计算思维与算法入门

Machine Learning Yearning_吴恩达_英文版+中文版

Machine Learning Yearning_英文版+中文版 (中文版会持续更新，并有更新的链接地址) 注：转载别人的，无商业目的，资源共享。

Machine Learning Algorithms 2nd Edition

Machine learning has gained tremendous popularity for its powerful and fast predictions with large datasets. However, the true forces behind its powerful output are the complex algorithms involving substantial statistical analysis that churn large datasets and generate substantial insight. This second edition of Machine Learning Algorithms walks you through prominent development outcomes that have taken place relating to machine learning algorithms, which constitute major contributions to the machine learning process and help you to strengthen and master statistical interpretation across the areas of supervised, semi-supervised, and reinforcement learning. Once the core concepts of an algorithm have been covered, you’ll explore real-world examples based on the most diffused libraries, such as scikit-learn, NLTK, TensorFlow, and Keras. You will discover new topics such as principal component analysis (PCA), independent component analysis (ICA), Bayesian regression, discriminant analysis, advanced clustering, and gaussian mixture.

Pro Machine Learning Algorithms Implementing Algorithms in Python

Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R by V Kishore Ayyadevara Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so that you get a practical understanding of all the levers that can be tuned in a model, before implementing the models in Python/R. You will cover all the major algorithms: supervised and unsupervised learning, which include linear/logistic regression; k-means clustering; PCA; recommender system; decision tree; random forest; GBM; and neural networks. You will also be exposed to the latest in deep learning through CNNs, RNNs, and word2vec for text mining. You will be learning not only the algorithms, but also the concepts of feature engineering to maximize the performance of a model. You will see the theory along with case studies, such as sentiment classification, fraud detection, recommender systems, and image recognition, so that you get the best of both theory and practice for the vast majority of the machine learning algorithms used in industry. Along with learning the algorithms, you will also be exposed to running machine-learning models on all the major cloud service providers. You are expected to have minimal knowledge of statistics/software programming and by the end of this book you should be able to work on a machine learning project with confidence. What You Will Learn Get an in-depth understanding of all the major machine learning and deep learning algorithms Fully appreciate the pitfalls to avoid while building models Implement machine learning algorithms in the cloud Follow a hands-on approach through case studies for each algorithm Gain the tricks of ensemble learning to build more accurate models Discover the basics of programming in R/Python and the Keras framework for deep learning Who This Book Is For Business analysts/ IT professionals who want to transition into data science roles. Data scientists who want to solidify their knowledge in machine learning.

Machine Learning Algorithms

Machine Learning Algorithms by Giuseppe Bonaccorso English | 24 July 2017 | ISBN: 1785889621 | ASIN: B072QBG11J | 360 Pages | AZW3 | 12.18 MB Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guide About This Book Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide. Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their implementation. Get a solid foundation for your entry into Machine Learning by strengthening your roots (algorithms) with this comprehensive guide. Who This Book Is For This book is for IT professionals who want to enter the field of data science and are very new to Machine Learning. Familiarity with languages such as R and Python will be invaluable here. What You Will Learn Acquaint yourself with important elements of Machine Learning Understand the feature selection and feature engineering process Assess performance and error trade-offs for Linear Regression Build a data model and understand how it works by using different types of algorithm Learn to tune the parameters of Support Vector machines Implement clusters to a dataset Explore the concept of Natural Processing Language and Recommendation Systems Create a ML architecture from scratch. In Detail As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge. In this book you will learn all the important Machine Learning algorithms that are commonly used in the

Machine Learning Algorithms(pdf+epub+mobi+code_files).zip

Machine Learning Algorithms(pdf+epub+mobi+code_files).zip

机器学习算法Machine Learning Algorithms,

In this book you will learn all the important Machine Learning algorithms that are commonly used in the field of data science. These algorithms can be used for supervised as well as unsupervised ...

Master Machine Learning Algorithms - Discover how they work by Jason Brownlee

Master Machine Learning Algorithms Finally Pull Back The Curtain...在这个巨型电子书是写在友好的机器学习掌握风格，你习惯了，最后切入数学，并了解机器学习算法是如何工作的，然后从零开始，一步一步地实现它们。

Machine Learning Algorithms 2017.8

Machine Learning Algorithms By 作者: Giuseppe Bonaccorso ISBN-10 书号: 1785889621 ISBN-13 书号: 9781785889622 Release 出版日期: 2017-08-04 pages 页数: (449) List Price: $49.99 Book Description ...

Code for Master Machine Learning Algorithms.zip

Master Machine Learning Algorithms.zip 掌握机器学习算法 课程代码

深度学习算法教程(Deeplearning Algorithms Tutorial) 完整版PDF

机器学习(Machine Learning, ML)是一门多领域交叉学科，涉及概率论、统计学、逼近论、 凸分析、算法复杂度理论等多门学科。专门研究计算机怎样模拟或实现人类的学习行为，以获取新的知 识或技能，重新组织已有的...

Machine Learning Yearning

Machine learning is the foundation of countless important applications, including web search, email anti-spam, speech recognition, product recommendations, and more. I assume that you or your team is working on a machine learning application, and that you want to make rapid progress. This book will help you do so.

Stanford cs468 课件

斯坦福 stanford CS468 : Machine Learning for 3D Data课件，第一部分。

《MACHINE LEARNING YEARNING》

吴恩达新书手稿完工

Machine Learning Yearning 0.5 英文原版

Machine Learning Yearning 0.5 英文原版 高清PDF版

Machine_Learning_Yearning_V0.5_01.pdf

Andrew Ng的新书《Machine Learning Yearning》01部分

Machine-Learning-Algorithms-from-Scratch, 从零开始实现机器学习算法.zip

Machine-Learning-Algorithms-from-Scratch, 从零开始实现机器学习算法 Machine-Learning-Algorithms-from-Scratch从零开始实现机器学习算法。目前实现的算法：简单线性回归。数据集：来自Quandl的股票数据逻辑回归...

机器学习算法与人工智能.pptx

Machine Learning Algorithms in Industry – 机器学习算法企业应用场景 ML Algorithms in Hulu –无处不在的机器学习算法在Hulu Democratize ML In Hulu – Hulu ML算法案例研究 AI Platform In Hulu – Hulu人工...

Machine-Learning-From-Scratch常用机器学习的算法简洁实现

Machine-Learning-From-Scratch常用机器学习的算法简洁实现

Machine-Learning-Algorithms-Second-Edition:机器学习算法第二版，由Packt发行

机器学习算法第二版 这是Packt发布的《 的代码库。 流行于数据科学和机器学习的算法这本书是关于什么的？ 机器学习以其强大而快速的大型数据集预测而获得了极大的普及。 但是，强大功能背后的真正力量是涉及大量统计...

Machine Learning and Security: Protecting Systems with Data and Algorithms pdf

Machine learning and security specialists Clarence Chio and David Freeman provide a framework for discussing the marriage of these two fields, as well as a toolkit of machine-learning algorithms that ...

machine-learning-yearning

《machine-learning-yearning》吴恩达老师 最终手稿，拿走不谢

Machine Learning Yearning 中英文版

Machine Learning Yearning 中英文版

吴恩达机器学习深度学习笔记以及机器学习训练秘籍（吴恩达新书Machine Learning Yearning）

资源中包含三个PDF，分别是大牛整理的吴恩达机器学习视频课笔记完整版、深度学习笔记最新版以及吴恩达新书（Machine Learning Yearning）。三本书理论与实践结合，学习了机器学习算法后，Machine Learning Yearning将展示如何构建机器学习项目，使机器学习算法发挥作用。配合网易云吴恩达老师的视频一起食用效果更佳呦！

maching learning yearing

maching learning yearing andrew ng 2018最新力作 Machine Learning Yearning is a deeplearning.ai project

Mastering-Machine-Learning-Algorithms:精通机器学习算法，由Packt发布

掌握机器学习算法 这是出版的的代码库。 它包含从头到尾完成本书所必需的所有支持项目文件。 关于这本书 机器学习是AI的子集，旨在使现代计算机系统变得越来越智能。 机器学习的真正力量在于它的算法，该算法甚至使...

吴恩达-Machine Learning Yearning-（1-52）完结中英文版本

吴恩达-Machine Learning Yearning（1-52章）完结中英文版本

Machine Learning Yearning（吴恩达老师最新章节）

Once you have identified whether your algorithm has high bias or variance, these chapters discuss specific techniques to address the two.

吴恩达新书-Machine learning Yearning

吴恩达新书《Machine learning Yearning》最新整理版，包括目前所有最新章节。

Machine Learning Yearning完整版

吴恩达的书，很全。合并而成，希望对大家有帮助。。。