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Author : Gerardus Blokdyk
Publisher :
ISBN 13 : 9781489189745
Total Pages : 0 pages
Book Rating : 4.1/5 (897 download)
Download or read book Large Scale Machine Learning with Python Complete Self-Assessment Guide written by Gerardus Blokdyk and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9781489139740
Total Pages : pages
Book Rating : 4.1/5 (397 download)
Download or read book Large Scale Machine Learning with Python Complete Self-Assessment Guide written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2017-07-22 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: How does Large Scale Machine Learning with Python integrate with other business initiatives? What are your current levels and trends in key measures or indicators of Large Scale Machine Learning with Python product and process performance that are important to and directly serve your customers? how do these results compare with the performance of your competi tors and other organizations with similar offerings? How can we incorporate support to ensure safe and effective use of Large Scale Machine Learning with Python into the services that we provide? Meeting the Challenge: Are Missed Large Scale Machine Learning with Python opportunities Costing you Money? What tools do you use once you have decided on a Large Scale Machine Learning with Python strategy and more importantly how do you choose? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role... In EVERY company, organization and department. Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' For more than twenty years, The Art of Service's Self-Assessments empower people who can do just that - whether their title is marketer, entrepreneur, manager, salesperson, consultant, business process manager, executive assistant, IT Manager, CxO etc... - they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better. This book is for managers, advisors, consultants, specialists, professionals and anyone interested in Large Scale Machine Learning with Python assessment. All the tools you need to an in-depth Large Scale Machine Learning with Python Self-Assessment. Featuring 616 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Large Scale Machine Learning with Python improvements can be made. In using the questions you will be better able to: - diagnose Large Scale Machine Learning with Python projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Large Scale Machine Learning with Python and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Large Scale Machine Learning with Python Scorecard, you will develop a clear picture of which Large Scale Machine Learning with Python areas need attention. Included with your purchase of the book is the Large Scale Machine Learning with Python Self-Assessment downloadable resource, which contains all questions and Self-Assessment areas of this book in a ready to use Excel dashboard, including the self-assessment, graphic insights, and project planning automation - all with examples to get you started with the assessment right away. Access instructions can be found in the book. You are free to use the Self-Assessment contents in your presentations and materials for customers without asking us - we are here to help.
Author : Gerardus Blokdyk
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781986952804
Total Pages : 138 pages
Book Rating : 4.9/5 (528 download)
Download or read book Large Scale Machine Learning with Python written by Gerardus Blokdyk and published by Createspace Independent Publishing Platform. This book was released on 2018-03-29 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Large Scale Machine Learning with Python's impact on utilizing the best solution(s)? What sources do you use to gather information for a Large Scale Machine Learning with Python study? What situation(s) led to this Large Scale Machine Learning with Python Self Assessment? How do you manage and improve your Large Scale Machine Learning with Python work systems to deliver customer value and achieve organizational success and sustainability? Are there any constraints known that bear on the ability to perform Large Scale Machine Learning with Python work? How is the team addressing them? Defining, designing, creating, and implementing a process to solve a challenge or meet an objective is the most valuable role... In EVERY group, company, organization and department. Unless you are talking a one-time, single-use project, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Large Scale Machine Learning with Python investments work better. This Large Scale Machine Learning with Python All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Large Scale Machine Learning with Python Self-Assessment. Featuring 723 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Large Scale Machine Learning with Python improvements can be made. In using the questions you will be better able to: - diagnose Large Scale Machine Learning with Python projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Large Scale Machine Learning with Python and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Large Scale Machine Learning with Python Scorecard, you will develop a clear picture of which Large Scale Machine Learning with Python areas need attention. Your purchase includes access details to the Large Scale Machine Learning with Python self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Author : Gerardus Blokdyk
Publisher :
ISBN 13 : 9781488542848
Total Pages : 0 pages
Book Rating : 4.5/5 (428 download)
Download or read book Designing Machine Learning Systems with Python Complete Self-Assessment Guide written by Gerardus Blokdyk and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gerardus Blokdyk
Publisher :
ISBN 13 : 9781489199195
Total Pages : 0 pages
Book Rating : 4.1/5 (991 download)
Download or read book Python Machine Learning Complete Self-Assessment Guide written by Gerardus Blokdyk and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9781489149190
Total Pages : pages
Book Rating : 4.1/5 (491 download)
Download or read book Python Machine Learning Complete Self-Assessment Guide written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-01-05 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Is there any existing Python Machine Learning governance structure? Is Python Machine Learning dependent on the successful delivery of a current project? Will new equipment/products be required to facilitate Python Machine Learning delivery for example is new software needed? How do we go about Comparing Python Machine Learning approaches/solutions? How is the value delivered by Python Machine Learning being measured? This best-selling Python Machine Learning self-assessment will make you the accepted Python Machine Learning domain expert by revealing just what you need to know to be fluent and ready for any Python Machine Learning challenge. How do I reduce the effort in the Python Machine Learning work to be done to get problems solved? How can I ensure that plans of action include every Python Machine Learning task and that every Python Machine Learning outcome is in place? How will I save time investigating strategic and tactical options and ensuring Python Machine Learning opportunity costs are low? How can I deliver tailored Python Machine Learning advise instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Python Machine Learning essentials are covered, from every angle: the Python Machine Learning self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Python Machine Learning outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Python Machine Learning practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Python Machine Learning are maximized with professional results. Your purchase includes access details to the Python Machine Learning self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Author : Gerardus Blokdyk
Publisher :
ISBN 13 : 9781489189189
Total Pages : 0 pages
Book Rating : 4.1/5 (891 download)
Download or read book Python Deep Learning Complete Self-Assessment Guide written by Gerardus Blokdyk and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9781489139184
Total Pages : pages
Book Rating : 4.1/5 (391 download)
Download or read book Python Deep Learning Complete Self-Assessment Guide written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2018-01-06 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Who will be responsible for making the decisions to include or exclude requested changes once Python Deep Learning is underway? Have all basic functions of Python Deep Learning been defined? What are the business objectives to be achieved with Python Deep Learning? Are there Python Deep Learning Models? What would happen if Python Deep Learning weren't done? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role... In EVERY company, organization and department. Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' This Self-Assessment empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make Python Deep Learning investments work better. This Python Deep Learning All-Inclusive Self-Assessment enables You to be that person. All the tools you need to an in-depth Python Deep Learning Self-Assessment. Featuring 723 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Python Deep Learning improvements can be made. In using the questions you will be better able to: - diagnose Python Deep Learning projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Python Deep Learning and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Python Deep Learning Scorecard, you will develop a clear picture of which Python Deep Learning areas need attention. Your purchase includes access details to the Python Deep Learning self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Author : Gerardus Blokdyk
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781974012985
Total Pages : 120 pages
Book Rating : 4.0/5 (129 download)
Download or read book Deep Learning Complete Self-assessment Guide written by Gerardus Blokdyk and published by Createspace Independent Publishing Platform. This book was released on 2017-07-28 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Who are the Python Deep Learning improvement team members, including Management Leads and Coaches? How do mission and objectives affect the Python Deep Learning processes of our organization? Are there any easy-to-implement alternatives to Deep Learning? Sometimes other solutions are available that do not require the cost implications of a full-blown project? Why are Python Deep Learning skills important? Do we aggressively reward and promote the people who have the biggest impact on creating excellent Python Deep Learning services/products? Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role... In EVERY company, organization and department. Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?' For more than twenty years, The Art of Service's Self-Assessments empower people who can do just that - whether their title is marketer, entrepreneur, manager, salesperson, consultant, business process manager, executive assistant, IT Manager, CxO etc... - they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better. This book is for managers, advisors, consultants, specialists, professionals and anyone interested in Deep Learning assessment. All the tools you need to an in-depth Deep Learning Self-Assessment. Featuring 598 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Deep Learning improvements can be made. In using the questions you will be better able to: - diagnose Deep Learning projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices - implement evidence-based best practice strategies aligned with overall goals - integrate recent advances in Deep Learning and process design strategies into practice according to best practice guidelines Using a Self-Assessment tool known as the Deep Learning Scorecard, you will develop a clear picture of which Deep Learning areas need attention. Included with your purchase of the book is the Deep Learning Self-Assessment downloadable resource, which contains all questions and Self-Assessment areas of this book in a ready to use Excel dashboard, including the self-assessment, graphic insights, and project planning automation - all with examples to get you started with the assessment right away. Access instructions can be found in the book. You are free to use the Self-Assessment contents in your presentations and materials for customers without asking us - we are here to help.
Author : Bastiaan Sjardin
Publisher : Packt Publishing Ltd
ISBN 13 : 1785888021
Total Pages : 420 pages
Book Rating : 4.7/5 (858 download)
Download or read book Large Scale Machine Learning with Python written by Bastiaan Sjardin and published by Packt Publishing Ltd. This book was released on 2016-08-03 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to build powerful machine learning models quickly and deploy large-scale predictive applications About This Book Design, engineer and deploy scalable machine learning solutions with the power of Python Take command of Hadoop and Spark with Python for effective machine learning on a map reduce framework Build state-of-the-art models and develop personalized recommendations to perform machine learning at scale Who This Book Is For This book is for anyone who intends to work with large and complex data sets. Familiarity with basic Python and machine learning concepts is recommended. Working knowledge in statistics and computational mathematics would also be helpful. What You Will Learn Apply the most scalable machine learning algorithms Work with modern state-of-the-art large-scale machine learning techniques Increase predictive accuracy with deep learning and scalable data-handling techniques Improve your work by combining the MapReduce framework with Spark Build powerful ensembles at scale Use data streams to train linear and non-linear predictive models from extremely large datasets using a single machine In Detail Large Python machine learning projects involve new problems associated with specialized machine learning architectures and designs that many data scientists have yet to tackle. But finding algorithms and designing and building platforms that deal with large sets of data is a growing need. Data scientists have to manage and maintain increasingly complex data projects, and with the rise of big data comes an increasing demand for computational and algorithmic efficiency. Large Scale Machine Learning with Python uncovers a new wave of machine learning algorithms that meet scalability demands together with a high predictive accuracy. Dive into scalable machine learning and the three forms of scalability. Speed up algorithms that can be used on a desktop computer with tips on parallelization and memory allocation. Get to grips with new algorithms that are specifically designed for large projects and can handle bigger files, and learn about machine learning in big data environments. We will also cover the most effective machine learning techniques on a map reduce framework in Hadoop and Spark in Python. Style and Approach This efficient and practical title is stuffed full of the techniques, tips and tools you need to ensure your large scale Python machine learning runs swiftly and seamlessly. Large-scale machine learning tackles a different issue to what is currently on the market. Those working with Hadoop clusters and in data intensive environments can now learn effective ways of building powerful machine learning models from prototype to production. This book is written in a style that programmers from other languages (R, Julia, Java, Matlab) can follow.
Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9780655943846
Total Pages : 316 pages
Book Rating : 4.9/5 (438 download)
Download or read book Designing Machine Learning Systems With Python A Complete Guide - 2020 Edition written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2019-10-23 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: How frequently do you track Designing Machine Learning Systems with Python measures? How do you catch Designing Machine Learning Systems with Python definition inconsistencies? How would you define Designing Machine Learning Systems with Python leadership? What Designing Machine Learning Systems with Python standards are applicable? Who is gathering Designing Machine Learning Systems with Python information? This one-of-a-kind Designing Machine Learning Systems With Python self-assessment will make you the dependable Designing Machine Learning Systems With Python domain assessor by revealing just what you need to know to be fluent and ready for any Designing Machine Learning Systems With Python challenge. How do I reduce the effort in the Designing Machine Learning Systems With Python work to be done to get problems solved? How can I ensure that plans of action include every Designing Machine Learning Systems With Python task and that every Designing Machine Learning Systems With Python outcome is in place? How will I save time investigating strategic and tactical options and ensuring Designing Machine Learning Systems With Python costs are low? How can I deliver tailored Designing Machine Learning Systems With Python advice instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Designing Machine Learning Systems With Python essentials are covered, from every angle: the Designing Machine Learning Systems With Python self-assessment shows succinctly and clearly that what needs to be clarified to organize the required activities and processes so that Designing Machine Learning Systems With Python outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Designing Machine Learning Systems With Python practitioners. Their mastery, combined with the easy elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Designing Machine Learning Systems With Python are maximized with professional results. Your purchase includes access details to the Designing Machine Learning Systems With Python self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows you exactly what to do next. Your exclusive instant access details can be found in your book. You will receive the following contents with New and Updated specific criteria: - The latest quick edition of the book in PDF - The latest complete edition of the book in PDF, which criteria correspond to the criteria in... - The Self-Assessment Excel Dashboard - Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation - In-depth and specific Designing Machine Learning Systems With Python Checklists - Project management checklists and templates to assist with implementation INCLUDES LIFETIME SELF ASSESSMENT UPDATES Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.
Author : Gerardus Blokdyk
Publisher :
ISBN 13 : 9781489188861
Total Pages : 0 pages
Book Rating : 4.1/5 (888 download)
Download or read book Tensorflow Machine Learning Complete Self-Assessment Guide written by Gerardus Blokdyk and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gerardus Blokdyk
Publisher : 5starcooks
ISBN 13 : 9781489141767
Total Pages : pages
Book Rating : 4.1/5 (417 download)
Download or read book Machine Learning Complete Self-Assessment Guide written by Gerardus Blokdyk and published by 5starcooks. This book was released on 2017-09-10 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This exclusive Machine Learning Self-Assessment will make you the entrusted Machine Learning domain Adviser by revealing just what you need to know to be fluent and ready for any Machine Learning challenge. How do I reduce the effort in the Machine Learning work to be done to get problems solved? How can I ensure that plans of action include every Machine Learning task and that every Machine Learning outcome is in place? How will I save time investigating strategic and tactical options and ensuring Machine Learning opportunity costs are low? How can I deliver tailored Machine Learning advise instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerardus Blokdyk. Blokdyk ensures all Machine Learning essentials are covered, from every angle: the Machine Learning Self-Assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Machine Learning outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Machine Learning practitioners. Their mastery, combined with the uncommon elegance of the Self-Assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Machine Learning are maximized with professional results. Your purchase includes access to the $249 value Machine Learning Self-Assessment Dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Author : Gerardus Blokdyk
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781976315589
Total Pages : 122 pages
Book Rating : 4.3/5 (155 download)
Download or read book Machine Learning Complete Self-assessment Guide written by Gerardus Blokdyk and published by Createspace Independent Publishing Platform. This book was released on 2017-09-12 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: This exclusive Machine Learning Self-Assessment will make you the entrusted Machine Learning domain Adviser by revealing just what you need to know to be fluent and ready for any Machine Learning challenge. How do I reduce the effort in the Machine Learning work to be done to get problems solved? How can I ensure that plans of action include every Machine Learning task and that every Machine Learning outcome is in place? How will I save time investigating strategic and tactical options and ensuring Machine Learning opportunity costs are low? How can I deliver tailored Machine Learning advise instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerardus Blokdyk. Blokdyk ensures all Machine Learning essentials are covered, from every angle: the Machine Learning Self-Assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Machine Learning outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Machine Learning practitioners. Their mastery, combined with the uncommon elegance of the Self-Assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Machine Learning are maximized with professional results. Your purchase includes access to the $249 value Machine Learning Self-Assessment Dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.
Author : Gerardus Blokdyk
Publisher :
ISBN 13 : 9781489198204
Total Pages : 0 pages
Book Rating : 4.1/5 (982 download)
Download or read book Python High Performance Complete Self-Assessment Guide written by Gerardus Blokdyk and published by . This book was released on with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Isaac Triguero
Publisher : Cambridge University Press
ISBN 13 : 1009318233
Total Pages : 396 pages
Book Rating : 4.0/5 (93 download)
Download or read book Large-Scale Data Analytics with Python and Spark written by Isaac Triguero and published by Cambridge University Press. This book was released on 2023-11-23 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: Based on the authors' extensive teaching experience, this hands-on graduate-level textbook teaches how to carry out large-scale data analytics and design machine learning solutions for big data. With a focus on fundamentals, this extensively class-tested textbook walks students through key principles and paradigms for working with large-scale data, frameworks for large-scale data analytics (Hadoop, Spark), and explains how to implement machine learning to exploit big data. It is unique in covering the principles that aspiring data scientists need to know, without detail that can overwhelm. Real-world examples, hands-on coding exercises and labs combine with exceptionally clear explanations to maximize student engagement. Well-defined learning objectives, exercises with online solutions for instructors, lecture slides, and an accompanying suite of lab exercises of increasing difficulty in Jupyter Notebooks offer a coherent and convenient teaching package. An ideal teaching resource for courses on large-scale data analytics with machine learning in computer/data science departments.
Author : Dipanjan Sarkar
Publisher : Apress
ISBN 13 : 1484232070
Total Pages : 545 pages
Book Rating : 4.4/5 (842 download)
Download or read book Practical Machine Learning with Python written by Dipanjan Sarkar and published by Apress. This book was released on 2017-12-20 with total page 545 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code. Part 1 focuses on understanding machine learning concepts and tools. This includes machine learning basics with a broad overview of algorithms, techniques, concepts and applications, followed by a tour of the entire Python machine learning ecosystem. Brief guides for useful machine learning tools, libraries and frameworks are also covered. Part 2 details standard machine learning pipelines, with an emphasis on data processing analysis, feature engineering, and modeling. You will learn how to process, wrangle, summarize and visualize data in its various forms. Feature engineering and selection methodologies will be covered in detail with real-world datasets followed by model building, tuning, interpretation and deployment. Part 3 explores multiple real-world case studies spanning diverse domains and industries like retail, transportation, movies, music, marketing, computer vision and finance. For each case study, you will learn the application of various machine learning techniques and methods. The hands-on examples will help you become familiar with state-of-the-art machine learning tools and techniques and understand what algorithms are best suited for any problem. Practical Machine Learning with Python will empower you to start solving your own problems with machine learning today! What You'll Learn Execute end-to-end machine learning projects and systems Implement hands-on examples with industry standard, open source, robust machine learning tools and frameworks Review case studies depicting applications of machine learning and deep learning on diverse domains and industries Apply a wide range of machine learning models including regression, classification, and clustering. Understand and apply the latest models and methodologies from deep learning including CNNs, RNNs, LSTMs and transfer learning. Who This Book Is For IT professionals, analysts, developers, data scientists, engineers, graduate students
