[Télécharger] Machine Learning With Python Cookbook: Practical Solutions from Preprocessing to Deep Learning de Chris Albon Livres Pdf Epub
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Télécharger "Machine Learning With Python Cookbook: Practical Solutions from Preprocessing to Deep Learning" de Chris Albon Livre eBook France
Auteur : Chris Albon
Catégorie : Livres anglais et étrangers,Computers & Internet,Computer Science
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Langue : Français, Anglais
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you're comfortable with Python and its libraries, including pandas and scikit-learn, you'll be able to address specific problems such as loading data, handling text or numerical data, model selection, and dimensionality reduction and many other topics.Each recipe includes code that you can copy and paste into a toy dataset to ensure that it actually works. From there, you can insert, combine, or adapt the code to help construct your application. Recipes also include a discussion that explains the solution and provides meaningful context. This cookbook takes you beyond theory and concepts by providing the nuts and bolts you need to construct working machine learning applications.You'll find recipes for: Vectors, matrices, and arraysHandling numerical and categorical data, text, images, and dates and timesDimensionality reduction using feature extraction or feature selectionModel evaluation and selectionLinear and logical regression, trees and forests, and k-nearest neighborsSupport vector machines (SVM), naïve Bayes, clustering, and neural networksSaving and loading trained models
Télécharger Machine Learning With Python Cookbook: Practical Solutions from Preprocessing to Deep Learning de Chris Albon PDF Ebook En Ligne
GitHub - DustinAlandzes/machine-learning-with-python ~ About (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
Machine Learning with Python Cookbook Practical Solutions ~ Practical Solutions from Preprocessing to Deep Learning, Machine Learning with Python Cookbook, Chris Albon, O'reilly media. Des milliers de livres avec la livraison chez vous en 1 jour ou en magasin avec -5% de réduction .
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Introduction to Machine Learning with Python [Book] ~ 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 .
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INTRODUCTION MACHINE LEARNING ~ do not treat many matters that would be of practical importance in applications; the book is not a handbook of machine learning practice. Instead, my goal is to give the reader su cient preparation to make the extensive literature on machine learning accessible. Students in my Stanford courses on machine learning have already made several useful suggestions, as have my colleague, Pat Langley .
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Chris Albon : tous les produits / fnac ~ Machine Learning with Python Cookbook Practical Solutions from Preprocessing to Deep Learning - ebook (ePub) Chris Albon (Auteur) This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work.
Machine Learning with Python / Coursera ~ Offered by IBM. This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs .
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Feature Engineering / Python Data Science Handbook ~ When applying a typical machine learning model to such data, we will need to first replace such missing data with some appropriate fill value. This is known as imputation of missing values, and strategies range from simple (e.g., replacing missing values with the mean of the column) to sophisticated (e.g., using matrix completion or a robust model to handle such data).
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Introduction to Statistical Learning ~ The authors give precise, practical explanations of what methods are available, and when to use them, including explicit R code. Anyone who wants to intelligently analyze complex data should own this book. Larry Wasserman, Professor, Department of Statistics and Department of Machine Learning, CMU. As a textbook for an introduction to data science through machine learning, there is much to .
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TensorFlow ~ TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. About . Easy model building Build and train ML models easily using intuitive high-level APIs like Keras with eager .
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Auteurs similaires à suivre - Amazon ~ Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning (English Edition) 9 mars 2018. par Chris Albon Format Kindle. 19,99 € 55,86 € Broché .
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