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« matthieu brucher »

1-12 sur 12 résultats pour « matthieu brucher »
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  • Building Machine Learning Systems with Python

    Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow

    par Luis Pedro Coelho, Willi Richert, Matthieu Brucher ...
    Build intelligent end-to-end machine learning systems with PythonKey FeaturesUse scikit-learn and TensorFlow to train your machine learning modelsImplement popular supervised and unsupervised machine learning algorithms in PythonDiscover best practices for building production-grade machine learning systems from scratchBook DescriptionMachine learning enables systems to make predictions based on ... En savoir plus

    $37.99 CAD ou Gratuit avec Kobo Plus

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  • Big Data Now: Current Perspectives from O'Reilly Radar

    par O'Reilly Radar Team ...
    This collection represents the full spectrum of data-related content we’ve published on O’Reilly Radar over the last year. Mike Loukides kicked things off in June 2010 with “What is data science?” and from there we’ve pursued the various threads and themes that naturally emerged. Now, roughly a year later, we can look back over all we’ve covered and identify a number of core data areas:Data issues ... En savoir plus

    Gratuit

  • What Is Data Science?

    par Mike Loukides ...
    We've all heard it: according to Hal Varian, statistics is the next sexy job. Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies and the unique skill sets.The web is full of "data ... En savoir plus

    Gratuit

  • Python Machine Learning

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

    par 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 ... En savoir plus

    $41.99 CAD ou Gratuit avec Kobo Plus

  • Learning TensorFlow

    A Guide to Building Deep Learning Systems

    par Tom Hope, Yehezkel S. Resheff, Itay Lieder ...
    Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive ... En savoir plus

    $54.99 CAD

  • Natural Language Annotation for Machine Learning

    A Guide to Corpus-Building for Applications

    par James Pustejovsky, Amber Stubbs ...
    Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle—the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don’t need any programming or linguistics experience to get started ... En savoir plus

    $29.99 CAD

  • Augmented Human

    How Technology Is Shaping the New Reality

    par Helen Papagiannis ...
    Augmented Reality (AR) blurs the boundary between the physical and digital worlds. In AR’s current exploration phase, innovators are beginning to create compelling and contextually rich applications that enhance a user’s everyday experiences. In this book, Dr. Helen Papagiannis—a world-leading expert in the field—introduces you to AR: how it’s evolving, where the opportunities are, and where it’s ... En savoir plus

    $35.99 CAD

  • 25 Recipes for Getting Started with R

    Excerpts from the R Cookbook

    par Paul Teetor ...
    R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression.You'll find recipes on reading data files, creating data frames, ... En savoir plus

    $13.99 CAD

  • Computational Intelligence And Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network And Support Vector Machine Techniques

    par Hung Tan Nguyen, Steve Sai Ho Ling, Hak-keung Lam ...
    This book focuses on computational intelligence techniques and their applications — fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers ... En savoir plus

    $57.99 CAD

  • Statistics for Machine Learning

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

    par Pratap Dangeti ...
    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 ... En savoir plus

    $47.99 CAD ou Gratuit avec Kobo Plus

  • Mastering Hadoop

    par Sandeep Karanth ...
    Do you want to broaden your Hadoop skill set and take your knowledge to the next level? Do you wish to enhance your knowledge of Hadoop to solve challenging data processing problems? Are your Hadoop jobs, Pig scripts, or Hive queries not working as fast as you intend? Are you looking to understand the benefits of upgrading Hadoop? If the answer is yes to any of these, this book is for you. It ... En savoir plus

    $34.99 CAD ou Gratuit avec Kobo Plus

  • TensorFlow for Deep Learning

    From Linear Regression to Reinforcement Learning

    par Bharath Ramsundar, Reza Bosagh Zadeh ...
    Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the ... En savoir plus

    $63.99 CAD