Practical Machine Learning with Python

A Problem-Solver's Guide to Building Real-World Intelligent Systems

Dipanjan Sarkar,Raghav Bali,Tushar Sharma

Professional and Applied Computing (R0)

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關於本書

語言：English
ISBN：9781484232071
發行日期：2017年12月22日
出版商：Apress

出版單位：Apress
檔案格式：EPUB2
檔案大小：7.67 MB
下載選項：EPUB2 (Adobe DRM)

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Practical Machine Learning with Python

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簡介

關於本書

書籍詳細資料

如何閱讀

系列書籍

Text Analytics with Python

Text Analytics with Python

延伸閱讀

Programming Collective Intelligence

Python Machine Learning

Deep Learning Fundamentals in Python

Machine Learning with R

Introduction to Machine Learning with Python

Building Machine Learning Systems with Python

Data Mining: Concepts and Techniques

Data Mining Techniques

Artificial Intelligence with Python

Deep Learning with Keras

Learning scikit-learn: Machine Learning in Python

Deep Learning

Practical Data Analysis

Introduction to Information Retrieval

Java Deep Learning Essentials

Data Science and Big Data Analytics

Python: Real-World Data Science

Python: Data Analytics and Visualization

Python Machine Learning, Second Edition

Statistics for Machine Learning

Predictive Analytics with Microsoft Azure Machine Learning

Mastering Python Data Visualization

Python Machine Learning By Example

Python: Deeper Insights into Machine Learning

Julia for Data Science

Text Data Management and Analysis

Python: Real World Machine Learning

Machine Learning for the Web

Mastering Text Mining with R

Fundamentals of Stream Processing

Thoughtful Machine Learning with Python

Big Data Analytics Made Easy

Java: Data Science Made Easy

Statistical Methods for Recommender Systems

Mastering Predictive Analytics with R

Effective Modern C++

Python Cookbook

Python: End-to-end Data Analysis

Practical Data Analysis Cookbook

Object-Oriented Analysis and Design for Information Systems

Data-Intensive Text Processing with MapReduce

Machine Learning: End-to-End guide for Java developers

Thoughtful Machine Learning

Java 8 Lambdas

Python: Advanced Predictive Analytics

Practical Machine Learning

Machine Learning for Developers

Lightweight Django

Deep Learning: Practical Neural Networks with Java

Production-Ready Microservices

Cython

Deep Learning with Hadoop

Machine Learning Algorithms

The Hitchhiker's Guide to Python

Information Retrieval Architecture and Algorithms

Learning Scala

R: Mining spatial, text, web, and social media data

Advanced Machine Learning with Python

Effective Computation in Physics

Fundamentals of Predictive Text Mining

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