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“daniel s becker”

Showing 1 - 12 of 12 results for “daniel s becker”
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  • Automated Machine Learning for Business

    by Kai R. Larsen, Daniel S. Becker ...
    Teaches the machine learning process for business students and professionals using automated machine learning, a new development in data science that requires only a few weeks to learn instead of years of training Though the concept of computers learning to solve a problem may still conjure thoughts of futuristic artificial intelligence, the reality is that machine learning algorithms now exist ... Read more

    $29.69 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

    $41.09 USD

    Also available as: Audiobook

    Also available as: Audiobook

  • 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

    $35.09 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

    $41.39 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

  • Bad Data Handbook

    Cleaning Up The Data So You Can Get Back To Work

    by Q. Ethan McCallum ...
    What is bad data? Some people consider it a technical phenomenon, like missing values or malformed records, but bad data includes a lot more. In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they’ve recovered from nasty data problems.From cranky storage to poor representation to misguided policy, there are many paths to ... Read more

    $23.09 USD

  • The Kaggle Book

    Master data science competitions with machine learning, GenAI, and LLMs

    by Luca Massaron, Bojan Tunguz, Konrad Banachewicz ...
    Stay one step ahead of your competitors with proven tips, strategies, and insights from over 30 Kaggle Masters and Grandmasters and become a better data scientist. This new edition features updated content and new chapters on Kaggle Models, time series, and Generative AI competitions. Key FeaturesLearn how Kaggle works to make the most of every competition with winning strategies from 30+ expert ... Read more

    $43.19 USD or Free with Kobo Plus

  • 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

    $75.59 USD or Free with Kobo Plus

  • 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

    $34.19 USD or Free with Kobo Plus

  • Marketing Data Science

    Modeling Techniques in Predictive Analytics with R and Python

    by Thomas Miller ...
    Series series FT Press Analytics
    Now***,*** a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications.Building on Miller's pioneering ... Read more

    $69.29 USD