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Author: Stephen Marsland
Publisher: CRC Press
ISBN: 1420067192
Category : Business & Economics
Languages : en
Pages : 407
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Book Description
Traditional books on machine learning can be divided into two groups- those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but
Author: Stephen Marsland
Publisher: CRC Press
ISBN: 1420067192
Category : Business & Economics
Languages : en
Pages : 407
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Book Description
Traditional books on machine learning can be divided into two groups- those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning methods, but
Author: Marc Peter Deisenroth
Publisher: Cambridge University Press
ISBN: 1108569323
Category : Computers
Languages : en
Pages : 392
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Book Description
The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.
Author: Aurélien Géron
Publisher: "O'Reilly Media, Inc."
ISBN: 149203259X
Category : Computers
Languages : en
Pages : 851
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Book Description
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets
Author: Jeremy Watt
Publisher: Cambridge University Press
ISBN: 1108480721
Category : Computers
Languages : en
Pages : 597
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Book Description
An intuitive approach to machine learning covering key concepts, real-world applications, and practical Python coding exercises.
Author: Renée Hoffinger
Publisher:
ISBN: 9780880919944
Category : Food habits
Languages : en
Pages : 261
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Book Description
This book will guide you from the theoretical underpinnings of hands-on nutrition education (HONE) programs to the tools necessary to turn that theory into practice and customize a program for your target population. Learn practical guidelines for different types of HONE activities, including: Food demonstrations; Grocery store tours; Cooking classes; Development and management of institutional HONE programs. Resources include equipment lists, cooking class materials, resource planning sheets, medical documentation guide, program surveys and evaluations, sample funding proposal and much more.
Author: Jason Bell
Publisher: John Wiley & Sons
ISBN: 1119642191
Category : Mathematics
Languages : en
Pages : 497
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Book Description
Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing readers to incorporate the presented techniques into their own work as they follow along. A core tenant of machine learning is a strong focus on data preparation, and a full exploration of the various types of learning algorithms illustrates how the proper tools can help any developer extract information and insights from existing data. The book includes a full complement of Instructor's Materials to facilitate use in the classroom, making this resource useful for students and as a professional reference. At its core, machine learning is a mathematical, algorithm-based technology that forms the basis of historical data mining and modern big data science. Scientific analysis of big data requires a working knowledge of machine learning, which forms predictions based on known properties learned from training data. Machine Learning is an accessible, comprehensive guide for the non-mathematician, providing clear guidance that allows readers to: Learn the languages of machine learning including Hadoop, Mahout, and Weka Understand decision trees, Bayesian networks, and artificial neural networks Implement Association Rule, Real Time, and Batch learning Develop a strategic plan for safe, effective, and efficient machine learning By learning to construct a system that can learn from data, readers can increase their utility across industries. Machine learning sits at the core of deep dive data analysis and visualization, which is increasingly in demand as companies discover the goldmine hiding in their existing data. For the tech professional involved in data science, Machine Learning: Hands-On for Developers and Technical Professionals provides the skills and techniques required to dig deeper.
Author: Brad Boehmke
Publisher: CRC Press
ISBN: 1000730433
Category : Business & Economics
Languages : en
Pages : 373
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Book Description
Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering, resampling, deep learning and more. · Uses a hands-on approach and real world data.
Author: Jennifer E. Lawson
Publisher: Portage & Main Press
ISBN: 1553791967
Category : English language
Languages : en
Pages : 361
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Book Description
The Hands-On English Language Learning program is a resource for classroom teachers, specialist teachers working with English-language learners, and other educational professionals who support these students. To assist your students in developing language skills, this resource includes: specific curricular connections for each lesson to identify links to subject-area themes in language arts, mathematics, science, social studies, health, physical education, and the arts integrated class activities to promote learning in context for all students in the classroom suggested activities focus on curricular topics in all subject areas, while supporting English language learners relevant topics such as the classroom and school, clothing, food, hobbies and interests, plants and animals of Canada, the world, and the environment age-appropriate, high-interest learning activities that foster the development of essential English language vocabulary and skills in listening, speaking, reading, writing, viewing, and representing activities (in keeping with the philosophy of all Portage & Main Press Hands-On programs) that are student-centred and focus on real-life, hands-on experiences Please note: All blackline masters are included on a CD.
Author: Tim Wright
Publisher: Addison-Wesley
ISBN: 0133016277
Category : Computers
Languages : en
Pages : 883
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Book Description
Get Started Fast with Modern JavaScript Web Development! With the arrival of HTML5, jQuery, and Ajax, JavaScript web development skills are more valuable than ever! This complete, hands-on JavaScript tutorial covers everything you need to know now. Using line-by-line code walkthroughs and end-of-chapter exercises, top web developer and speaker Tim Wright will help you get results fast, even if you’ve never written a line of JavaScript before. Smart, friendly, enthusiastic, and packed with modern examples, Learning JavaScript covers both design-level and development-level JavaScript. You’ll find expert knowledge and best practices for everything from jQuery and interface design to code organization and front-end templating. Wright’s focused coverage includes regular break points and clear reviews that make modern JavaScript easier to learn—and easier to use! Learning JavaScript is your fastest route to success with JavaScript—whether you’re entirely new to the language or you need to sharpen and upgrade skills you first learned a decade ago! Coverage includes • Mastering all of the JavaScript concepts and terminology you need to write new programs or efficiently modify existing code • Creating robust, secure code for both the design and development levels • Maximizing usability, reusability, accessibility, clarity, security, and performance • Taking full advantage of the browser environments your code will run in • Accessing the DOM to create behaviors and data interactions • Storing data for easy and efficient access • Using variables, functions, loops, and other core language features • Interacting with users through events • Communicating with servers through Ajax • Improving your productivity with JavaScript libraries
Author: Daniel Solis
Publisher: Apress
ISBN: 1484232887
Category : Computers
Languages : en
Pages : 817
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Book Description
Get to work quickly with C# with a uniquely succinct and visual format used to present the C# 7.0 language. Whether you’re getting to grips with C# for the first time or working to deepen your understanding, you’ll find this book to be a clear and refreshing take on each aspect of the language. Figures are of prime importance in this book. While teaching programming seminars, Daniel Solis found that he could almost watch the light bulbs going on over the students’ heads as he drew the figures on the whiteboard. In this text, he has distilled each important concept into simple but accurate illustrations. For this latest edition, Dan is joined by fellow experienced teacher and programmer, Cal Schrotenboer, to bring you the very latest C# language features, along with an understanding of the frameworks it most often lives in: .NET and the new .NET Core. For something as intricate and precise as a programming language, there must be text as well as figures. But rather than long, wordy explanations, the authors use short, concise descriptions and bullet lists to make each important piece of information visually distinct and memorable. What You’ll Learn Start with an overview of C# programming and how the language works under the hood Put things in context with a little useful history of C# and .NET Know how .NET Core fits into the picture Understand how C# handles types Benefit from clear, concise explanations of each language feature, from classes and inheritance to enumerators and iterators, and the new C# 7.0 tuples Quickly access material via this book's visual introduction to asynchronous programming with C# Who This Book Is For Novice to intermediate C# programmers, and more experienced programmers moving to C# from other languages
