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1 | MIT License
2 |
3 | Copyright (c) 2020 Saeed Ahmad
4 |
5 | Permission is hereby granted, free of charge, to any person obtaining a copy
6 | of this software and associated documentation files (the "Software"), to deal
7 | in the Software without restriction, including without limitation the rights
8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 |
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 |
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
22 |
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/README.md:
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16 |
17 | > A curated list of FREE AI RESOURCES for aspiring AI Engineers
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20 |

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28 | 
29 |
30 |
31 |
32 |
33 |
34 | ### WHAT IS AI?
35 |
36 | Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
37 |
38 | ### WHY CHOOSE AI?
39 |
40 | Artificial Intelligence is advancing by leaps and bounds. Recent research in the fields of Data Science, Machine Learning, Natural Language Processing and other sub fields of AI has already started to impact the lives of common people. AI is no more a superficial concept. It's already used by tech giants, companies and startups to solve everyday problems. That's why choosing AI as a career path is really rewarding in the long run.
41 |
42 | Even if your profession is not directly related to tech, still it's said that AI will disrupt every field in one or other ways. That's why you need to have at least a basic understanding of how AI works.
43 |
44 | ### 🤖 FREE AI COURSES:
45 | - EdX’s Artificial Intelligence - https://www.edx.org/course/artificial-intelligence-ai
46 | - Udacity’s Intro to Artificial Intelligence - https://www.udacity.com/course/intro-to-artificial-intelligence--cs271
47 | - Artificial Intelligence: Principles and Techniques By Stanford - http://web.stanford.edu/class/cs221/
48 | - Udacity’s Artificial Intelligence for Robotics by Georgia Tech - https://www.udacity.com/course/artificial-intelligence-for-robotics--cs373
49 | - IBM's Data Science and Cognitive Computing courses - https://cognitiveclass.ai/
50 | - Elements of AI - https://www.elementsofai.com/
51 | - Building AI - https://buildingai.elementsofai.com/
52 | - Intellipaat's Artificial Intelligence - https://intellipaat.com/academy/course/artificial-intelligence-free-course/
53 | - EdX/Harvard University's CS50: Introduction to Artificial Intelligence with Python - https://www.edx.org/course/cs50s-introduction-to-artificial-intelligence-with-python
54 | - Microsoft AI School - https://aischool.microsoft.com/en-us/home
55 | - Learn with Google AI - https://ai.google/education/
56 | - Crash Course - Artificial Intelligence https://www.youtube.com/watch?v=GvYYFloV0aA&list=PL8dPuuaLjXtO65LeD2p4_Sb5XQ51par_b
57 |
58 | ### 🔢 FREE MATHEMATICS RESOURCES:
59 | #### Videos
60 | - All Levels/Pre-U - http://www.patrickjmt.com/
61 | - All Levels/Pre-U - http://www.khanacademy.org/
62 | - College - http://ocw.mit.edu/OcwWeb/web/courses/courses/index.htm#Mathematics
63 | - College - https://www.youtube.com/channel/UCoHhuummRZaIVX7bD4t2czg
64 | - College - https://www.youtube.com/channel/UC2F-j2KMho0zVWIPFKWoXoA/videos
65 | - College - https://www.youtube.com/channel/UC5Y9H2KDRHZZTWZJtlH4VbA
66 | - All - https://www.youtube.com/channel/UCNVMxRMEwvo9AS-Jfh6fQFg
67 | - College - http://www.youtube.com/user/njwildberger
68 | - College - https://www.youtube.com/user/MathDoctorBob
69 | - High-School/ College - https://www.youtube.com/channel/UCfbSz1B68ytEKX0D6AFdddQ
70 | - All Levels/ Pre-U - http://www.mathtv.com/
71 | - All Levels/Pre-U - https://www.youtube.com/user/profrobbob
72 | - All Levels/Pre-U - http://www.hippocampus.org/
73 | - GCSE Level - https://www.youtube.com/user/schoolmaths
74 |
75 | #### For Fun
76 | - 3Blue1Brown https://www.youtube.com/channel/UCYO_jab_esuFRV4b17AJtAw
77 | - Mathologer https://www.youtube.com/channel/UC1_uAIS3r8Vu6JjXWvastJg
78 | - MathologerII - https://www.youtube.com/channel/UCH74Hc_7WYVzx1GXhLEH6Eg
79 | - ViHart - https://www.youtube.com/channel/UCOGeU-1Fig3rrDjhm9Zs_wg
80 | - MindYourDecisions - https://www.youtube.com/channel/UCHnj59g7jezwTy5GeL8EA_g
81 | - Tipping-Point-Math - https://www.youtube.com/channel/UCjwOWaOX-c-NeLnj_YGiNEg
82 | - WelchLabs - https://www.youtube.com/channel/UConVfxXodg78Tzh5nNu85Ew
83 | - Infinite Series - https://www.youtube.com/channel/UCs4aHmggTfFrpkPcWSaBN9g
84 | - Vsauce - https://www.youtube.com/channel/UC6nSFpj9HTCZ5t-N3Rm3-HA
85 | - Numberphile https://www.youtube.com/channel/UCoxcjq-8xIDTYp3uz647V5A
86 | - Blackpenredpen https://www.youtube.com/user/blackpenredpen
87 | - AI and Games youtube channel https://www.youtube.com/channel/UCov_51F0betb6hJ6Gumxg3Q
88 | - A.I. and Machine Learning in Unity, Sebastian Schuchmann youtube channel https://www.youtube.com/c/SebastianSchuchmannAI
89 |
90 | #### Example problems and online notes/refrences
91 | - Example Problems - http://www.exampleproblems.com/
92 | - Interact math - http://www.interactmath.com/
93 | - Pauls online Math notes - http://tutorial.math.lamar.edu/
94 | - Calculus org -http://www.calculus.org/
95 | - Wolfram Mathworld - http://mathworld.wolfram.com/
96 | - CTY Online AP & College Math Resources - https://sites.google.com/a/ctyonline.net/jdinoto/
97 | - J.S. Milne's Site - http://www.jmilne.org/math/
98 | - History of Math - http://www-history.mcs.st-and.ac.uk/
99 | - Harvey Mudd College's Online Math Tutorials - http://www.math.hmc.edu/calculus/tutorials/
100 | - Real (and some complex) Analysis & Programming - http://www.mathcs.org/
101 |
102 | #### Computer Algebra Systems
103 | - SAGE - http://www.sagemath.org/index.html
104 | - Maxima - http://maxima.sourceforge.net/
105 | - Octave - http://www.gnu.org/software/octave
106 | - Wolfram Alpha- http://www.wolframalpha.com/
107 | - Geogebra - http://www.geogebra.org/cms
108 | - PARI/GP https://pari.math.u-bordeaux.fr/
109 |
110 | #### Graphics And Visualizing mathematics
111 | - GeoGebra - http://www.geogebra.org/cms
112 | - gnuplot - http://www.gnuplot.info/
113 | - garminder - http://www.gapminder.org/
114 | - Wolfram Demonstrations Project - http://demonstrations.wolfram.com/
115 | - wolframa - http://www.wolframalpha.com/
116 | - scipy- http://www.scipy.org/
117 | - Microsoft Mathematics* - http://www.microsoft.com/downloads/en/details.aspx?FamilyID=9caca722-5235-401c-8d3f-9e242b794c3a
118 | - Winplot - http://math.exeter.edu/rparris/winplot.html
119 | - Desmos - http://desmos.com/calculator/
120 | - Symbolab - http://www.symbolab.com/
121 | - Scilab - http://www.scilab.org/
122 |
123 | #### TypeSetting (Latex)
124 | - TeX Users Group - http://www.tug.org/
125 | - The Comprehensive TeX Archive Network - http://www.ctan.org/
126 | - Art of Problem Solving Tutorial - http://www.artofproblemsolving.com/LaTeX/AoPS_L_About.php
127 | - TexPaste - http://www.texpaste.com/
128 | - Xfig - http://www.xfig.org/
129 | - Detextify - http://detexify.kirelabs.org/classify.html?
130 | - WriteLaTeX WYSIWYG - https://www.writelatex.com/
131 | - LaTeX Examples - http://www.texample.net/
132 |
133 | #### Blogs/Articles
134 | - Terry Tao - http://terrytao.wordpress.com/
135 | - American Mathematical Society - http://blogs.ams.org/blogonmathblogs/
136 | - AMS notices - http://www.ams.org/notices/
137 | - The n-Category Café - https://golem.ph.utexas.edu/category/
138 | - Tim Gowers - http://gowers.wordpress.com/
139 | - ADD/XOR/ROL - http://addxorrol.blogspot.com/
140 | - Math with Bad Drawings - https://mathwithbaddrawings.com/
141 | - Math ∩ Programming - https://jeremykun.com/
142 | - Almost Looks Like Work - https://jasmcole.com/
143 | - Math3ma - https://www.math3ma.com/
144 | - Qiaochu Yuan - https://qchu.wordpress.com/
145 | - Carlos Matheus - https://matheuscmss.wordpress.com/
146 | - Burt Totaro - https://burttotaro.wordpress.com/
147 | - Igor Pak - https://igorpak.wordpress.com/
148 | - Alex Youcis - https://ayoucis.wordpress.com/
149 | - Low dimensional topology - https://ldtopology.wordpress.com/
150 | - Jordan Ellenberg - https://quomodocumque.wordpress.com/
151 | - Secret Blogging Seminar - https://sbseminar.wordpress.com/
152 | - Math Wizurd - http://www.mathwizurd.com/calc
153 |
154 | #### Misc
155 | - academicearth.org - http://www.academicearth.org/subjects/mathematics
156 | - Encyclopedia of Mathematics - http://www.encyclopediaofmath.org/
157 | - Large List of Recommended books, online resources - http://hbpms.blogspot.com/
158 | - Online Encyclopedia of Integer Sequences - http://www.research.att.com/~njas/sequences/
159 | - MathIM - http://www.mathim.com/
160 | - Free Book on Neural Network and Deep Learning - http://neuralnetworksanddeeplearning.com/
161 | - Informational website on artificial intelligence - https://intelligencereborn.com
162 |
163 | #### Other Lists of resources
164 | - Math Overflow's List of Free Online Lectures - http://mathoverflow.net/questions/54430/video-lectures-of-mathematics-courses-available-online-for-free
165 | - Top-down Learning Path on Machine Learning for Software Engineers - https://github.com/ZuzooVn/machine-learning-for-software-engineers
166 | - Fun Learning Projects on Machine Learning for Beginners - https://elitedatascience.com/machine-learning-projects-for-beginners
167 |
168 |
169 |
170 |
171 | ### ⚙️ FREE MACHINE LEARNING COURSES:
172 | - Machine Learning by Andrew NG - https://www.coursera.org/learn/machine-learning
173 | - Intro to ML by Udacity - https://www.udacity.com/course/intro-to-machine-learning--ud120
174 | - EdX’s Learning from Data(Introductory Machine Learning) - https://www.edx.org/course/learning-from-data-introductory-machine-learning#!
175 | - Introduction to Machine Learning for Coders - http://course18.fast.ai/ml
176 | - Statistical Machine Learning by CMU - https://www.youtube.com/watch?list=PLTB9VQq8WiaCBK2XrtYn5t9uuPdsNm7YE&v=zcMnu-3wkWo
177 | - Coursera’s Neural Networks for Machine Learning - https://www.youtube.com/watch?list=PLoRl3Ht4JOcdU872GhiYWf6jwrk_SNhz9&v=cbeTc-Urqak
178 | - Kaggle Complete Roadmap for Machine Learning - https://www.kaggle.com/learn/overview
179 | - EdX’s Principles of Machine Learning - https://www.edx.org/course/principles-of-machine-learning
180 | - Coursera’s Machine Learning Specialization - https://www.coursera.org/specializations/machine-learning
181 | - Machine Learning Crash Course by Google - https://developers.google.com/machine-learning/crash-course
182 | - Machine Learning Course at W3Schools - https://www.w3schools.com/python/python_ml_getting_started.asp
183 | - Intro to Machine Learning Course at Kaggle - https://www.kaggle.com/learn/intro-to-machine-learning
184 | - Intermediate Machine Learning Course at Kaggle - https://www.kaggle.com/learn/intermediate-machine-learning
185 | - Machine Learning with Python - https://cognitiveclass.ai/courses/machine-learning-with-python
186 |
187 | ### 📈 FREE DATA SCIENCE COURSES:
188 | - IBM Data Science Professional Certificate - https://www.coursera.org/professional-certificates/ibm-data-science
189 | - Udacity Intro to Data Science - https://www.udacity.com/course/intro-to-data-science--ud359
190 | - Introduction to Data Science in Python - https://www.coursera.org/learn/python-data-analysis
191 | - Introduction to Data Science Revised - https://alison.com/course/introduction-to-data-science-revised
192 | - A Crash Course in Data Science - https://www.coursera.org/learn/data-science-course
193 |
194 | ### 🧠 FREE DEEP LEARNING COURSES:
195 | - Google’s Deep Learning Course- https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187
196 | - Practical Deep Learning for Coders - https://course.fast.ai/
197 | - Deep Learning from the Foundations - https://course.fast.ai/part2
198 | - Intro to Deep Learning using Tensorflow and Keras Course at Kaggle - https://www.kaggle.com/learn/intro-to-deep-learning
199 | - Free Book on Neural Network and Deep Learning - http://neuralnetworksanddeeplearning.com/
200 |
201 | ### 🗣️ FREE NLP COURSES:
202 | - A Code-First Introduction to Natural Language Processing - https://www.fast.ai/2019/07/08/fastai-nlp/
203 | - Natural Language Processing Specialization by Deeplearning.ai - https://www.coursera.org/specializations/natural-language-processing
204 | - Natural Language Processing Course at Kaggle - https://www.kaggle.com/learn/natural-language-processing
205 |
206 | ### 👁️ FREE MACHINE LEARNING IN GRAPHICS AND VISION COURSES:
207 | - CVPR 2020: Neural Rendering - https://www.neuralrender.com/
208 |
209 | ### 🏆 DATA SCIENCE COMPETITION HOSTING PLATFORMS:
210 | - Kaggle - https://www.kaggle.com/
211 | - Analytics Vidhya - https://www.analyticsvidhya.com/
212 | - CrowdANALYTIX - https://www.crowdanalytix.com/community
213 | - Innocentive - https://www.innocentive.com/our-solvers/
214 | - CodaLab - https://competitions.codalab.org/
215 | - ZINDI - https://zindi.africa/about
216 | - AIcrowd - https://www.aicrowd.com/
217 | - Driven Data - https://www.drivendata.org/
218 | - Numerai - https://numer.ai/
219 | - Tianchi - https://tianchi.aliyun.com/competition/gameList/activeList
220 | - Omdena - https://omdena.com/
221 | - HackerEarth -https://www.hackerearth.com/hackathon/explore/field/machine-learning/
222 |
223 | ### 📦 DATASET REPOSITORIES:
224 | - Data World - https://data.world/datasets/open-data
225 | - Dataset Search by Google - https://datasetsearch.research.google.com/
226 | - Kaggle Dataset - https://www.kaggle.com/datasets
227 | - UCI Machine Learning Repository - https://archive.ics.uci.edu/
228 | - Microsoft Open datasets - https://azure.microsoft.com/en-us/services/open-datasets/catalog/
229 | - UCR - http://timeseriesclassification.com/
230 | - Tensorflow Datasets - https://www.tensorflow.org/datasets/catalog/overview
231 | - Quandl - https://www.quandl.com/
232 |
233 | ### 🔬 AI RESEARCH AT BIG COMPANIES:
234 | - Machine Learning at Apple - https://machinelearning.apple.com/
235 | - AI at Uber - https://www.uber.com/us/en/uberai/
236 | - Machine Learning at Careem - https://blog.careem.com/en/tag/machine-learning/
237 | - Data Science at Grab - https://engineering.grab.com/categories/data-science/
238 | - Autopilot AI at Tesla - https://www.tesla.com/autopilotAI
239 | - AI at Microsoft - https://www.microsoft.com/en-us/ai
240 | - AI Research at Google - https://ai.google/research/
241 | - Self Driving Car Research at Lyft - https://medium.com/lyftlevel5
242 | - AI Research at Huawei - https://www.huawei.com/en/industry-insights/technology/ai
243 | - AI Research at Samsung - https://research.samsung.com/artificial-intelligence
244 | - AI at Alibaba - https://damo.alibaba.com/labs/ai
245 | - Data Science at Gojek - https://blog.gojekengineering.com/data-science/home
246 | - Intelligent Transportation Technology and Security at Didi Chuxing - http://www.didi-labs.com/
247 | - Amazon Science - https://www.amazon.science/
248 | - Data Science at Bolt - https://medium.com/@boltapp
249 | - Industrial AI Research at Hitachi - https://www.hitachi.com/rd/sc/aiblog/index.html
250 |
251 | ### 💻 DEVELOPER RESOURCES:
252 | - Apple - https://developer.apple.com/machine-learning/
253 | - Facebook - https://ai.facebook.com/tools/
254 | - Google - https://cloud.google.com/products/ai
255 | - Microsoft - https://docs.microsoft.com/en-us/ai/
256 |
257 | ### 🎥 YOUTUBE CHANNELS:
258 | - The Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory - https://www.youtube.com/user/MITCSAIL/videos
259 | - The Allen Institute for Artificial Intelligence - https://www.youtube.com/channel/UCEqgmyWChwvt6MFGGlmUQCQ/videos
260 | - DeepMind - https://www.youtube.com/channel/UCP7jMXSY2xbc3KCAE0MHQ-A/videos
261 | - Applied AI Course - https://www.youtube.com/channel/UCJINtWke3-FMz2WuEltWDVQ/videos
262 | - StarCraft Artificial Intelligence Tournament - https://www.youtube.com/user/certicky/videos
263 | - Sentdex - Data Analysis Tutorials - https://www.youtube.com/c/sentdex/videos
264 | - Amazon - Machine Learning University - https://www.youtube.com/channel/UC12LqyqTQYbXatYS9AA7Nuw
265 | - Microsoft Research - https://www.youtube.com/user/MicrosoftResearch
266 | - Krish Nayak for ML/DL/Data Science - https://www.youtube.com/user/krishnaik06
267 | - TechWithTim - Python and ML Tutorials - https://www.youtube.com/channel/UC4JX40jDee_tINbkjycV4Sg
268 | - Jabrils https://www.youtube.com/channel/UCQALLeQPoZdZC4JNUboVEUg
269 |
270 | ### 💼 AI JOB SITES:
271 | - DataYoshi - https://www.datayoshi.com/
272 | - AI Jobs - https://aijobs.com/
273 | - AI-Jobs - https://ai-jobs.net/
274 | - Indeed - https://www.indeed.com/q-Artificial-Intelligence-jobs.html
275 | - Kaggle Jobs - https://www.kaggle.com/jobs
276 | - Remote AI/ML Jobs: https://www.remoteaijobs.com/
277 | - AI Jobs Board: https://aijobsboard.com/
278 |
279 | ### 📝 AI BLOGS:
280 | - Towards Data Science: https://towardsdatascience.com/
281 | - Towards Machine Learning: https://towardsml.com/
282 | - Towards AI: https://medium.com/towards-artificial-intelligence
283 | - Fritz AI: https://heartbeat.fritz.ai/
284 | - The Batch: https://www.deeplearning.ai/thebatch/
285 | - AI Trends: https://www.aitrends.com/
286 | - DeepMind: https://deepmind.com/blog
287 | - Becoming HumanAI: https://becominghuman.ai
288 | - Berkeley Artificial Intelligence Research: https://bair.berkeley.edu/blog/
289 | - IBM Developer: https://developer.ibm.com/patterns/category/artificial-intelligence/
290 | - OpenAI: https://openai.com/
291 | - MIT News: https://news.mit.edu/topic/artificial-intelligence2
292 | - Baidu Research: http://research.baidu.com/
293 | - Algorithmia: https://algorithmia.com/blog
294 | - Machine Learning Mastery: https://machinelearningmastery.com/blog/
295 | - Learn OpenCV: https://www.learnopencv.com/
296 |
297 | ### AI CHEAT-SHEETS:
298 | - Best of AI Cheat-Sheets: https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-science-pdf-f22dc900d2d7
299 | - Stanford CS229 Machine Learning: https://github.com/afshinea/stanford-cs-229-machine-learning
300 | - Stanford CS230 Deep Learning: https://github.com/afshinea/stanford-cs-230-deep-learning
301 | - Stanford CS221 Artificial Intelligence: https://github.com/afshinea/stanford-cs-221-artificial-intelligence
302 | - Collection of AI Cheat-Sheets: http://www.aicheatsheets.com/
303 |
304 | # CONTRIBUTION GUIDELINES:
305 | Feel free to open a PR if you feel like something needs to be added or may be you want to suggest something.
306 | If you want to add something then your commit message should be like: **added to **
307 |
308 | ##### 🌟 Please star the repo so that it gets maximum exposure and more people can benefit from it!
309 |
310 | *Important Notice: All product names, logos, and brands are property of their respective owners. All company, product and service names used in this repository are for identification purposes only. Use of these names, logos, and brands does not imply endorsement.*
311 |
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