My 5 favourite Coursera Courses for Python, Data Science and Machine Learning
Best Machine Learning Course on April 2024 Shopping Deals at Bestonio.com
★★BONUS★★: Buy a paperback copy of this book today and the Kindle version will be available to you Absolutely FREE (Only For Amazon US Customers).If You Want To Learn Python Programming In As Little As 5 Days - Even If You Have No Technical Skills Whatsoever, Read On...How many times have you thought about learning how to code but go... [Read More]
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 Sp... [Read More]
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to pre... [Read More]
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning... [Read More]
Second edition of the best selling Python book in the world. A fast-paced, no-nonsense guide to programming in Python. This book teaches beginners the basics of programming in Python with a focus on real projects.This is the second edition of the best selling Python book in the world. Python Crash Course, 2nd Edition is a straightforward introducti... [Read More]
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 a... [Read More]
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 profile?Well, hold on there...Before you embark on your epic journey into the world of machine learning, there is some theory and statistical prin... [Read More]
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 modelin... [Read More]
As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum ... [Read More]
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 ... [Read More]
Alfred's Basic Adult All-in-One Course is designed for use with a piano instructor for the beginning student looking for a truly complete piano course. It is a greatly expanded version of Alfred's Basic Adult Piano Course that will include lesson, theory, and technique in a convenient, "all-in-one" format. This comprehensive course adds such featur... [Read More]
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.Most tasks require a person or an automated system to reason―to reach conclusions based on available information. The framework of probabilistic graphical models, presented in this b... [Read More]
R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required - this book will take you methodically through every stage of applying machine learning. Overview Harness the power of R for statistical computing and data science Use R to apply common machine learning algorithms with rea... [Read More]
Best Starter Pack Illustrated Guide For Beginners & Intermediates : The Future Is Here! 2 Manuscripts in 1 BookPython Programming & Machine Learning With Python: 2 Manuscripts in 1 BookBest Starter Pack Illustrated Guide For Beginners & Intermediates : The Future Is Here!If your new to computer programming or want to brush up this ultimate guide th... [Read More]
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 exercise... [Read More]
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... [Read More]
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, ... [Read More]
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsAbout This BookLeverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and a... [Read More]
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... [Read More]
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