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“gwendolyn stripling”

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  • Low-Code AI

    A Practical Project-Driven Introduction to Machine Learning

    de Gwendolyn Stripling, Michael Abel ...
    Take a data-first and use-case–driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.Business and data ... Leer más

    $48.99 USD

    Disponible también en: Audiolibro

    Disponible también en: Audiolibro

  • Audiolibro

    Low-Code AI

    A Practical Project-Driven Introduction to Machine Learning

    de Gwendolyn Stripling, Michael Abel ...
    Narrado por Stephanie Dillard ...

    Completo

    8 hora 28 minutos

    Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.Business and data ... Leer más

    $20.99 USD o gratis con Kobo Plus

    Disponible también en: eBook

    Disponible también en: eBook

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  • Machine Learning Design Patterns

    de 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 ... Leer más

    $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.

    de 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 ... Leer más

    $35.99 USD o gratis con Kobo Plus

  • Machine Learning with R

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

    de 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 ... Leer más

    $41.99 USD o gratis con Kobo Plus

  • Data Science and Big Data Analytics

    Discovering, Analyzing, Visualizing and Presenting Data

    Edición de 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 ... Leer más

    $53.00 USD

  • Data Science for Business Professionals

    A Practical Guide for Beginners (English Edition)

    de Probyto Data Science and Consulting Pvt Ltd ...
    The book will initially explain the What-Why of Data Science and the process of solving a Data Science problem. The fundamental concepts of Data Science, such as Statistics, Machine Learning, Business Intelligence, Data pipeline, and Cloud Computing, will also be discussed. All the topics will be explained with an example problem and will show how the industry approaches to solve such a problem. ... Leer más

    $14.99 USD o gratis con Kobo Plus

  • The Kaggle Book

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

    de 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 ... Leer más

    $43.99 USD o gratis con Kobo Plus

  • Machine Learning with R

    Expert techniques for predictive modeling

    de 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 ... Leer más

    $75.99 USD o gratis con Kobo Plus

  • Python: Advanced Predictive Analytics

    Gain practical insights by exploiting data in your business to build advanced predictive modeling applications

    de Ashish Kumar, Joseph Babcock ...
    Gain practical insights by exploiting data in your business to build advanced predictive modeling applicationsKey FeaturesA step-by-step guide to predictive modeling including lots of tips, tricks, and best practicesLearn how to use popular predictive modeling algorithms such as Linear Regression, Decision Trees, Logistic Regression, and ClusteringMaster open source Python tools to build ... Leer más

    $71.99 USD o gratis con Kobo Plus

  • Statistics for Data Science

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

    de 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 ... Leer más

    $34.99 USD o gratis con Kobo Plus

  • Python Machine Learning By Example

    The easiest way to get into machine learning

    de Yuxi (Hayden) Liu, Ivan Idris ...
    Take tiny steps to enter the big world of data science through this interesting guideKey Features\[\*\] Learn the fundamentals of machine learning and build your own intelligent applications\[\*\] Master the art of building your own machine learning systems with this example-based practical guide\[\*\] Work with important classification and regression algorithms and other machine learning ... Leer más

    $41.99 USD o gratis con Kobo Plus