Best Introduction To Machine Learning - April 2024

Introduction to Machine Learning with Python: A Guide for Data Scientists

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your imagination.You’ll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Müller and Sarah Guido focus on the practical... [Read More]

• ASIN: 1449369413
• ASIN: 1449369413
• ISBN: 1449369413
• Manufacturer: O'Reilly Media

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-worl... [Read More]

• ASIN: 1461471370
• ASIN: 1461471370
• ISBN: 1461471370
• Brand: Springer
• Manufacturer: Springer

Machine Learning For Absolute Beginners: A Plain English Introduction (Second Edition) (Machine Learning For Beginners Book 1)

Featured by Tableau as the first of "7 Books About Machine Learning for Beginners." Ready to spin up a virtual GPU instance and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn profile?Well, hold on there...Before you embark on your epic journey into the world of machine learning, there is some high-level theory and statistical principles to march through first. But rather than spend $30-$50 USD on a dense long textbook, you may want to read this book first. As a clear and concise alternative to a textbook, this book provides a practical and high-level introduct... [Read More]

• ASIN: B07335JNW1
• ASIN: B07335JNW1
• Manufacturer: Scatterplot Press

Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

Graphics in this book are printed in black and white.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’l... [Read More]

• ASIN: 1491962291
• ASIN: 1491962291
• ISBN: 1491962291
• Brand: O'Reilly Media
• Manufacturer: O'Reilly Media

An Introduction to Machine Learning

This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting,” how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated t... [Read More]

• ASIN: 3319639129
• ASIN: 3319639129
• ISBN: 9783319639123
• Manufacturer: Springer

Machine Learning with Python: A Step-By-Step Guide to Learn and Master Python Machine Learning

Are you stuck in getting started with machine learning with python? A Step-By-Step Guide to Learn and Master Python Machine Learning walks you through steps for getting started with Machine Learning with Python. Python is a popular and open-source programming language. In addition, it is one of the most applied languages in artificial intelligence and other scientific fields. On the other hand, machine learning is a branch of AI that applied algorithms to learn from data and create predictions. Machine learning is important in predicting the world around us.All the way from self-driving cars t... [Read More]

• ASIN: B07KVLCH6N
• ASIN: B07KVLCH6N

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting-... [Read More]

• ASIN: 0387848576
• ASIN: 0387848576
• ISBN: 0387848576
• Brand: Springer
• Manufacturer: Springer

Python Crash Course: A Hands-On, Project-Based Introduction to Programming

Python Crash Course is a fast-paced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time.In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing clean and readable code with exercises for each topic. You’ll also learn how to make your programs interactive and how to test your code safely before adding it to a project. In the second half of the book, you’ll put your new knowledge into practice with three substantial projects:... [Read More]

• ASIN: 1593276036
• ASIN: 1593276036
• ISBN: 1593276036
• Brand: No Starch Press
• Manufacturer: No Starch Press

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (The MIT Press)

A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, co... [Read More]

• ASIN: 0262029448
• UPC: 783324881585
• ASIN: 0262029448
• ISBN: 0262029448
• Brand: The MIT Press
• Manufacturer: The MIT Press

Understanding Machine Learning: From Theory to Algorithms

Machine learning is one of the fastest growing areas of computer science, with far-reaching applications. The aim of this textbook is to introduce machine learning, and the algorithmic paradigms it offers, in a principled way. The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these principles into practical algorithms. Following a presentation of the basics of the field, the book covers a wide array of central topics that have not been addressed by previous textbooks. These include a discussio... [Read More]

• ASIN: 1107057132
• ASIN: 1107057132
• ISBN: 1107057132
• Manufacturer: Cambridge University Press

Deep Learning (Adaptive Computation and Machine Learning series)

An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.“Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.”―Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceXDeep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human compute... [Read More]

• ASIN: 0262035618
• ASIN: 0262035618
• ISBN: 0262035618
• Brand: The MIT Press
• Manufacturer: The MIT Press

Introduction to Data Mining

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

• ASIN: 0321321367
• ASIN: 0321321367
• ISBN: 0321321367
• Brand: Tan, Pang-Ning/ Steinbach, Michael/ Kumar, Vipin
• Manufacturer: Pearson

Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition

Key FeaturesSecond edition of the bestselling book on Machine LearningA practical approach to key frameworks in data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningGet to know the best practices to improve and optimize your machine learning systems and algorithmsBook DescriptionMachine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Rasc... [Read More]

• ASIN: 1787125939
• ASIN: 1787125939
• ISBN: 9781787125933
• Manufacturer: Packt Publishing

An Introduction to Computational Learning Theory (The MIT Press)

Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics.Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expand... [Read More]

• ASIN: 0262111934
• ASIN: 0262111934
• ISBN: 0262111934
• Manufacturer: The MIT Press

Effective Java

The Definitive Guide to Java Platform Best Practices–Updated for Java 7, 8, and 9   Java has changed dramatically since the previous edition of Effective Java was published shortly after the release of Java 6. This Jolt award-winning classic has now been thoroughly updated to take full advantage of the latest language and library features. The support in modern Java for multiple paradigms increases the need for specific best-practices advice, and this book delivers.   As in previous editions, each chapter of Effective Java, Third Edition, consists of several “items,” each presented... [Read More]

• ASIN: 0134685997
• ASIN: 0134685997
• ISBN: 0134685997
• Brand: Addison-Wesley Professional
• Manufacturer: Addison-Wesley Professional

Machine Learning : A Hands-On, Project-Based Introduction to Machine Learning for Absolute Beginners: Mastering Engineering ML Systems Using Scikit-Learn and Tensorflow

Can Machines Really Learn? Machine learning (ML) is a type of artificial intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning has become an essential pillar of IT

• UPC: 689922500

An Introduction to Statistical Learning : With Applications in R

This book presents key modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, and

• UPC: 23563922
• Rating: 5.0

Professional Learning Communities at Worktm : Best Practices for Enhancing Students Achievement

The book that launched a school improvement movement offers research-based recommendations drawn from the best practices found in schools nationwide for continuously improving school performance. Coming from the perspectives of both a distinguished dean of

• UPC: 25219726

Introduction to Machine Learning with Python : A Guide for Data Scientists

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner,

• UPC: 44452377

Learn Python 3 the Hard Way : A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code

Readers will learn Python by working through 52 brilliantly crafted exercises. Read them. Type their code precisely. (No copying and pasting!) Fix the mistakes. Watch the programs run. Includes 5+ hours of video where Shaw

• UPC: 55680508

Visible Learning for Literacy, Grades K-12 : Implementing the Practices That Work Best to Accelerate Student Learning

Ensure students demonstrate more than a year's worth of learning during a school year Renowned literacy experts Douglas Fisher and Nancy Frey work with John Hattie to apply his 15 years of research, identifying instructional

• UPC: 49365921
• Model: 9781506332352

Machine Learning for Absolute Beginners : A Plain English Introduction

Featured by Tableau as the first of "7 Books About Machine Learning for Beginners" Ready to crank up a virtual server and smash through petabytes of data? Want to add 'Machine Learning' to your LinkedIn

• UPC: 956733551
• Rating: 3.0

Visible Learning for Mathematics, Grades K-12 : What Works Best to Optimize Student Learning

Rich tasks, collaborative work, number talks, problem-based learning, direct instruction...with so many possible approaches, how do we know which ones work the best? In Visible Learning for Mathematics, six acclaimed educators assert it's not about

• UPC: 54294402
• Model: 9781506362946

The Everything Guide To Homeschooling : All You Need to Create the Best Curriculum and Learning Environment for Your Child

An accessible guide for fun and stress-free homeschooling! When you homeschool your children, you can shape their education according to your own standards, values, and ideas. In The Everything Guide to Homeschooling, homeschooler Sherri Linsenbach

• UPC: 45760907

Reinforcement Learning : An Introduction

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial

• UPC: 874303326

VITAL INTRODUCTION TO MACHINE LEARNING WITH PYTHON: BEST By Jon Stinkster *NEW*

• UPC: 184168765387
• Category: School Textbooks & Study Guides
• Price: 33 USD