All Projects → yuanxiaosc → Machine Learning Book

yuanxiaosc / Machine Learning Book

《机器学习宝典》包含:谷歌机器学习速成课程(招式)+机器学习术语表(口诀)+机器学习规则(心得)+机器学习中的常识性问题 (内功)。该资源适用于机器学习、深度学习研究人员和爱好者参考!

Projects that are alternatives of or similar to Machine Learning Book

Dlpython course
Примеры для курса "Программирование глубоких нейронных сетей на Python"
Stars: ✭ 266 (-56.82%)
Mutual labels:  jupyter-notebook, tensorflow-tutorials
Attention is all you need
Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.
Stars: ✭ 303 (-50.81%)
Mutual labels:  google, jupyter-notebook
Flutter Ui Nice
More than 130+ pages in this beautiful app and more than 45 developers has contributed to it.
Stars: ✭ 3,092 (+401.95%)
Mutual labels:  google, course
Google2csv
Google2Csv a simple google scraper that saves the results on a csv/xlsx/jsonl file
Stars: ✭ 145 (-76.46%)
Mutual labels:  google, jupyter-notebook
Introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Stars: ✭ 4,955 (+704.38%)
Mutual labels:  jupyter-notebook, tensorflow-tutorials
Covid19 mobility
COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉
Stars: ✭ 156 (-74.68%)
Mutual labels:  google, jupyter-notebook
Tf tutorial plus
Tutorials for TensorFlow APIs the official documentation doesn't cover
Stars: ✭ 293 (-52.44%)
Mutual labels:  jupyter-notebook, tensorflow-tutorials
Tensorlayer
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
Stars: ✭ 6,796 (+1003.25%)
Mutual labels:  google, tensorflow-tutorials
Tensorflow learning notes
tensorflow学习笔记,来源于电子书:《Tensorflow实战Google深度学习框架》
Stars: ✭ 403 (-34.58%)
Mutual labels:  jupyter-notebook, tensorflow-tutorials
Daily Deeplearning
🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial
Stars: ✭ 381 (-38.15%)
Mutual labels:  jupyter-notebook, tensorflow-tutorials
Dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Stars: ✭ 9,681 (+1471.59%)
Mutual labels:  google, jupyter-notebook
Ml Mipt
Open Machine Learning course at MIPT
Stars: ✭ 480 (-22.08%)
Mutual labels:  jupyter-notebook, course
Google It Automation
google it automation with python professional certificate
Stars: ✭ 81 (-86.85%)
Mutual labels:  google, jupyter-notebook
Docs L10n
Translations of TensorFlow documentation
Stars: ✭ 262 (-57.47%)
Mutual labels:  jupyter-notebook, tensorflow-tutorials
Medium Article
Repo for articles in my personal blog and Medium
Stars: ✭ 28 (-95.45%)
Mutual labels:  google, jupyter-notebook
Deep reinforcement learning course
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Stars: ✭ 3,232 (+424.68%)
Mutual labels:  jupyter-notebook, tensorflow-tutorials
Tensorflow 101
TensorFlow Tutorials
Stars: ✭ 2,565 (+316.4%)
Mutual labels:  jupyter-notebook, tensorflow-tutorials
Deeppicar
Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
Stars: ✭ 242 (-60.71%)
Mutual labels:  jupyter-notebook, tensorflow-tutorials
Tensorflow chessbot
Predict chessboard FEN layouts from images using TensorFlow
Stars: ✭ 362 (-41.23%)
Mutual labels:  jupyter-notebook, tensorflow-tutorials
Docs
TensorFlow documentation
Stars: ✭ 4,999 (+711.53%)
Mutual labels:  jupyter-notebook, tensorflow-tutorials

Machine-Learning-Book

Machine-Learning-Book(机器学习宝典)涵盖了从机器学习从入门到精通所需的所有必备知识。

  1. 其中《机器学习知识点彩图版.pdf》以生动形象的图片描述机器学习中的知识点。
  2. 其中《Google机器学习速成课程.pdf》以加利福尼亚房价预测为线索,讲解了机器学习概念、特征工程以及机器学习在现实世界的应用。该课程有对应知识点的习题和解答,你可以随时检测自己的学习效果。
  3. 其中《机器学习中的常识性问题 (最新网页版)》 , 该文系统性总结了机器学习基础知识。比如你了解机器学习中常见的二分类问题评价指标:混淆矩阵、准确率、精确率、召回率、敏感性、特异性、AUC、ROC以及它们之间的关系吗?(答案见文末)

机器学习彩图版-偏差和方差的权衡

机器学习宝典内容汇总

百度网盘打包下载本资源:

标签 名称 说明
养兴趣 机器学习知识点彩图版.pdf 以生动形象的图片描述机器学习中的知识点。
练招式 完整版Google机器学习速成课程.md or Google机器学习速成课程.pdf and 谷歌机器学习速成课程-配套TensorFlow代码 本文讲解了机器学习概念、特征工程以及机器学习在现实世界的应用。解决了:加利福利亚房价预测问题(回归问题)+分类问题+手写字体识别问题
口诀 机器学习术语表(PDF) or 机器学习术语表(网页版) 本术语表中列出了一般的机器学习术语和 TensorFlow 专用术语的定义。
心得 机器学习规则(PDF) or 机器学习规则(网页版) 本文档旨在帮助已掌握机器学习基础知识的人员从 Google 机器学习的最佳实践(经验)中受益。
练内功 机器学习中的常识性问题(PDF) or 机器学习中的常识性问题 (最新网页版) 系统性深入学习机器学习。机器学习中的常识性问题定义:作为一名合格的机器学习从业人员必须理解的机器学习领域的常识性问题。

开始学习 练招式

点击开始学习完整版 Google机器学习速成课程.md,也可以下载完整版Google机器学习速成课程.pdf

学习进阶 练内功

机器学习中的常识性问题定义:作为一名合格的机器学习从业人员必须理解的机器学习领域的常识性问题。

点击开始学习 机器学习中的常识性问题

机器学习中常见的二分类问题评价指标:混淆矩阵、准确率、精确率、召回率、敏感性、特异性、AUC、ROC以及它们之间的关系吗?

答案:

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].