Statistics for Machine Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Statistics for Machine Learning

簡體網頁||繁體網頁
Pratap Dangeti 作者
Packt Publishing
譯者
2017-7-21 出版日期
311 頁數
GBP 41.99 價格
Paperback
叢書系列
9781788295758 圖書編碼

Statistics for Machine Learning 在線電子書 圖書標籤: 計算機  程序設計  美國  參考資料  人工智能  Python  Packt  Algorithm   


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Statistics for Machine Learning 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Statistics for Machine Learning 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Statistics for Machine Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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Statistics for Machine Learning 在線電子書 著者簡介

About the Author

Pratap Dangeti develops machine learning & deep learning solutions for structured, images & text data at leading software industry in Bangalore. He got rich experience in both analytics & data science .He received his Master's degree from IIT Bombay in Industrial Engineering & Operations Research Program. He is Artificial Intelligence enthusiast, in leisure times he likes to read next gen technologies & innovative methodologies to help humanity with day to day life.

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Statistics for Machine Learning 在線電子書 著者簡介


Statistics for Machine Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Statistics for Machine Learning 在線電子書 圖書描述

Key Features

Learn about the statistics behind powerful predictive models with p-value, ANOVA, 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 in R & Python.

Book Description

Complex statistics in machine learning worries a lot of developers. Knowing statistics helps in building strong machine learning models that are optimized for a given problem statement. This book will teach you all it takes to perform complex statistical computations required for machine learning. You will gain information on statistics behind supervised learning, unsupervised learning, reinforcement learning, and more. You will see real-world examples that discuss the statistical side of machine learning and make you comfortable with it. You will come across programs for performing tasks such as model, parameters fitting, regression, classification, density collection, working with vectors, matrices, and more.By the end of the book, you will understand concepts of required statistics for Machine Learning and will be able to apply your new skills to any sort of industry problems.

What you will learn

Understanding Statistical & Machine learning fundamentals necessary to build modelsUnderstanding major differences & parallels between statistics way of solving problem & machine learning way of solving problemKnow how to prepare data and "feed" the models by using the appropriate machine learning algorithms from the adequate R & Python packagesAnalyze the results and tune the model appropriately to his or her own predictive goalsUnderstand concepts of required statistics for Machine LearningDraw parallels between statistics and machine learningUnderstand each component of machine learning models and see impact of changing them

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