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Top Series in United States

Showing 1 - 12 of 12 results for “muhammad imdad ullah
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  • Practicing R for Statistical Computing

    Series series Mathematics and Statistics (R0)
    This book is designed to provide a comprehensive introduction to R programming for data analysis, manipulation and presentation. It covers fundamental data structures such as vectors, matrices, arrays and lists, along with techniques for exploratory data analysis, data transformation and manipulation. The book explains basic statistical concepts and demonstrates their implementation using R, ... Read more

    $71.99 USD

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  • Introduction to Machine Learning with Python

    A Guide for Data Scientists

    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

    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

  • Learning OpenCV

    Computer Vision with the OpenCV Library

    "This library is useful for practitioners, and is an excellent tool for those entering the field: it is a set of computer vision algorithms that work as advertised."-William T. Freeman, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of TechnologyLearning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the ... Read more

    $28.79 USD

  • Python Machine Learning

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

    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

  • Python Machine Learning, Second Edition

    Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow

    Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.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 ... Read more

    $34.19 USD or Free with Kobo Plus

  • Mathematica Cookbook

    Building Blocks for Science, Engineering, Finance, Music, and More

    by Sal Mangano ...
    Mathematica Cookbook helps you master the application's core principles by walking you through real-world problems. Ideal for browsing, this book includes recipes for working with numerics, data structures, algebraic equations, calculus, and statistics. You'll also venture into exotic territory with recipes for data visualization using 2D and 3D graphic tools, image processing, and music.Although ... Read more

    $37.49 USD

  • R in a Nutshell

    A Desktop Quick Reference

    by Joseph Adler ...
    If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from ... Read more

    $36.79 USD

  • The Book of R, 2nd Edition

    A First Course in Programming and Statistics

    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 PyTorch and Scikit-Learn

    Develop machine learning and deep learning models with Python

    This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesLearn applied machine learning with a solid foundation in theoryClear, intuitive explanations take you deep into the theory and practice ... Read more

    $39.99 USD or Free with Kobo Plus

  • Machine Learning Algorithms

    A reference guide to popular algorithms for data science and machine learning

    Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guideKey Features\[\*\] Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.\[\*\] Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their ... Read more

    $41.39 USD or Free with Kobo Plus

  • Statistics for Machine Learning

    Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R

    Build Machine Learning models with a sound statistical understanding.Key FeaturesLearn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics.Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering.Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and ... Read more

    $41.39 USD or Free with Kobo Plus