Read Python Machine Learning

Python Machine Learning

Wei-Meng Lee

4.9/5 (24077 ratings)

Description:This book covers machine learning, one of the hottest topics in more recent years. With computing power increasing exponentially and costs decreasing at the same time, there is no better time for machine learning. Machine learning tasks that usually require huge processing power are now possible on desktop machines. However, machine learning is not for the faint of heart - it requires a good foundation in statistics, as well as programming knowledge. This code-intensive book encourages readers to try out various examples of both topics which are designed to be compact, yet easy to follow and understand. Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science. For each learning algorithm, readers will use a real-life scenario to show how machine learning is useful to solving the problem at hand.This book will get readers started in Python Machine Learning by covering the following fundamental topics: Introduction to Machine Learning Machine Learning algrothimsRegression Classifications Clustering Anomaly Detection Deploying Machine Learning Models as Web Services Introduction to Python Data Science Python Libraries for data scienceNumpy Pandas Matplotib Getting Started with Scikit-learnWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Python Machine Learning. To get started finding Python Machine Learning, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Format: PDF, EPUB & Kindle Edition

Publisher: —

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ISBN: 1119545633

Description: This book covers machine learning, one of the hottest topics in more recent years. With computing power increasing exponentially and costs decreasing at the same time, there is no better time for machine learning. Machine learning tasks that usually require huge processing power are now possible on desktop machines. However, machine learning is not for the faint of heart - it requires a good foundation in statistics, as well as programming knowledge. This code-intensive book encourages readers to try out various examples of both topics which are designed to be compact, yet easy to follow and understand. Readers will get started by following fundamental topics such as an introduction to Machine Learning and Data Science. For each learning algorithm, readers will use a real-life scenario to show how machine learning is useful to solving the problem at hand.This book will get readers started in Python Machine Learning by covering the following fundamental topics: Introduction to Machine Learning Machine Learning algrothimsRegression Classifications Clustering Anomaly Detection Deploying Machine Learning Models as Web Services Introduction to Python Data Science Python Libraries for data scienceNumpy Pandas Matplotib Getting Started with Scikit-learnWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Python Machine Learning. To get started finding Python Machine Learning, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Python Machine Learning

Python Machine Learning

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