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“mark fetherolf”

Showing 1 - 12 of 12 results for “mark fetherolf”
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  • Real-World Machine Learning

    by Henrik Brink, Joseph Richards, Mark Fetherolf ...
    SummaryReal-World Machine Learning is a practical guide designed to teach working developers the art of ML project execution. Without overdosing you on academic theory and complex mathematics, it introduces the day-to-day practice of machine learning, preparing you to successfully build and deploy powerful ML systems.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats ... Read more

    $49.99 USD

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  • Designing Machine Learning Systems

    An Iterative Process for Production-Ready Applications

    by Chip Huyen ...
    Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments ... Read more

    $41.99 USD

    Also available as: Audiobook

    Also available as: Audiobook

  • Machine Learning for Algorithmic Trading

    Predictive models to extract signals from market and alternative data for systematic trading strategies with Python

    by Stefan Jansen ...
    Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format.Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading ... Read more

    $41.99 USD or Free with Kobo Plus

  • Machine Learning Design Patterns

    by Valliappa Lakshmanan, Sara Robinson, Michael Munn ...
    The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.In this book, you will find detailed ... Read more

    $41.99 USD

  • Machine Learning with R

    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.

    by Brett Lantz ...
    Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science ... Read more

    $35.99 USD or Free with Kobo Plus

  • Machine Learning For Beginners Guide Algorithms: Supervised & Unsupervsied Learning. Decision Tree & Random Forest Introduction

    by Tristan Luminous ...
    200+ pages of valuable content!Machines can LEARN?!?!Machine learning occurs primarily through the use of " algorithms" and other elaborate procedures.Whether you're a novice, intermediate or expert this book will teach you all the ins, outs and everything you need to know about machine learning.Note: Bonus chapters included inside!Instead of spending hundreds or even thousands of dollars on ... Read more

    $2.99 USD or Free with Kobo Plus

  • 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

    $41.99 USD or Free with Kobo Plus

  • Data Science and Big Data Analytics

    Discovering, Analyzing, Visualizing and Presenting Data

    Edited by EMC Education Services ...
    Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any industry and technology environment, and the learning is supported and explained with examples that you can replicate ... Read more

    $53.00 USD

  • Machine Learning and Security

    Protecting Systems with Data and Algorithms

    by Clarence Chio, David Freeman ...
    Can machine learning techniques solve our computer security problems and finally put an end to the cat-and-mouse game between attackers and defenders? Or is this hope merely hype? Now you can dive into the science and answer this question for yourself. With this practical guide, you’ll explore ways to apply machine learning to security issues such as intrusion detection, malware classification, ... Read more

    $41.99 USD

  • Machine Learning with R

    Expert techniques for predictive modeling

    by Brett Lantz ...
    Solve real-world data problems with R and machine learningKey FeaturesThird edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyondHarness the power of R to build flexible, effective, and transparent machine learning modelsLearn quickly with a clear, hands-on guide by experienced machine learning teacher and practitioner, Brett LantzBook ... Read more

    $75.99 USD or Free with Kobo Plus

  • Introduction to Data Science

    A Python Approach to Concepts, Techniques and Applications

    by Petia Radeva, Oriol Pujol, Jordi Vitrià, Sergio Escalera, Santi Seguí, Francesc Dantí, Laura Igual, Lluís Garrido, Eloi Puertas ...
    Series series Computer Science (R0)
    This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the emerging and interdisciplinary field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and parallel programming, and the practical application of data science for such tasks as building recommender systems or ... Read more

    $44.99 USD

  • Statistics for Data Science

    Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks

    by James D. Miller, James C. Mott, Rajprasath Subramanian, Shaikh Salamatullah, Vijayakumar Ramdoss ...
    Get your statistics basics right before diving into the world of data science Key FeaturesNo need to take a degree in statistics, read this book and get a strong statistics base for data science and real-world programs;Implement statistics in data science tasks such as data cleaning, mining, and analysisLearn all about probability, statistics, numerical computations, and more with the help of R ... Read more

    $34.99 USD or Free with Kobo Plus