom exceeds the sum of its parts. Why can teams of people find better solutions than brilliant individuals working alone? And why are the best group decisions and predictions those that draw upon the very qualities that make each of us unique? The answers lie in diversity--not what we look like outside, but what we look like within, our distinct tools and abilities. The Difference reveals that progress and innovation may depend less on lone thinkers with enormous IQs than on diverse people working together and capitalizing on their individuality. Page shows how groups that display a range of perspectives outperform groups of like-minded experts. Diversity yields superior outcomes, and Page proves it using his own cutting-edge research. Moving beyond the politics that cloud standard debates about diversity, he explains why difference beats out homogeneity, whether you're talking about citizens in a democracy or scientists in the laboratory. He examines practical ways to apply diversity's logic to a host of problems, and along the way offers fascinating and surprising examples, from the redesign of the Chicago "El" to the truth about where we store our ketchup. Page changes the way we understand diversity--how to harness its untapped potential, how to understand and avoid its traps, and how we can leverage our differences for the benefit of all.

Marketing Artificial Intelligence

Author : Paul Roetzer
Publisher : BenBella Books
ISBN 13 : 1637740794
Total Pages : 257 pages
Book Rating : 4.6/5 (377 download)

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Book Synopsis Marketing Artificial Intelligence by : Paul Roetzer

Download or read book Marketing Artificial Intelligence written by Paul Roetzer and published by BenBella Books. This book was released on 2022-06-28 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence is forecasted to have trillions of dollars of impact on businesses and the economy, yet many marketers struggle to understand what it is and how to apply it in their marketing efforts. The truth is, AI possesses the power to change everything. While AI-powered marketing technologies may never achieve the sci-fi vision of self-running, self-improving autonomous systems, a little bit of AI can go a long way toward dramatically increasing productivity, efficiency, and performance. Marketing AI Institute’s Founder & CEO, Paul Roetzer, and Chief Content Officer, Mike Kaput, join forces to show marketers how to embrace AI and make it their competitive advantage. Marketing Artificial Intelligence draws on years of research and dozens of interviews with AI marketers, executives, engineers, and entrepreneurs. Roetzer and Kaput present the current potential of AI, as well as a glimpse into a near future in which marketers and machines work seamlessly to run personalized campaigns of unprecedented complexity with unimaginable simplicity. As the amount of data exponentially increases, marketers’ abilities to filter through the noise and turn information into actionable intelligence remain limited. Roetzer and Kaput show you how to make breaking through that noise your superpower. So, come along on a journey of exploration and enlightenment. Marketing Artificial Intelligence is the blueprint for understanding and applying AI, giving you just the edge in your career you’ve been waiting for.

Human Frontiers

Author : Michael Bhaskar
Publisher : MIT Press
ISBN 13 : 0262545101
Total Pages : 433 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Human Frontiers by : Michael Bhaskar

Download or read book Human Frontiers written by Michael Bhaskar and published by MIT Press. This book was released on 2022-08-02 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why has the flow of big, world-changing ideas slowed down? A provocative look at what happens next at the frontiers of human knowledge. The history of humanity is the history of big ideas that expand our frontiers—from the wheel to space flight, cave painting to the massively multiplayer game, monotheistic religion to quantum theory. And yet for the past few decades, apart from a rush of new gadgets and the explosion of digital technology, world-changing ideas have been harder to come by. Since the 1970s, big ideas have happened incrementally—recycled, focused in narrow bands of innovation. In this provocative book, Michael Bhaskar looks at why the flow of big, world-changing ideas has slowed, and what this means for the future. Bhaskar argues that the challenge at the frontiers of knowledge has arisen not because we are unimaginative and bad at realizing big ideas but because we have already pushed so far. If we compare the world of our great-great-great-grandparents to ours today, we can see how a series of transformative ideas revolutionized almost everything in just a century and a half. But recently, because of short-termism, risk aversion, and fractious decision making, we have built a cautious, unimaginative world. Bhaskar shows how we can start to expand the frontier again by thinking big—embarking on the next Universal Declaration of Human Rights or Apollo mission—and embracing change.

GraphQL in Action

Author : Samer Buna
Publisher : Manning Publications
ISBN 13 : 161729568X
Total Pages : 382 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis GraphQL in Action by : Samer Buna

Download or read book GraphQL in Action written by Samer Buna and published by Manning Publications. This book was released on 2021-03-09 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: GraphQL in Action gives you the tools to get comfortable with the GraphQL language, build and optimize a data API service, and use it in a front-end client application. Summary Reduce bandwidth demands on your APIs by getting only the results you need—all in a single request! The GraphQL query language simplifies interactions with web servers, enabling smarter API queries that can hugely improve the efficiency of data requests. In GraphQL in Action, you'll learn how to bring those benefits to your own APIs, giving your clients the power to ask for exactly what they need from your server, no more, no less. Practical and example-driven, this book teaches everything you need to get started with GraphQL—from design principles and syntax right through to performance optimization. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology GraphQL APIs are fast, efficient, and easy to maintain. They reduce app latency and server cost while boosting developer productivity. This powerful query layer offers precise control over API requests and returns, making apps faster and less prone to error. About the book GraphQL in Action gives you the tools to get comfortable with the GraphQL language, build and optimize a data API service, and use it in a front-end client application. By working through set up, security, and error handling you'll learn to create a complete GraphQL server. You'll also unlock easy ways to incorporate GraphQL into your existing codebase so you can build simple, scalable data APIs. What's inside Define a GraphQL schema for relational and document databases Implement GraphQL types using both the schema language and object constructor methods Optimize GraphQL resolvers with data caching and batching Design GraphQL fragments that match UI components' data requirements Consume GraphQL API queries, mutations, and subscriptions with and without a GraphQL client library About the reader For web developers familiar with client-server applications. About the author Samer Buna has over 20 years of experience in software development including front-ends, back-ends, API design, and scalability. Table of Contents PART 1- EXPLORING GRAPHQL 1 Introduction to GraphQL 2 Exploring GraphQL APIs 3 Customizing and organizing GraphQL operations PART 2 - BUILDING GRAPHQL APIs 4 Designing a GraphQL schema 5 Implementing schema resolvers 6 Working with database models and relations 7 Optimizing data fetching 8 Implementing mutations PART 3 - USING GRAPHQL APIs 9 Using GraphQL APIs without a client library 10 Using GraphQL APIs with Apollo client

Deceitful Media

Author : Simone Natale
Publisher : Oxford University Press, USA
ISBN 13 : 0190080361
Total Pages : 209 pages
Book Rating : 4.1/5 (9 download)

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Book Synopsis Deceitful Media by : Simone Natale

Download or read book Deceitful Media written by Simone Natale and published by Oxford University Press, USA. This book was released on 2021 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Since its inception, Artificial Intelligence (AI) has been nurtured by the dream - cherished by some scientists while dismissed as unrealistic by others - that it will lead to forms of intelligence similar or alternative to human life. However, AI might be more accurately described as a range of technologies providing a convincing illusion of intelligence - in other words, not much the creation of intelligent beings, but rather of technologies that are perceived by humans as such. Deceitful Media argues that AI resides also and especially in the perception of human users. Exploring the history of AI from its origins in the Turing Test to contemporary AI voice assistants such as Alexa and Siri, Simone Natale demonstrates that our tendency to project humanity into things shapes the very functioning and implications of AI. He argues for a recalibration of the relationship between deception and AI that helps recognize and critically question how computing technologies mobilize specific aspects of users' perception and psychology in order to create what we call "AI." Introducing the concept of "banal deception," which describes deceptive mechanisms and practices that are embedded in AI, the book shows that deception is as central to AI's functioning as the circuits, software, and data that make it run. Delving into the relationship between AI and deception, Deceitful Media thus reformulates the debate on AI on the basis of a new assumption: that what machines are changing is primarily us, humans. If 'intelligent' machines might one day revolutionize life, the book provocatively suggests, they are already transforming how we understand and carry out social interactions"--

Jefferson Himself

Author : Thomas Jefferson
Publisher : University of Virginia Press
ISBN 13 : 9780813903101
Total Pages : 420 pages
Book Rating : 4.9/5 (31 download)

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Book Synopsis Jefferson Himself by : Thomas Jefferson

Download or read book Jefferson Himself written by Thomas Jefferson and published by University of Virginia Press. This book was released on 1970 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Great Stagnation

Author : Tyler Cowen
Publisher : Penguin
ISBN 13 : 1101502258
Total Pages : 98 pages
Book Rating : 4.1/5 (15 download)

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Book Synopsis The Great Stagnation by : Tyler Cowen

Download or read book The Great Stagnation written by Tyler Cowen and published by Penguin. This book was released on 2011-01-25 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tyler Cowen’s controversial New York Times bestseller—the book heard round the world that ignited a firestorm of debate and redefined the nature of America’s economic malaise. America has been through the biggest financial crisis since the great Depression, unemployment numbers are frightening, media wages have been flat since the 1970s, and it is common to expect that things will get worse before they get better. Certainly, the multidecade stagnation is not yet over. How will we get out of this mess? One political party tries to increase government spending even when we have no good plan for paying for ballooning programs like Medicare and Social Security. The other party seems to think tax cuts will raise revenue and has a record of creating bigger fiscal disasters that the first. Where does this madness come from? As Cowen argues, our economy has enjoyed low-hanging fruit since the seventeenth century: free land, immigrant labor, and powerful new technologies. But during the last forty years, the low-hanging fruit started disappearing, and we started pretending it was still there. We have failed to recognize that we are at a technological plateau. The fruit trees are barer than we want to believe. That's it. That is what has gone wrong and that is why our politics is crazy. In The Great Stagnation, Cowen reveals the underlying causes of our past prosperity and how we will generate it again. This is a passionate call for a new respect of scientific innovations that benefit not only the powerful elites, but humanity as a whole.

Student Voice

Author : Michael Lubelfeld
Publisher : Rowman & Littlefield
ISBN 13 : 1475840039
Total Pages : 168 pages
Book Rating : 4.4/5 (758 download)

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Book Synopsis Student Voice by : Michael Lubelfeld

Download or read book Student Voice written by Michael Lubelfeld and published by Rowman & Littlefield. This book was released on 2018-01-02 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Student Voice: From Invisible to Invaluable is about why and how today’s leaders need to connect with students for success. The premise of this book is that student voice is often invisible and that is possibly why schools have changed little since the 19th Century. From digital citizenship to teacher evaluation, we submit that the voice of students can be and needs to be amplified. The authors wrote this book to help elevate the power and influence of student voice in the transformation and leadership of our schools. The authors provide context that helps frame where education has been, where it stands today, and where the authors propose we go in school leadership. To truly transform, schools leaders in the classroom, principal’s office, and district office need to elevate the voice of the student. There is no greater way to inspire our children than to let them have a say in their own education. We simply cannot create the leaders of tomorrow when we do not let them lead today. This book will provide examples of excellence, stories of success, and practical tips to help you move student voice from invisible to invaluable.

Bureaucrats in Business

Author :
Publisher : World Bank Publications
ISBN 13 : 9780195211061
Total Pages : 370 pages
Book Rating : 4.2/5 (11 download)

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Book Synopsis Bureaucrats in Business by :

Download or read book Bureaucrats in Business written by and published by World Bank Publications. This book was released on 1995 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Refer review of this policy book in 'Journal of International Development, vol. 10, 7, 1998. pp.841-855.

Introduction to Nonparametric Statistics for the Biological Sciences Using R

Author : Thomas W. MacFarland
Publisher : Springer
ISBN 13 : 3319306340
Total Pages : 341 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Introduction to Nonparametric Statistics for the Biological Sciences Using R by : Thomas W. MacFarland

Download or read book Introduction to Nonparametric Statistics for the Biological Sciences Using R written by Thomas W. MacFarland and published by Springer. This book was released on 2016-07-06 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences: To introduce when nonparametric approaches to data analysis are appropriate To introduce the leading nonparametric tests commonly used in biostatistics and how R is used to generate appropriate statistics for each test To introduce common figures typically associated with nonparametric data analysis and how R is used to generate appropriate figures in support of each data set The book focuses on how R is used to distinguish between data that could be classified as nonparametric as opposed to data that could be classified as parametric, with both approaches to data classification covered extensively. Following an introductory lesson on nonparametric statistics for the biological sciences, the book is organized into eight self-contained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach.

Leaving Addie for SAM

Author : Michael Allen
Publisher : Association for Talent Development
ISBN 13 : 1607286750
Total Pages : 206 pages
Book Rating : 4.6/5 (72 download)

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Book Synopsis Leaving Addie for SAM by : Michael Allen

Download or read book Leaving Addie for SAM written by Michael Allen and published by Association for Talent Development. This book was released on 2012-09-26 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ADDIE process is past its prime. It was developed long before Agile and other iterative processes that have introduced greater efficiencies in design and development, fostered more creativity, and addressed effective stakeholder involvement. Leaving ADDIE for SAM introduces two new concepts—SAM, the Successive Approximation Model, and the Savvy Start. Together, they incorporate contemporary design and development processes that simplify instructional design and development, yielding more energetic and effective learning experiences. This book is a must-read for all learning professionals who have a desire to let go of outdated methodologies and start creating better, faster training products today.

Deep Learning Illustrated

Author : Jon Krohn
Publisher : Addison-Wesley Professional
ISBN 13 : 0135121728
Total Pages : 725 pages
Book Rating : 4.1/5 (351 download)

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Book Synopsis Deep Learning Illustrated by : Jon Krohn

Download or read book Deep Learning Illustrated written by Jon Krohn and published by Addison-Wesley Professional. This book was released on 2019-08-05 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come." – Tim Urban, author of Wait But Why Fully Practical, Insightful Guide to Modern Deep Learning Deep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn. World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered. You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms. Discover what makes deep learning systems unique, and the implications for practitioners Explore new tools that make deep learning models easier to build, use, and improve Master essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and more Walk through building interactive deep learning applications, and move forward with your own artificial intelligence projects Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Learn Amazon SageMaker

Author : Julien Simon
Publisher : Packt Publishing Ltd
ISBN 13 : 1800203594
Total Pages : 490 pages
Book Rating : 4.8/5 (2 download)

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Book Synopsis Learn Amazon SageMaker by : Julien Simon

Download or read book Learn Amazon SageMaker written by Julien Simon and published by Packt Publishing Ltd. This book was released on 2020-08-27 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quickly build and deploy machine learning models without managing infrastructure, and improve productivity using Amazon SageMaker’s capabilities such as Amazon SageMaker Studio, Autopilot, Experiments, Debugger, and Model Monitor Key FeaturesBuild, train, and deploy machine learning models quickly using Amazon SageMakerAnalyze, detect, and receive alerts relating to various business problems using machine learning algorithms and techniquesImprove productivity by training and fine-tuning machine learning models in productionBook Description Amazon SageMaker enables you to quickly build, train, and deploy machine learning (ML) models at scale, without managing any infrastructure. It helps you focus on the ML problem at hand and deploy high-quality models by removing the heavy lifting typically involved in each step of the ML process. This book is a comprehensive guide for data scientists and ML developers who want to learn the ins and outs of Amazon SageMaker. You’ll understand how to use various modules of SageMaker as a single toolset to solve the challenges faced in ML. As you progress, you’ll cover features such as AutoML, built-in algorithms and frameworks, and the option for writing your own code and algorithms to build ML models. Later, the book will show you how to integrate Amazon SageMaker with popular deep learning libraries such as TensorFlow and PyTorch to increase the capabilities of existing models. You’ll also learn to get the models to production faster with minimum effort and at a lower cost. Finally, you’ll explore how to use Amazon SageMaker Debugger to analyze, detect, and highlight problems to understand the current model state and improve model accuracy. By the end of this Amazon book, you’ll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation. What you will learnCreate and automate end-to-end machine learning workflows on Amazon Web Services (AWS)Become well-versed with data annotation and preparation techniquesUse AutoML features to build and train machine learning models with AutoPilotCreate models using built-in algorithms and frameworks and your own codeTrain computer vision and NLP models using real-world examplesCover training techniques for scaling, model optimization, model debugging, and cost optimizationAutomate deployment tasks in a variety of configurations using SDK and several automation toolsWho this book is for This book is for software engineers, machine learning developers, data scientists, and AWS users who are new to using Amazon SageMaker and want to build high-quality machine learning models without worrying about infrastructure. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. Some understanding of machine learning concepts and the Python programming language will also be beneficial.

Learning to Solve Problems

Author : David H. Jonassen
Publisher : Routledge
ISBN 13 : 1136941886
Total Pages : 615 pages
Book Rating : 4.1/5 (369 download)

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Book Synopsis Learning to Solve Problems by : David H. Jonassen

Download or read book Learning to Solve Problems written by David H. Jonassen and published by Routledge. This book was released on 2010-09-13 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive, up-to-date look at problem solving research and practice over the last fifteen years. The first chapter describes differences in types of problems, individual differences among problem-solvers, as well as the domain and context within which a problem is being solved. Part one describes six kinds of problems and the methods required to solve them. Part two goes beyond traditional discussions of case design and introduces six different purposes or functions of cases, the building blocks of problem-solving learning environments. It also describes methods for constructing cases to support problem solving. Part three introduces a number of cognitive skills required for studying cases and solving problems. Finally, Part four describes several methods for assessing problem solving. Key features includes: Teaching Focus – The book is not merely a review of research. It also provides specific research-based advice on how to design problem-solving learning environments. Illustrative Cases – A rich array of cases illustrates how to build problem-solving learning environments. Part two introduces six different functions of cases and also describes the parameters of a case. Chapter Integration – Key theories and concepts are addressed across chapters and links to other chapters are made explicit. The idea is to show how different kinds of problems, cases, skills, and assessments are integrated. Author expertise – A prolific researcher and writer, the author has been researching and publishing books and articles on learning to solve problems for the past fifteen years. This book is appropriate for advanced courses in instructional design and technology, science education, applied cognitive psychology, thinking and reasoning, and educational psychology. Instructional designers, especially those involved in designing problem-based learning, as well as curriculum designers who seek new ways of structuring curriculum will find it an invaluable reference tool.

Applied Predictive Modeling

Author : Max Kuhn
Publisher : Springer Science & Business Media
ISBN 13 : 1461468493
Total Pages : 595 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Applied Predictive Modeling by : Max Kuhn

Download or read book Applied Predictive Modeling written by Max Kuhn and published by Springer Science & Business Media. This book was released on 2013-05-17 with total page 595 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.