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[会计与财务管理] 国外学习资源|AI课程、书籍、视频讲座、论文精选大列表 [推广有奖]

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Courses

MIT Arti?cal Intelligence Videos — MIT AI Course
Grokking Deep Learning in Motion — Beginner’s course to learn deep learning and neural networks without frameworks.
Intro to Artificial Intelligence — Learn the Fundamentals of AI.Course run by Peter Norvig
EdX Arti?cial Intelligence— The course will introduce the basic ideas and techniques underlying the design of intelligent computer systems
Arti?cial Intelligence For Robotics — This class will teach you basic methods in Arti?cial Intelligence, including: probabilistic inference, planning and search, localization, tracking and control,
all with a focus on robotics
Machine Learning— Basic machine learning algorithms for supervised and unsupervised learning
Neural Networks For Machine Learning — Algorithmic and practical tricks for arti?cal neural networks.
Deep Learning— An Introductory course to the world of Deep Learning.
Stanford Statistical Learning — Introductory course on machine learning focusing on: linear and polynomial regression, logistic regression and linear discriminant analysis; cross-validation and the bootstrap, model selection and regularization methods (ridge and lasso); nonlinear models, splines and generalized additive models; tree-based methods, random forests and boosting;support-vector machines.
Knowledge Based Arti?cial Intelligence — Georgia Tech’s course on Articial Intelligence focussing on Symbolic AI.
Deep RL Bootcamp Lectures — Deep Reinforcement Bootcamp Lectures — August 2017



Books


Artificial Intelligence: A Modern Approach — Stuart Russell &Peter Norvig Also consider browsing the list of recommended reading, divided
by each chapter in “Arti?cial Intelligence: A Modern Approach”.
Paradigms Of Arti?cial Intelligence Programming: Case Studies in

Common Lisp — Paradigms of AI Programming is the ?rst text to teach advanced Common Lisp techniques in the context of
building major AI systems
Reinforcement Learning: An Introduction — This introductory textbook on reinforcement learning is targeted toward engineers and scientists in arti?cial intelligence, operations research, neural networks, and control systems, and we hope it will also be of interest to psychologists and neuroscientists.
The Cambridge Handbook Of Arti?cial Intelligence — Written for non-specialists, it covers the discipline’s foundations, major



theories, and principal research areas, plus related topics such as artificial life
The Emotion Machine: Commonsense Thinking, Arti?cial
Intelligence, and the Future of the Human Mind — In this mind-

expanding book, scienti?c pioneer Marvin Minsky continues his
groundbreaking research, o?ering a fascinating new model for
how our minds work
Arti?cial Intelligence: A New Synthesis— Beginning with elementary reactive agents, Nilsson gradually increases their cognitive horsepower to illustrate the most important and lasting ideas in AI
On Intelligence— Hawkins develops a powerful theory of how the human brain works, explaining why computers are not intelligent and how, based on this new theory, we can ?nally build intelligent machines. Also audio version available from audible.com
How To Create A Mind— Kurzweil discusses how the brain works,how the mind emerges, brain-computer interfaces, and the implications of vastly increasing the powers of our intelligence toaddress the world’s problems
Deep Learning — Goodfellow, Bengio and Courville’s introductionto a broad range of topics in deep learning, covering mathematical
and conceptual background, deep learning techniques used in industry, and research perspectives.
The Elements of Statistical Learning: Data Mining, Inference, and
Prediction — Hastie and Tibshirani cover a broad range of topics,

from supervised learning (prediction) to unsupervised learning
including neural networks, support vector machines, classi?cation
trees and boosting — -the ?rst comprehensive treatment of this
topic in any book.
Deep Learning and the Game of Go — Deep Learning and the
Game of Go teaches you how to apply the power of deep learning
to complex human-?avored reasoning tasks by building a Go-
playing AI. After exposing you to the foundations of machine and
deep learning, you’ll use Python to build a bot and then teach it
the rules of the game.
Deep Learning for Search — Deep Learning for Search teaches you
how to leverage neural networks, NLP, and deep learning
techniques to improve search performance.


Deep Learning with PyTorch — PyTorch puts these superpowers in
your hands, providing a comfortable Python experience that gets
you started quickly and then grows with you as you — and your
deep learning skills — become more sophisticated. Deep Learning
with PyTorch will make that journey engaging and fun.
Deep Reinforcement Learning in Action — Deep Reinforcement
Learning in Action teaches you the fundamental concepts and
terminology of deep reinforcement learning, along with the
practical skills and techniques you’ll need to implement it into
your own projects.
Grokking Deep Reinforcement Learning— Grokking Deep
Reinforcement Learning introduces this powerful machine
learning approach, using examples, illustrations, exercises, and
crystal-clear teaching.



Programming


Prolog Programming For Arti?cial Intelligence — This best-selling
guide to Prolog and Arti?cial Intelligence concentrates on the art
of using the basic mechanisms of Prolog to solve interesting AI
problems.
AI Algorithms, Data Structures and Idioms in Prolog, Lisp and
Java — PDF here

Python Tools for Machine Learning
Python for Arti?cial Intelligence

Philosophy


Super Intelligence — Superintelligence asks the questions: What happens when machines surpass humans in general intelligence. A
really great book.
Our Final Invention: Arti?cial Intelligence And The End Of The
Human Era
— Our Final Invention explores the perils of the heedless pursuit of advanced AI. Until now, human intelligence has had no rival. Can we coexist with beings whose intelligence dwarfs our own? And will they allow us to?
How to Create a Mind: The Secret of Human Thought RevealedRay Kurzweil, director of engineering at Google, explored the process of reverse-engineering the brain to understand precisely




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情有毒盅 发表于 2018-11-9 17:35:04 |显示全部楼层 |坛友微信交流群
how it works, then applies that knowledge to create vastly
intelligent machines.
Minds, Brains, And Programs— The 1980 paper by philospher
John Searle that contains the famous ‘Chinese Room’ thought
experiment. Probably the most famous attack on the notion of a
Strong AI possessing a ‘mind’ or a ‘consciousness’, and interesting
reading for those interested in the intersection of AI and
philosophy of mind.
Gödel, Escher, Bach: An Eternal Golden Braid — Written by
Douglas Hofstadter and taglined “a metaphorical fugue on minds
and machines in the spirit of Lewis Carroll”, this wonderful
journey into the the fundamental concepts of
mathematics,symmetry and intelligence won a Pulitzer Price for
Non-Fiction in 1979. A major theme throughout is the emergence
of meaning from seemingly ‘meaningless’ elements, like 1’s and
0’s, arranged in special patterns.
Life 3.0: Being Human in the Age of Arti?cial Intelligence — Max
Tegmark, professor of Physics at MIT, discusses how Arti?cial
Intelligence may a?ect crime, war, justice, jobs, society and our
very sense of being human both in the near and far future.
Free Content
Foundations Of Computational Agents— This book is published by
Cambridge University Press, 2010
The Quest For Arti?cial Intelligence— This book traces the history
of the subject, from the early dreams of eighteenth-century (and
earlier) pioneers to the more successful work of today’s AI
engineers.
Stanford CS229 — Machine Learning — This course provides a
broad introduction to machine learning and statistical pattern
recognition.
Computers and Thought: A practical Introduction to Arti?cial
Intelligence
— The book covers computer simulation of human
activities, such as problem solving and natural language
understanding; computer vision; AI tools and techniques; an
introduction to AI programming; symbolic and neural network
models of cognition; the nature of mind and intelligence; and the
social implications of AI and cognitive science.

Society of Mind— Marvin Minsky’s seminal work on how our mind
works. Lot of Symbolic AI concepts have been derived from this
basis.
Arti?cial Intelligence and Molecular Biology— The current volume
is an e?ort to bridge that range of exploration, from nucleotide to
abstract concept, in contemporary AI/MB research.
Brief Introduction To Educational Implications Of Arti?cial
Intelligence
— This book is designed to help preservice and
inservice teachers learn about some of the educational
implications of current uses of Arti?cial Intelligence as an aid to
solving problems and accomplishing tasks.
Encyclopedia: Computational intelligence — Scholarpedia is a
peer-reviewed open-access encyclopedia written and maintained
by scholarly experts from around the world.
Ethical Arti?cial Intelligence— a book by Bill Hibbard that
combines several peer reviewed papers and new material to
analyze the issues of ethical arti?cial intelligence.
Golden Arti?cial Intelligence — a cluster of pages on arti?cial
intelligence and machine learning.

Code
AIMACode — Source code for “Arti?cial Intelligence: A Modern
Approach” in Common Lisp, Java, Python. More to come.
FANN— Fast Arti?cial Neural Network Library, native for C
FARGonautica— Source code of Douglas Hosftadter’s Fluid
Concepts and Creative Analogies Ph.D. projects.

Videos
A tutorial on Deep Learning
Basics of Computational Reinforcement Learning
Deep Reinforcement Learning
Intelligent agents and paradigms for AI
The Unreasonable E?ectiveness Of Deep Learning— The Director
of Facebook’s AI Research, Dr. Yann LeCun gives a talk on deep



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情有毒盅 发表于 2018-11-9 17:35:05 |显示全部楼层 |坛友微信交流群
convolutional neural networks and their applications to machine
learning and computer vision
AWS Machine Learning in Motion- This interactive liveVideo
course gives you a crash course in using AWS for machine
learning, teaching you how to build a fully-working predictive
algorithm.
Deep Learning with R in Motion-Deep Learning with R in Motion
teaches you to apply deep learning to text and images using the
powerful Keras library and its R language interface.
Grokking Deep Learning in Motion-Grokking Deep Learning in
Motion will not just teach you how to use a single library or
framework, you’ll actually discover how to build these algorithms
completely from scratch!



Learning


Deep Learning. Methods And ApplicationsFree book from
Microsoft Research
Neural Networks And Deep Learning — Neural networks and deep
learning currently provide the best solutions to many problems in
image recognition, speech recognition, and natural language
processing. This book will teach you the core concepts behind
neural networks and deep learning
Machine Learning: A Probabilistic Perspective — This textbook
o?ers a comprehensive and self-contained introduction to the ?eld
of machine learning, based on a uni?ed, probabilistic approach
Deep Learning— Yoshua Bengio, Ian Goodfellow and Aaron
Courville put together this currently free (and draft version) book
on deep learning. The book is kept up-to-date and covers a wide
range of topics in depth (up to and including sequence-to-
sequence learning).
Getting Started with Deep Learning and Python
Machine Learning Mastery
Deep Learning.net — Aggregation site for DL resources
Awesome Machine Learning — Like this Github, but ML-focused
FastML

Awesome Deep Learning Resources — Rough list of learning
resources for Deep Learning
Professional and In-Depth Machine Learning Video Courses — A
collection of free professional and in depth Machine Learning and
Data Science video tutorials and courses
Professional and In-Depth Arti?cial Intelligence Video Courses — A
collection of free professional and in depth Arti?cial Intelligence
video tutorials and courses
Professional and In-Depth Deep Learning Video Courses— A
collection of free professional and in depth Deep Learning video
tutorials and courses
Introduction to Machine Learning — Introductory level machine
learning crash course

Organizations


IEEE Computational Intelligence Society
Machine Intelligence Research Institute
OpenAI
Association For The Advancement of Arti?cial Intelligence
Google DeepMind Research

Journals


AI & Society
Annals of Mathematics and Arti?cal Intelligence
Applicable Algebra in Engineering, Communication andComputing
Applied Intelligence
Arti?cial Intelligence Review
Automated Software Engineering
Autonomous Agents and Multi-Agent Systems
Computational and Mathematical Organization Theory
Evolutionary Intelligence

Intelligent Industrial Systems
Journal of Automated Reasoning
Journal on Data Semantics
Journal of Intelligent Information Systems
Minds and Machines
Progress in Arti?cial Intelligence
Arti?cial Intelligence
Journal of Arti?cial Intelligence Research
AI Magazine
EXPERT — IEEE Intelligent Systems
Computational Intelligence
International Journal of Intelligent Systems
Applied Arti?cial Intelligence
Knowledge Engineering Review
Journal of Experimental and Theoretical Arti?cial Intelligence
Arti?cial Intelligence for Engineering Design, Analysis andManufacturing
AI Communications
International Journal on Arti?cial Intelligence Tools
Electronic Transactions on Arti?cial Intelligence
IEEE Transactions Automation Science and Engineering

Competitions

MIT Battlecode
AI Challenge
AI Games
Building JS robots


Movies
2001: A Space Odyssey
A.I. Arti?cial Intelligence
Automata
Blade Runner
Chappie
Ex Machina
Her
I, Robot
Prometheus
The Terminator
Transcendence

Misc

Open Cognition Project— We’re undertaking a serious e?ort to
build a thinking machine
AITopics— Large aggregation of AI resources
AIResources— Directory of open source software and open access
data for the AI research community
Arti?cial Intelligence Subreddit
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GKINGLIU 在职认证  发表于 2018-11-9 18:07:32 来自手机 |显示全部楼层 |坛友微信交流群
情有毒盅 发表于 2018-11-9 17:35
Courses
MIT Arti?cal Intelligence Videos — MIT AI Course
Grokking Deep Learning in Motion — Begi ...
不错不错

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nice生活圈 在职认证  学生认证  发表于 2018-11-9 18:11:24 |显示全部楼层 |坛友微信交流群

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花落若相惜 在职认证  发表于 2018-11-9 18:12:20 |显示全部楼层 |坛友微信交流群

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renjiang_yd 发表于 2018-11-9 19:58:55 |显示全部楼层 |坛友微信交流群
太丰富啦!谢谢

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giresse 在职认证  发表于 2018-11-12 12:10:11 |显示全部楼层 |坛友微信交流群

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