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Showing 1 - 12 of 12 results for “mark fenner”
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  • Machine Learning with Python for Everyone

    by Mark Fenner ...
    Series series Addison-Wesley Data & Analytics Series
    The Complete Beginner’s Guide to Understanding and Building Machine Learning Systems with PythonMachine Learning with Python for Everyone will help you master the processes, patterns, and strategies you need to build effective learning systems, even if you’re an absolute beginner. If you can write some Python code, this book is for you, no matter how little college-level math you know. Principal ... Read more

    $34.59 USD

  • Leadership Failures

    Precautionary Tales and Prevention Strategies

    by Peter Fenner, Kate Fenner, Mark Reifsteck ...
    Humans make mistakes. Many of us lose career ascendency or risk destroying our institutions by doubling down on or ignoring outcomes of our own poor decisions.Good leaders learn and teach from their errors. Professions are strengthened. Institutions thrive. Careers grow.Through real-life stories that focus on senior/board leadership from multiple walks of life, and brief discussions of significant ... Read more

    $40.99 USD

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  • Introduction to Machine Learning with Python

    A Guide for Data Scientists

    by Andreas C. Müller, Sarah Guido ...
    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 ... Read more

    $36.79 USD

  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

    by Aurélien Géron ...
    Through a recent series of 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 bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) ... Read more

    $55.49 USD

  • Python Machine Learning

    Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial

    by Sebastian Raschka ...
    Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage 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 answer – tough questions of your data with robust ... Read more

    $37.79 USD or Free with Kobo Plus

  • Statistical Analysis with R For Dummies

    by Joseph Schmuller ...
    Simplify stats and learn how to graph, analyze, and interpret data the easy wayStatistical Analysis with R For Dummies makes stats approachable by combining clear explanations with practical applications. You'll learn how to download and use R and RStudio—two free, open-source tools—to learn statistics concepts, create graphs, test hypotheses, and draw meaningful conclusions. Get started by ... Read more

    $18.00 USD

  • Deep Learning

    A Visual Approach

    by Andrew Glassner ...
    A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math.Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs and generating news articles to helping doctors ... Read more

    $59.99 USD

  • Deep Learning

    A Practitioner's Approach

    by Josh Patterson, Adam Gibson ...
    Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far. How can machine learning—especially deep neural networks—make a real difference in your organization? This hands-on guide not only provides the most practical information available on the subject, but also helps you get started building efficient deep learning ... Read more

    $36.79 USD

  • Building Machine Learning Systems with Python

    by Willi Richert, Luis Pedro Coelho ...
    This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies instead of showing how to write your own implementations of algorithms. This book is a scenario-based, example-driven tutorial. By the end of the book you will have learnt critical aspects of Machine Learning Python projects and ... Read more

    $27.89 USD or Free with Kobo Plus

  • The Book of R, 2nd Edition

    A First Course in Programming and Statistics

    by Tilman M. Davies ...
    This long-awaited second edition folds years of updates into its beginner-friendly lessons on using R for data and statistical analysis.The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything ... Read more

    $54.99 USD

  • Machine Learning with R

    Expert techniques for predictive modeling to solve all your data analysis problems

    by Brett Lantz ...
    Key FeaturesBook DescriptionUpdated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with ... Read more

    $41.39 USD or Free with Kobo Plus

  • Feature Engineering for Machine Learning

    Principles and Techniques for Data Scientists

    by Alice Zheng, Amanda Casari ...
    Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, ... Read more

    $36.79 USD