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【AI-NN-PR】 Python-Machine-Learning-Algorithm-master DL : 0: Python-Machine-Learning-Algorithm-master的源代码(Python-Machine-Learning-Algorithm-master source code)
Update : 2024-05-06 Size : 135168 Publisher : 微生
【AI-NN-PR】 Wide & Deep Learning for Recommender Systems DL : 0: Wide & Deep Learning for Recommender Systems
Update : 2024-05-06 Size : 374784 Publisher : beecindy
【AI-NN-PR】 Deep Learning 中文版 DL : 0: 深度学习教材中文版面向有兴趣学习深度学习的技术人员和相关领域研究人员(deep learning book Chinese edition)
Update : 2024-05-06 Size : 27394048 Publisher : wangcheng
【Other】 machine-learning-for-matlab-master DL : 0: Machine learning codes
Update : 2024-05-06 Size : 3072 Publisher : yubraj
【Other】 MATLAB-for-Machine-Learning-master DL : 0: machine learning codes
Update : 2024-05-06 Size : 708608 Publisher : yubraj
【AI-NN-PR】 1Pattern Recognition and Machine Learning DL : 0: 计算机大牛Bishop出的《Pattern Recognition And Machine Learning》，是机器学习的经典教材，结合Stanford大学stanford 大学 Andrew Ng 教授的 Machine Learning 视频教程一起来学效果会更好，在Coursera网站上也有该视频，观看效果更佳！！！(Pattern Recognition And Machine Learning)
Update : 2024-05-06 Size : 7789568 Publisher : 泼墨丹青
【AI-NN-PR】 2The Elements of Statistical Learning DL : 0: This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It is a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning.(During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework.)
Update : 2024-05-06 Size : 29292544 Publisher : 泼墨丹青
【SourceCode】 Tu Berlin machine learning 2 python DL : 0: Tu Berlin machine learning 2 python
Update : 2017-12-04 Size : 3404 Publisher : jorligorn@gmail.com
【Other】 MATLAB Deep Learning (1) DL : 0: Deep learning book using matlab
Update : 2024-05-06 Size : 2622464 Publisher : aldhyani
【AI-NN-PR】 Machine Learning DL : 0: 机器学习的入门知识，简单易懂，适合机器学习的小白。(A popular book for Machine Learning beginners.)
Update : 2024-05-06 Size : 147456 Publisher : 爱悟空
【Other】 1 Machine Learning Course Matlab Code(1)(1) DL : 0: MACHINE LEARNING MATLAB FIRST CODE
Update : 2024-05-06 Size : 2048 Publisher : ALDEEK
【AI-NN-PR】 Intro to Machine Learning.pdf DL : 0: INTRODUCTION TO MACHINE LEARNING Alex Smola and S.V.N. Vishwanathan
Update : 2024-05-06 Size : 9702400 Publisher : jingc2008
【AI-NN-PR】 Machine Learning for Absolute Beginners.pdf DL : 0: Machine Learning for Absolute Beginners by Oliver Theobald
Update : 2024-05-06 Size : 1604608 Publisher : jingc2008
【AI-NN-PR】 Learning Deep Architectures for AI DL : 0: 一本关于深度架构学习算法，尤其是用来构造更深层模型的非监督学习的单层模型。(Theoretical results suggest that in order to learn the kind of com- plicated functions that can represent high-level abstractions (e.g., in vision, language, and other AI-level tasks), one may need deep architec- tures. Deep architectures are composed of multiple levels of non-linear operations, such as in neural nets with many hidden layers or in com- plicated propositional formulae re-using many sub-formulae. Searching the parameter space of deep architectures is a difficult task, but learning algorithms such as those for Deep Belief Networks have recently been proposed to tackle this problem with notable success, beating the state- of-the-art in certain areas. This monograph discusses the motivations and principles regarding learning algorithms for deep architectures, in particular those exploiting as building blocks unsupervised learning of single-layer models such as Restricted Boltzmann Machines, used to construct deeper models such as Deep Belief Networks.)
Update : 2024-05-06 Size : 1017856 Publisher : cserhz
【Other】 Deep Learning BOOK(Bengio) DL : 1: Yoshua Bengio编写的深度学习书籍，详细介绍了深度学习的各方面内容，此版本为英文版(The deep learning book, written by Yoshua Bengio, describes in detail all aspects of deep learning. This version is in English.)
Update : 2024-05-06 Size : 21494784 Publisher : GMing
【Documents】 Deep Learning Book Chinese 20180727.pdf DL : 0: Yoshua Bengio新书《Deep Learning》中文版(The Chinese version of the new book Yoshua Bengio "Deep Learning")
Update : 2024-05-06 Size : 29805568 Publisher : ricker
【matlab】 Chapter 6 (Temporal Difference Learning) DL : 0: 讲解强化学习中的Q学习和sarsa学习，并通过具体实例讲解怎样运用这些学习方法(Explain Q learning and sarsa learning in intensive learning, and explain how to use these learning methods through concrete examples)
Update : 2024-05-06 Size : 24576 Publisher : xinjiangafanti
【AI-NN-PR】 Mathematical Aspects of Deep Learning DL : 0: 深度学习需要用到的数学方法。。。。。。。(Deep learning mathematics used)
Update : 2024-05-06 Size : 130048 Publisher : xiexuefeng
【AI-NN-PR】 Deep Learning with Python-Manning DL : 0: 深入学习Python介绍领域的深入学习使用Python语言和强大的Keras图书馆。通过keras创造者和谷歌人工智能研究者弗兰?ois Chollet写的，这本书让你了解通过直观的解释和实例。您将探索具有挑战性的概念和实践与计算机视觉，自然语言处理和生成模型的应用程序。当你完成学业的时候，你将具备在自己的项目中应用深度学习的知识和动手能力。(Deep Learning with Python introduces the field of deep learning using the Python language and the powerful Keras library. Written by Keras creator and Google AI researcher Francois Chollet, this book builds your understanding through intuitive explanations and practical examples. You'll explore challenging concepts and practice with applications in computer vision, natural-language processing, and generative models. By the time you finish, you'll have the knowledge and hands-on skills to apply deep learning in your own projects.)
Update : 2024-05-06 Size : 5784576 Publisher : mxyzptlk
【Books】 2016-Python-Real World Machine Learning DL : 0: PDF为文字版，可以复制，一共983页。本书给出了各种机器学习和数据挖掘方法在python中的应用实例，相当详细。京东200多。(Machine learning is becoming increasingly pervasive in the modern data-driven world. It is used extensively across many fields, such as search engines, robotics, self-driving cars, and so on. In this course, you will explore various real-life applications. where you can use what algorithms you should use in a given context using this exciting recipe-based guide.)
Update : 2024-05-06 Size : 14442496 Publisher : dasongjq

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