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Hands On Machine Learning(中+英) 评分:
机器学习入门的好资料,英文原版和中文译著都在,有需要可以参考
上传时间:2018-11 大小:55.1MB
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Hands-on Machine Learning with Scikit-Learn, Keras, TensorFlow, 2nd Edition.pdf
2019-05-15【高清】这个版本只包含第一部分的前九章的内容,相比于第一版,增加了无监督学习等内容。
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Hands-on-Machine-Learning-with-Scikit-第二版完整先行版
2019-06-11Hands-on-Machine-Learning-with-Scikit-第二版完整先行版
- 50.25MB
hands-on-machine-learning
2017-05-04mhtml文件,请在chrome下观看,效果很好; 1分,诸位评论下就回来了
- 46.64MB
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 2ed 2019.epub
2019-09-20Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. * Explore the machine learning landscape, particularly neural nets * Use Scikit-Learn to track an example machine-learning project end-to-end * Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods * Use the TensorFlow library to build and train neural nets * Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning * Learn techniques for training and scaling deep neural nets
- 2.21MB
Hands On Machine Learning with Python: Concepts and Applications for Beginners
2018-08-12Hands On Machine Learning with Python by John Anderson English | 6 Aug. 2018 | ISBN: 1724731963 | 224 Pages | EPUB | 2.22 MB
- 56.46MB
hands on machine learning with scikit learn and tensorflow PDF及代码.zip
2019-05-27hands on machine learning with scikit learn and tensorflow PDF及随书代码
- 7.21MB
Hands-On Machine Learning with Scikit-Learn and TensorFlow 原版PDF
2018-02-01原版PDF Hands-On Machine Learning with Scikit-Learn and TensorFlow 不是早期预览版(EAP),而是正式版
- 42.59MB
Hands-On Machine Learning with Scikit-Learn and TensorFlow.zip
2020-07-29Hands-On Machine Learning with Scikit-Learn and TensorFlow.zip
- 32.72MB
Hands-On Machine Learning with Scikit-Learn and TensorFlow [PDF] [HTD 2017]
2018-07-18Hands-On Machine Learning with Scikit-Learn and TensorFlow [PDF] [HTD 2017]Hands-On Machine Learning with Scikit-Learn and TensorFlow [PDF] [HTD 2017]Hands-On Machine Learning with Scikit-Learn and ...
- 11.31MB
Hands-On Automated Machine Learning 无水印转化版pdf
2018-05-03Hands-On Automated Machine Learning 英文无水印转化版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
- 8.40MB
Hands-On Machine Learning with Scikit-Learn and TensorFlow [EPUB]
2017-03-27Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron English | 2017 | ISBN: 1491962291 | 566 Pages | EPUB | 8.41 MB Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—scikit-learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use scikit-learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets Apply practical code examples without acquiring excessive machine learning theory or algorithm details
- 15.28MB
Hands-On Data Science and Python Machine Learning 无水印原版pdf
2018-04-18Hands-On Data Science and Python Machine Learning 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
- 54.52MB
Hands-On Machine Learning with Scikit-Learn and TensorFlow(pdf 带标签+github代码)
2017-11-14Hands-On Machine Learning with Scikit-Learn and TensorFlow(pdf 带标签+github代码)
- 6.98MB
Hands-On Automated Machine Learning azw3
2018-05-03Hands-On Automated Machine Learning 英文azw3 本资源转载自网络,如有侵权,请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
- 6.69MB
Hands-On Automated Machine Learning mobi
2018-05-03Hands-On Automated Machine Learning 英文mobi 本资源转载自网络,如有侵权,请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
- 40.10MB
Hands-On Machine Learning with Scikit-Learn and TensorFlow
2018-12-17Hands-On Machine Learning with Scikit-Learn and TensorFlow
- 26.30MB
Hands On MachineLearning with ScikitLearn and TensorFlow
2018-01-12Hands On MachineLearning with ScikitLearn and TensorFlow
- 32.0MB
Hands-on-Machine-Learning-with-Scikit-2E.pdf
2019-06-25Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow 2nd edition
- 318KB
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2021-02-21Machine_Learning_Hands_On
- 8.8MB
HandsOnMachineLearning:HandsOnML工作簿
2021-03-26HandsOnMachineLearning:HandsOnML工作簿
- 69.55MB
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 2ed 2019.pdf
2019-10-07Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow 2ed 2019.pdf Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow SECOND EDITION Concepts, Tools, and Techniques to Build Intelligent Systems
- 18.20MB
Hands-On Reinforcement Learning - Sudharsan Ravichandiran.pdf
2019-05-13用python语言加tensorflow框架实现强化学习算法
- 7.20MB
Hands-On Data Science and Python Machine Learning
2017-08-15Hands-On Data Science and Python Machine Learning by Frank Kane English | 31 July 2017 | ISBN: 1787280748 | ASIN: B072QBVXGH | 420 Pages | AZW3 | 7.21 MB Key Features Take your first steps in the world of data science by understanding the tools and techniques of data analysis Train efficient Machine Learning models in Python using the supervised and unsupervised learning methods Learn how to use Apache Spark for processing Big Data efficiently Book Description Join Frank Kane, who worked on Amazon and IMDb's machine learning algorithms, as he guides you on your first steps into the world of data science. Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models. With the help of interesting and easy-to-follow practical examples, Frank Kane explains potentially complex topics such as Bayesian methods and K-means clustering in a way that anybody can understand them. Based on Frank's successful data science course, Hands-On Data Science and Python Machine Learning empowers you to conduct data analysis and perform efficient machine learning using Python. Let Frank help you unearth the value in your data using the various data mining and data analysis techniques available in Python, and to develop efficient predictive models to predict future results. You will also learn how to perform large-scale machine learning on Big Data using Apache Spark. The book covers preparing your data for analysis, training machine learning models, and visualizing the final data analysis. What you will learn Learn how to clean your data and ready it for analysis Implement the popular clustering and regression methods in Python Train efficient machine learning models using decision trees and random forests Visualize the results of your analysis using Python's Matplotlib library Use Apache Spark's MLlib package to perform
- 16.90MB
Hands-On Machine Learning with C# 1st Edition
2018-08-15Hands-On Machine Learning with C# uniquely blends together an understanding of various machine learning concepts, techniques of machine learning, and various available machine learning tools through ...
- 17.17MB
Hands On Machine Learning with Scikit Learn and TensorFlow
2018-04-16Hands+On+Machine+Learning+with+Scikit+Learn+and+TensorFlow
- 43.29MB
Hands-On Machine Learning with Scikit-Learn and TensorFlow 英文 高清pdf
2018-04-17Hands-On Machine Learning with Scikit-Learn and TensorFlow 英文 高清pdf 网络搜集,值得一读
- 55.1MB
Hands-On Machine Learning with Scikit-Learn and TensorFlow PDF 高清版, 含 Python代码
2017-11-27Hands-On.Machine.Learning.with.Scikit-Learn.and.TensorFlow PDF与代码合集 ,亚马逊排名第一的机器学习与深度学习书籍
- 31.54MB
Hands-on-Machine-Learning-with-Scikit 2E.pdf
2019-08-28Hands-on Machine Learning with Scikit 2nd Edition 代码更新至Tensorflow 2.0