Difference between revisions of "Courses & Certifications"
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| − | |keywords=artificial, intelligence, machine, learning, models | + | |keywords=ChatGPT, artificial, intelligence, machine, learning, GPT-4, GPT-5, NLP, NLG, NLC, NLU, models, data, singularity, moonshot, Sentience, AGI, Emergence, Moonshot, Explainable, TensorFlow, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Hugging Face, OpenAI, Tensorflow, OpenAI, Google, Nvidia, Microsoft, Azure, Amazon, AWS, Meta, LLM, metaverse, assistants, agents, digital twin, IoT, Transhumanism, Immersive Reality, Generative AI, Conversational AI, Perplexity, Bing, You, Bard, Ernie, prompt Engineering LangChain, Video/Image, Vision, End-to-End Speech, Synthesize Speech, Speech Recognition, Stanford, MIT |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools |
| − | |description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools | + | |
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| − | [ | + | [https://www.youtube.com/results?search_query=course+certification+deep+machine+learning+artificial+intelligence+ML+AI YouTube] |
| − | [ | + | [https://www.quora.com/search?q=ai%20course%20certification%20deep%20machine%20learning%20artificial%20intelligence%20ML ... Quora] |
| + | [https://www.google.com/search?q=course+certification+deep+machine+learning+artificial+intelligence+ML+AI ...Google search] | ||
| + | [https://news.google.com/search?q=course+certification+deep+machine+learning+artificial+intelligence+ML+AI ...Google News] | ||
| + | [https://www.bing.com/news/search?q=course+certification+deep+machine+learning+artificial+intelligence+ML+AI&qft=interval%3d%228%22 ...Bing News] | ||
| + | |||
| + | * [[How do I leverage Artificial Intelligence (AI)?]] ... [[Reading Material & Glossary|Reading/Glossary]] ... [[Courses & Certifications|Courses/Certs]] ... [[Education]] ... [[Help Wanted]] | ||
| + | * [[Math for Intelligence]] ... [[Finding Paul Revere]] ... [[Social Network Analysis (SNA)]] ... [[Dot Product]] ... [[Kernel Trick]] | ||
| + | * [https://www.linkedin.com/pulse/microsofts-launches-new-ai-skills-training-resources-part-behncken/ Microsoft Launches New AI Skills Training and Resources as part of Skill for Jobs Initiative | Kate Behncken - Linkedin] | ||
| + | * [https://www.classcentral.com/report/best-data-science-curriculum/ The Best Data Science Curriculum — Class Central Career Guides | David Venturi - Class Central] | ||
| + | * [https://www.freecodecamp.org/news/ivy-league-free-online-courses-a0d7ae675869/ Here are 850+ Ivy League Courses You Can Take Right Now for Free | Dhawal Shah - freeCodeCamp] | ||
| + | * [https://www.kdnuggets.com/want-to-become-a-data-scientist-part-1-10-hard-skills-you-need Want to Become a Data Scientist? Part 1: 10 Hard Skills You Need | Nisha Arya - KDnuggets] ... A quick 10-step hard skill guide on what you need to become a Data Scientist. | ||
| + | * [https://www.google.com/search?q=AI+Conferences&rlz=1C1CHBF_enUS914US914&oq=Cybersecurity+Conferences&gs_lcrp=EgZjaHJvbWUyBggAEEUYOdIBCjI1ODIxajBqMTWoAgCwAgA&sourceid=chrome&ie=UTF-8&ibp=htl;events&rciv=evn&sxsrf=AB5stBgIek4SPbA1xUGlvPm5G5AzJKJWxw:1693305740893#fpstate=tldetail&htivrt=events AI Conferences | Google] ... [[Cybersecurity Conferences]] | ||
| + | |||
| + | |||
| + | <hr><center> | ||
| + | |||
| + | <b><i>If you want something you’ve never had then you’ve got to do something you’ve never done.</i></b> | ||
| − | + | </center><hr> | |
| − | |||
| − | |||
| − | |||
| + | |||
| + | === <span id="Generative AI"></span>[[Generative AI]] === | ||
| + | * [https://www.cloudskillsboost.google/course_templates/536 Introduction to Generative AI |] [[Google]] | ||
| + | * [https://www.cloudskillsboost.google/course_templates/539 Introduction to Large Language Models |] [[Google]] | ||
| + | * [https://learn.microsoft.com/en-us/training/paths/introduction-generative-ai/ Microsoft Azure AI Fundamentals: Generative AI |] [[Microsoft]] | ||
| + | ** [https://techcommunity.microsoft.com/t5/educator-developer-blog/how-to-learn-generative-ai-with-microsoft-s-free-course/ba-p/4067112 How to Learn Generative AI with Microsoft’s Free Course |] [[Microsoft]] | ||
| + | * [https://www.coursera.org/learn/generative-ai-with-llms Generative AI with Large Language Models |] [https://www.coursera.org/courses?query=generative%20ai ...Courses | Coursera] | ||
| + | * [https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-FX-07+V1 Generative AI Explained |] [[Nvidia]] | ||
| + | * [https://www.facebook.com/privacy/guide/genai?entry_point= Generative AI |] [[Meta]] | ||
| + | * [https://www.udacity.com/course/generative-AI-with-AWS--cd13232 Introducing Generative AI with AWS | Udacity] | ||
| + | * [https://www.deeplearning.ai/courses/generative-ai-for-everyone/ Generative AI for Everyone | DeepLearning.ai] | ||
=== <span id="Natural Language Processing (NLP)"></span>[[Natural Language Processing (NLP)]] === | === <span id="Natural Language Processing (NLP)"></span>[[Natural Language Processing (NLP)]] === | ||
| − | * [ | + | * [https://www.coursera.org/learn/language-processing/home/welcome Natural Language Processing | Coursera] |
| − | * [ | + | * [https://web.stanford.edu/class/cs224n/ Natural Language Processing with Deep Learning | Stanford] |
| − | * [ | + | * [https://web.stanford.edu/class/cs124/ CS 124: From Languages to Information | Dan Jurafsky - Stanford] |
| − | * [ | + | * [https://www.class-central.com/course/coursera-natural-language-processing-9603 Natural Language Processing | Higher School of Economics] |
| − | * [ | + | * [https://www.class-central.com/course/deep-learning-for-natural-language-processing-8097 Deep Learning for Natural Language Processing | Oxford - Phil Blunsom] |
| − | * [ | + | * [https://app.pluralsight.com/library/courses/python-natural-language-processing/table-of-contents Getting Started with Natural Language Processing with Python | Swetha Kolalapudi] |
| − | * [ | + | * [https://www.edx.org/course/natural-language-processing-1 Natural Language Processing (NLP) Microsoft | Lei Ma, Roland Fernandez, Xiaodong He] |
* [[NVIDIA Deep Learning Institute]] | * [[NVIDIA Deep Learning Institute]] | ||
| − | * [ | + | * [https://github.com/fastai/course-nlp A Code-First Intro to Natural Language Processing | fast.ai] |
| − | * [ | + | * [https://courses.cs.washington.edu/courses/cse517/17wi/ Natural Language Processing | Yejin Choi - University of Washington] |
| − | * [ | + | * [https://github.com/yandexdataschool/nlp_course/tree/master YSDA Natural Language Processing | Yandex Data School] |
| − | * [ | + | * [https://www.coursera.org/learn/language-processing Natural Language Processing | National Research University Higher School of Economics] |
| − | * [ | + | * [https://people.ischool.berkeley.edu/~dbamman/info256.html Applied Natural Language Processing | David Bamman - UC Berkeley] |
| − | * [ | + | * [https://www.cs.tau.ac.il/~joberant/teaching/nlp_spring_2019/index.html Advanced Methods in Natural Language Processing | Tel Aviv University] |
| − | * [ | + | * [https://course.spacy.io/ Advanced NLP with spaCy | Ines Montani (of Explosion AI)] |
| − | * [ | + | * [https://www.kaggle.com/learn/natural-language-processing Natural Language Processing | Kaggle] |
| − | * [ | + | * [https://www.deeplearning.ai/natural-language-processing-specialization/ Natural Language Processing Specialization | deeplearning.ai] |
| + | |||
| + | == Other Artificial Intelligence == | ||
| + | |||
| + | |||
==== [https://www.kaggle.com/learn/overview Kaggle] ==== | ==== [https://www.kaggle.com/learn/overview Kaggle] ==== | ||
| − | * [ | + | * [https://www.kaggle.com/learn/overview Kaggle Hands-On Data Science Education] |
| − | * [ | + | * [https://www.kaggle.com/learn/python Python] |
| − | * [ | + | * [https://www.kaggle.com/learn/intro-to-machine-learning Intro to Machine Learning] |
| − | * [ | + | * [https://www.kaggle.com/learn/intermediate-machine-learning Intermediate Machine Learning] |
| − | * [ | + | * [https://www.kaggle.com/learn/feature-engineering Feature Engineering] |
| − | * [ | + | * [https://www.kaggle.com/learn/deep-learning Deep Learning] TensorFlow |
| − | * [ | + | * [https://www.kaggle.com/learn/machine-learning-explainability Machine Learning Explainability] |
| − | * [ | + | * [https://www.kaggle.com/learn/natural-language-processing Natural Language Processing] |
| − | * [ | + | * [https://www.kaggle.com/learn/intro-to-game-ai-and-reinforcement-learning Intro to Game AI and Reinforcement Learning] |
==== [[Google]] ==== | ==== [[Google]] ==== | ||
| − | * [ | + | * [https://ai.google/education/ Learn with Google AI] |
| − | * [ | + | * [https://www.class-central.com/course/learn-tensorflow-and-deep-learning-without-a-ph-d-8480 Learn TensorFlow and Deep Learning, without a Ph.D. | Google] |
| − | * [ | + | * [https://www.class-central.com/course/udacity-deep-learning-5681 Deep Learning | Google] |
| − | * [ | + | * [https://developers.google.com/machine-learning/crash-course/ Machine Learning Crash Course with TensorFlow APIs | Google] |
==== [[Microsoft]] ==== | ==== [[Microsoft]] ==== | ||
| − | * [ | + | * [https://microsoft.github.io/AI-For-Beginners/ Artificial Intelligence for Beginners - A Curriculum] |
| − | * [ | + | * [https://aischool.microsoft.com/learning-paths Microsoft AI School] |
| − | * [ | + | * [https://academy.microsoft.com/en-us/professional-program/tracks/artificial-intelligence/ Microsoft Professional Program for Artificial Intelligence] |
| + | * [https://www.edx.org/course/introduction-to-artificial-intelligence-ai Play Video: Introduction to Artificial Intelligence (AI) | Microsoft] | ||
==== [[Amazon]] ==== | ==== [[Amazon]] ==== | ||
| − | * [ | + | * [https://aws.amazon.com/training/learning-paths/machine-learning/ Machine Learning] |
| − | * [ | + | * [https://aws.amazon.com/training/ Amazon Training] |
==== [[NVIDIA]] ==== | ==== [[NVIDIA]] ==== | ||
| − | * [ | + | * [https://www.nvidia.com/en-us/deep-learning-ai/education/ NVIDIA Deep Learning Institute (DLI)] |
==== [[Intel]] ==== | ==== [[Intel]] ==== | ||
| − | * [ | + | * [https://software.intel.com/en-us/ai-academy Intel AI Academy] |
==== [[IBM]] ==== | ==== [[IBM]] ==== | ||
| − | * [ | + | * [https://cognitiveclass.ai/courses/ IBM Cognitive Classes - use Watson services to make a] [[Assistants#Chatbot | Chatbot]] |
| − | ==== [ | + | ==== [https://ocw.mit.edu/courses/ MIT] ==== |
| − | * [ | + | * [https://www.classcentral.com/course/coursera-intro-to-tensorflow-11075 Intro to TensorFlow | MIT] |
| − | * [ | + | * [https://www.classcentral.com/course/coursera-recommendation-systems-with-tensorflow-on-gcp-12120 Recommendation Systems with TensorFlow on GCP | MIT] |
| − | * [ | + | * [https://www.classcentral.com/course/coursera-end-to-end-machine-learning-with-tensorflow-on-gcp-11785 End-to-End Machine Learning with TensorFlow on GCP | MIT] |
| − | * [ | + | * [https://www.class-central.com/course/6-s191-introduction-to-deep-learning-8083 Introduction to Deep Learning | MIT] |
| − | * [ | + | * [https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/index.htm Artificial Intelligence | MIT] |
| − | * [ | + | * [https://www.class-central.com/course/6-s094-deep-learning-for-self-driving-cars-8132 Deep Learning for Self-Driving Cars | MIT] |
| − | ==== [ | + | ==== [https://online.stanford.edu/search-catalog?free_or_paid%5Bfree%5D=free&type=All Stanford] ==== |
| − | * [ | + | * [https://cs231n.stanford.edu/ Convolutional Neural Networks for Visual Recognition | Stanford] |
| − | * [ | + | * [https://www.class-central.com/course/coursera-improving-deep-neural-networks-hyperparameter-tuning-regularization-and-optimization-9054 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | Stanford] |
| − | * [ | + | * [https://www.class-central.com/course/coursera-sequence-models-9055 Sequence Models | Stanford] |
| − | * [ | + | * [https://www.class-central.com/course/coursera-convolutional-neural-networks-9057 Convolutional Neural Networks | Stanford] |
| − | * [ | + | * [https://www.class-central.com/course/coursera-structuring-machine-learning-projects-9056 Structuring Machine Learning Projects | Stanford] |
| − | ==== [ | + | ==== [https://www.coursera.org/ Coursera] ==== |
| − | * [ | + | * [https://www.coursera.org/specializations/deep-learning Deep Learning Specialization | Andrew Ng] |
| − | * [ | + | * [https://www.coursera.org/learn/machine-learning Machine Learning | Stanford] |
| − | ** [ | + | ** [https://www.coursera.org/learn/machine-learning/home/welcome Start] |
| − | * [ | + | * [https://www.coursera.org/specializations/machine-learning Machine Learning Specialization | University of Washington] |
| − | * [ | + | * [https://www.coursera.org/learn/natural-language-processing-tensorflow Natural Language Processing in TensorFlow | deeplearning.ai] |
| − | * [ | + | * [https://www.coursera.org/specializations/tensorflow-in-practice TensorFlow in Practice Specialization | deeplearning.ai] |
| − | ==== [ | + | ==== [https://www.deeplearning.ai/ deeplearning.ai] ==== |
| − | * [ | + | * [https://www.deeplearning.ai/tensorflow-in-practice/ TensorFlow in Practice] |
| − | * [ | + | * [https://www.deeplearning.ai/tensorflow-data-and-deployment/ TensorFlow: Data and Deployment] |
| − | * [ | + | * [https://www.deeplearning.ai/deep-learning-specialization/ Deep Learning] |
| − | * [ | + | * [https://www.deeplearning.ai/ai-for-everyone/ AI For Everyone] |
| − | * [ | + | * [https://www.deeplearning.ai/natural-language-processing-specialization/ Natural Language Processing Specialization] |
| − | * [ | + | * [https://www.deeplearning.ai/ai-for-medicine/ AI For Medicine] |
| − | * [ | + | * [https://www.deeplearning.ai/ai-for-everyone/ AI For Everyone] |
| − | ==== [ | + | ==== [https://www.classcentral.com/ Class-Central] ==== |
| − | * [ | + | * [https://www.classcentral.com/search?q=tensorflow Tensorflow courses] |
| − | * [ | + | * [https://www.class-central.com/course/coursera-introduction-to-deep-learning-9606 Introduction to Deep Learning | Higher School of Economics] |
| − | * [ | + | * [https://www.class-central.com/course/coursera-introduction-to-reinforcement-learning-9607 Introduction to Reinforcement Learning | Higher School of Economics] |
| − | * [ | + | * [https://www.class-central.com/course/edx-machine-learning-8995 Machine Learning | Georgia Institute of Technology] |
| − | * [ | + | * [https://www.class-central.com/course/coursera-deep-learning-in-computer-vision-9608 Deep Learning in Computer Vision | Higher School of Economics] |
| − | * [ | + | * [https://www.class-central.com/course/coursera-deep-learning-for-business-9431 Deep Learning for Business | Yonsei University] |
| − | * [ | + | * [https://www.class-central.com/course/cutting-edge-deep-learning-for-coders-part-2-8965 Cutting Edge Deep Learning For Coders | fast.ai and University of San Francisco] |
| − | ==== [ | + | ==== [https://www.udemy.com/ Udemy] ==== |
| − | * [ | + | * [https://www.udemy.com/deeplearning/ Deep Learning A-Z™: Hands-On Artificial Neural Networks | Kirill Eremenko, Hadelin de Ponteves] |
| − | * [ | + | * [https://www.udemy.com/machinelearning/ Machine Learning A-Z™: Hands-On Python & R In Data Science | Kirill Eremenko, Hadelin de Ponteves] |
| − | * [ | + | * [https://www.udemy.com/data-science-and-machine-learning-with-python-hands-on Data Science, Deep Learning, & Machine Learning with Python | Frank Kane] |
| − | * [ | + | * [https://www.udemy.com/complete-guide-to-tensorflow-for-deep-learning-with-python/ Complete Guide to TensorFlow for Deep Learning with Python | Jose Portilla] |
| − | * [ | + | * [https://www.udemy.com/data-science-and-machine-learning-bootcamp-with-r Data Science and Machine Learning Bootcamp with R | Jose Portilla] |
| − | * [ | + | * [https://www.udemy.com/scala-and-spark-for-big-data-and-machine-learning Scala and Spark for Big Data and Machine Learning | Jose Portilla] |
| − | * [ | + | * [https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp Python for Data Science and Machine Learning Bootcamp | Jose Portilla] |
| − | + | * [https://www.udemy.com/course/deep-learning-tensorflow-2 Tensorflow 2.0: Deep Learning and Artificial Intelligence | Lazy Programmer Team] | |
| − | * [ | + | * [https://www.udemy.com/course/artificial-intelligence-reinforcement-learning-in-python/ Artificial Intelligence: Reinforcement Learning in Python | Lazy Programmer Team] |
| − | * [ | + | * [https://www.udemy.com/course/artificial-intelligence-for-simple-games/ Artificial Intelligence for Simple Games | Jan Warchocki] |
| − | * [ | ||
| − | ==== [ | + | ==== [https://www.pluralsight.com/ Pluralsight] ==== |
| − | * [ | + | * [https://www.pluralsight.com/ Pluralsight] Grow your machine learning skills... |
| − | * [ | + | * [https://app.pluralsight.com/player?course=deep-learning-big-picture&author=matthew-renze&name=7a060aae-dc11-4d72-b726-8138fb222fa7&clip=3&mode=live Deep Learning: The Big Picture | Matthew Renze] |
| − | * [ | + | * [https://app.pluralsight.com/library/courses/python-natural-language-processing/table-of-contents Getting Started with Natural Language Processing with Python | Swetha Kolalapudi] |
| − | * [ | + | * [https://app.pluralsight.com/player?course=keras-deep-learning&author=jerry-kurata&name=3ddb460c-63d7-42fa-98fd-262e816f379f&clip=2&mode=live Deep Learning with Keras | Jerry Kkurata] |
| − | * [ | + | * [https://app.pluralsight.com/library/courses/tensorflow-building-classification-models/table-of-contents Building Classification Models with TensorFlow | Janani Ravi] |
| − | * [ | + | * [https://app.pluralsight.com/library/courses/play-by-play-machine-learning-exposed/table-of-contents Play by Play: Machine Learning Exposed | Katharine Beaumont and James Weaver] |
| − | * [ | + | * [https://app.pluralsight.com/library/courses/tensorflow-building-regression-models/table-of-contents Building Regression Models Using TensorFlow | Vitthal Srinivasan] |
| − | * [ | + | * [https://app.pluralsight.com/library/courses/tensorflow-sentiment-analysis-recurrent-neural-networks/table-of-contents Sentiment Analysis with Recurrent Neural Networks in TensorFlow | Janani Ravi] |
| − | * [ | + | * [https://app.pluralsight.com/library/courses/azure-machine-learning-getting-started/table-of-contents Getting Started with Azure Machine Learning | Jerry Kurata] |
| − | * [ | + | * [https://app.pluralsight.com/library/courses/understanding-machine-learning/table-of-contents Understanding Machine Learning | David Chappell] |
| + | * [https://app.pluralsight.com/library/courses/microsoft-cognitive-services-machine-learning/table-of-contents Machine Learning and Microsoft Cognitive Services | Janani Ravi] | ||
| + | * [https://app.pluralsight.com/player?course=tensorflow-understanding-foundations&author=janani-ravi&name=tensorflow-understanding-foundations-m1&clip=1 Understanding the Foundations of TensorFlow - Introducing TensorFlow : Traditional ML Algorithms | Janani Ravi] | ||
| − | ==== [ | + | ==== [https://www.futurelearn.com/ Future Learn] ==== |
| − | * [ | + | * [https://www.futurelearn.com/courses/gaming-big-data Data Science in the Games Industry | University of Dundee] |
| − | * [ | + | * [https://www.futurelearn.com/courses/artificial-intelligence Digital Skills: Artificial Intelligence | Accenture] |
| − | * [ | + | * [https://www.futurelearn.com/courses/artificial-intelligence-technology-application Applications of AI Technology | Taipei Medical University] |
| − | ==== [ | + | ==== [https://www.udacity.com/school-of-ai Udacity] ==== |
| − | * [ | + | * [https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187 Intro to TensorFlow for Deep Learning byTensorFlow] |
| − | * [ | + | * [https://in.udacity.com/course/intro-to-artificial-intelligence--cs271 Intro to Artificial Intelligence] |
| − | * [ | + | * [https://eu.udacity.com/course/machine-learning-engineer-nanodegree--nd009?gclid=EAIaIQobChMIyubAmMff2wIVwvhRCh13aw6QEAAYASAAEgLl3fD_BwE Become a Machine Learning Engineer] |
| − | * [ | + | * [https://www.alteryx.com/why-alteryx/alteryx-for-good/adapt-program Advancing Data & Analytics Potential Together: Adapt | Alteryx] new graduates and unemployed data workers are granted access |
==== Other Courses ==== | ==== Other Courses ==== | ||
| − | * [ | + | * [https://www.linkedin.com/learning/introduction-to-artificial-intelligence/define-general-intelligence Introduction to Artificial Intelligence | Doug Rose - LinkedIn] |
| − | * [ | + | * [https://atcold.github.io/pytorch-Deep-Learning/ Deep Learning | NYU Center for Data Science] |
| − | * [ | + | * [https://www.fast.ai/ fast.ai] |
| − | * [ | + | * [https://scrimba.com/g/gneuralnetworks Neural networks in JavaScript - Brain.js | Robert Plummer] |
| − | * [ | + | * [https://www.class-central.com/course/kadenze-creative-applications-of-deep-learning-with-tensorflow-6679 Creative Applications of Deep Learning with TensorFlow | Kadenze] |
| − | * [ | + | * [https://cognitiveclass.ai/courses/deep-learning-tensorflow/ Deep Learning with TensorFlow | Cognitive Class] |
| − | * [ | + | * [https://cognitiveclass.ai/courses/introduction-deep-learning/ Deep Learning Fundamentals | Cognitive Class] |
| − | * [ | + | * [https://www.edx.org/course/artificial-intelligence-ai-columbiax-csmm-101x-2 Artificial Intelligence (AI) | Columbia University] |
| − | * [ | + | * [https://ai.berkeley.edu/lecture_videos.html CS188 Intro to AI | UC Berkeley] |
| − | * [ | + | * [https://projectmanagers.org/artificial-intelligence-certification-training-courses/ MOOC Training Course | PM.org] |
| − | * [ | + | * [https://info.usherbrooke.ca/hlarochelle/neural_networks/description.html Online Course on Neural Networks | Université de Sherbrooke - Hugo Larochelle] |
| − | * [ | + | * [https://sites.google.com/site/deeplearningsummerschool/home Deep Learning Summer School 2015 | Yoshua Bengio, Roland Memisevic, Yann LeCun] |
| − | * [ | + | * [https://www.class-central.com/course/coursera-neural-networks-for-machine-learning-398 Neural Networks for Machine Learning 2013 | University of Toronto - Geoffrey Hinton the godfather of deep learning] |
| − | * [ | + | * [https://www.cs.ox.ac.uk/teaching/courses/2014-2015/ml/index.html Machine Learning: 2014-2015 | Oxford - Nando de Freitas] |
| − | * [ | + | * [https://medium.freecodecamp.org/640-free-online-programming-computer-science-courses-you-can-start-in-september-f0bd3a184625 640+ Free Online Programming & Computer Science Courses | freeCodeCamp] |
| − | * [ | + | * [https://digitaldefynd.com/7-best-machine-learning-training-certifications/ 9 Best Machine Learning Certification & Training | Team Digital Defynd] |
| + | * [https://www.openculture.com/gcsearch?q=Artificial+Intelligence#gsc.tab=0&gsc.q=Artificial%20Intelligence Open Culture] best free cultural & educational media on the web | ||
==== YouTube ==== | ==== YouTube ==== | ||
| − | * [ | + | * [https://www.youtube.com/watch?v=KEB-w9DUdCw How to learn AI and ML in 2024 - A complete roadmap | Python Programmer] |
| + | * [https://www.youtube.com/watch?v=x1TqLcz_ug0 You need to learn AI in 2024! (And here is your roadmap) | David Bombal] | ||
| + | * [https://www.youtube.com/watch?v=1HpYwa52LeY Artificial Intelligence Advanced Course For 2023 | AI Training for Beginners | Simplilearn] | ||
| + | <youtube>1HpYwa52LeY</youtube> | ||
| + | * [https://www.youtube.com/watch?v=sRy26qWejOI&list=PLjy4p-07OYzulelvJ5KVaT2pDlxivl_BN Application of Deep Neural Networks | Washington University in St. Louis] | ||
<youtube>sRy26qWejOI</youtube> | <youtube>sRy26qWejOI</youtube> | ||
| − | * [ | + | * [https://www.youtube.com/watch?v=J7LqgglEfQw&list=PL9zFgBale5fug7z_YlD9M0x8gdZ7ziXen Introduction to AI | Well Academy] |
<youtube>J7LqgglEfQw</youtube> | <youtube>J7LqgglEfQw</youtube> | ||
| − | * [ | + | * [https://www.youtube.com/watch?v=JMUxmLyrhSk Artificial Intelligence Tutorial for Beginners | Edureka] |
<youtube>JMUxmLyrhSk</youtube> | <youtube>JMUxmLyrhSk</youtube> | ||
| − | * [ | + | * [https://www.youtube.com/watch?v=-ETQ97mXXF0 Data Science For Beginners | Edureka] |
<youtube>-ETQ97mXXF0</youtube> | <youtube>-ETQ97mXXF0</youtube> | ||
| − | * [ | + | * [https://www.youtube.com/watch?v=KNAWp2S3w94 Intro to Machine Learning (ML Zero to Hero) Series | Laurence Moroney - Google] |
| − | ** [ | + | ** [https://www.youtube.com/watch?v=VwVg9jCtqaU Google I/O'19] |
| − | ** [ | + | ** [https://colab.research.google.com/github/lmoroney/mlday-tokyo/blob/master/Lab1-Hello-ML-World.ipynb The Hello World of Deep Learning with Neural Networks] |
| − | ** [ | + | ** [https://codelabs.developers.google.com/codelabs/tensorflow-lab1-helloworld/#0 Learn Tensorflow 1: The Hello World of Machine Learning] |
<youtube>KNAWp2S3w94</youtube> | <youtube>KNAWp2S3w94</youtube> | ||
| − | * [ | + | * [https://www.youtube.com/watch?v=-ETQ97mXXF0 Python Machine Learning & AI Mega Course - Learn 4 Different Areas of ML & AI | Tech With Tim] |
<youtube>WFr2WgN9_xE</youtube> | <youtube>WFr2WgN9_xE</youtube> | ||
| − | * [ | + | * [https://www.youtube.com/watch?list=PLQVvvaa0QuDfKTOs3Keq_kaG2P55YRn5v&time_continue=1&v=OGxgnH8y2NM Practical Machine Learning Tutorial with Python | Harrison Kinsley] |
<youtube>OGxgnH8y2NM</youtube> | <youtube>OGxgnH8y2NM</youtube> | ||
= [[Code Royale]] = | = [[Code Royale]] = | ||
| − | * [ | + | * [https://playcoderoyale.com/ Code Royale] ...[https://github.com/csj/code-royale GitHub] |
* [[Gaming]] | * [[Gaming]] | ||
| Line 190: | Line 234: | ||
Sign up today: | Sign up today: | ||
| − | + | https://www.playcoderoyale.com | |
| − | + | * Calculus | |
| − | + | * Linear Algebra | |
| − | + | * Probability Theory | |
| − | + | * Statistics | |
| − | + | * Clustering Algorithms | |
| − | + | * Regression Algorithms | |
| − | + | * Classification Algorithms | |
| − | + | * Reinforcement Learning Algorithms | |
| − | + | * Python Programming. | |
<youtube>--vKhN53cMg</youtube> | <youtube>--vKhN53cMg</youtube> | ||
Latest revision as of 07:26, 16 June 2024
YouTube ... Quora ...Google search ...Google News ...Bing News
- How do I leverage Artificial Intelligence (AI)? ... Reading/Glossary ... Courses/Certs ... Education ... Help Wanted
- Math for Intelligence ... Finding Paul Revere ... Social Network Analysis (SNA) ... Dot Product ... Kernel Trick
- Microsoft Launches New AI Skills Training and Resources as part of Skill for Jobs Initiative | Kate Behncken - Linkedin
- The Best Data Science Curriculum — Class Central Career Guides | David Venturi - Class Central
- Here are 850+ Ivy League Courses You Can Take Right Now for Free | Dhawal Shah - freeCodeCamp
- Want to Become a Data Scientist? Part 1: 10 Hard Skills You Need | Nisha Arya - KDnuggets ... A quick 10-step hard skill guide on what you need to become a Data Scientist.
- AI Conferences | Google ... Cybersecurity Conferences
If you want something you’ve never had then you’ve got to do something you’ve never done.
Contents
Generative AI
- Introduction to Generative AI | Google
- Introduction to Large Language Models | Google
- Microsoft Azure AI Fundamentals: Generative AI | Microsoft
- Generative AI with Large Language Models | ...Courses | Coursera
- Generative AI Explained | Nvidia
- Generative AI | Meta
- Introducing Generative AI with AWS | Udacity
- Generative AI for Everyone | DeepLearning.ai
Natural Language Processing (NLP)
- Natural Language Processing | Coursera
- Natural Language Processing with Deep Learning | Stanford
- CS 124: From Languages to Information | Dan Jurafsky - Stanford
- Natural Language Processing | Higher School of Economics
- Deep Learning for Natural Language Processing | Oxford - Phil Blunsom
- Getting Started with Natural Language Processing with Python | Swetha Kolalapudi
- Natural Language Processing (NLP) Microsoft | Lei Ma, Roland Fernandez, Xiaodong He
- NVIDIA Deep Learning Institute
- A Code-First Intro to Natural Language Processing | fast.ai
- Natural Language Processing | Yejin Choi - University of Washington
- YSDA Natural Language Processing | Yandex Data School
- Natural Language Processing | National Research University Higher School of Economics
- Applied Natural Language Processing | David Bamman - UC Berkeley
- Advanced Methods in Natural Language Processing | Tel Aviv University
- Advanced NLP with spaCy | Ines Montani (of Explosion AI)
- Natural Language Processing | Kaggle
- Natural Language Processing Specialization | deeplearning.ai
Other Artificial Intelligence
Kaggle
- Kaggle Hands-On Data Science Education
- Python
- Intro to Machine Learning
- Intermediate Machine Learning
- Feature Engineering
- Deep Learning TensorFlow
- Machine Learning Explainability
- Natural Language Processing
- Intro to Game AI and Reinforcement Learning
- Learn with Google AI
- Learn TensorFlow and Deep Learning, without a Ph.D. | Google
- Deep Learning | Google
- Machine Learning Crash Course with TensorFlow APIs | Google
Microsoft
- Artificial Intelligence for Beginners - A Curriculum
- Microsoft AI School
- Microsoft Professional Program for Artificial Intelligence
- Play Video: Introduction to Artificial Intelligence (AI) | Microsoft
Amazon
NVIDIA
Intel
IBM
MIT
- Intro to TensorFlow | MIT
- Recommendation Systems with TensorFlow on GCP | MIT
- End-to-End Machine Learning with TensorFlow on GCP | MIT
- Introduction to Deep Learning | MIT
- Artificial Intelligence | MIT
- Deep Learning for Self-Driving Cars | MIT
Stanford
- Convolutional Neural Networks for Visual Recognition | Stanford
- Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization | Stanford
- Sequence Models | Stanford
- Convolutional Neural Networks | Stanford
- Structuring Machine Learning Projects | Stanford
Coursera
- Deep Learning Specialization | Andrew Ng
- Machine Learning | Stanford
- Machine Learning Specialization | University of Washington
- Natural Language Processing in TensorFlow | deeplearning.ai
- TensorFlow in Practice Specialization | deeplearning.ai
deeplearning.ai
- TensorFlow in Practice
- TensorFlow: Data and Deployment
- Deep Learning
- AI For Everyone
- Natural Language Processing Specialization
- AI For Medicine
- AI For Everyone
Class-Central
- Tensorflow courses
- Introduction to Deep Learning | Higher School of Economics
- Introduction to Reinforcement Learning | Higher School of Economics
- Machine Learning | Georgia Institute of Technology
- Deep Learning in Computer Vision | Higher School of Economics
- Deep Learning for Business | Yonsei University
- Cutting Edge Deep Learning For Coders | fast.ai and University of San Francisco
Udemy
- Deep Learning A-Z™: Hands-On Artificial Neural Networks | Kirill Eremenko, Hadelin de Ponteves
- Machine Learning A-Z™: Hands-On Python & R In Data Science | Kirill Eremenko, Hadelin de Ponteves
- Data Science, Deep Learning, & Machine Learning with Python | Frank Kane
- Complete Guide to TensorFlow for Deep Learning with Python | Jose Portilla
- Data Science and Machine Learning Bootcamp with R | Jose Portilla
- Scala and Spark for Big Data and Machine Learning | Jose Portilla
- Python for Data Science and Machine Learning Bootcamp | Jose Portilla
- Tensorflow 2.0: Deep Learning and Artificial Intelligence | Lazy Programmer Team
- Artificial Intelligence: Reinforcement Learning in Python | Lazy Programmer Team
- Artificial Intelligence for Simple Games | Jan Warchocki
Pluralsight
- Pluralsight Grow your machine learning skills...
- Deep Learning: The Big Picture | Matthew Renze
- Getting Started with Natural Language Processing with Python | Swetha Kolalapudi
- Deep Learning with Keras | Jerry Kkurata
- Building Classification Models with TensorFlow | Janani Ravi
- Play by Play: Machine Learning Exposed | Katharine Beaumont and James Weaver
- Building Regression Models Using TensorFlow | Vitthal Srinivasan
- Sentiment Analysis with Recurrent Neural Networks in TensorFlow | Janani Ravi
- Getting Started with Azure Machine Learning | Jerry Kurata
- Understanding Machine Learning | David Chappell
- Machine Learning and Microsoft Cognitive Services | Janani Ravi
- Understanding the Foundations of TensorFlow - Introducing TensorFlow : Traditional ML Algorithms | Janani Ravi
Future Learn
- Data Science in the Games Industry | University of Dundee
- Digital Skills: Artificial Intelligence | Accenture
- Applications of AI Technology | Taipei Medical University
Udacity
- Intro to TensorFlow for Deep Learning byTensorFlow
- Intro to Artificial Intelligence
- Become a Machine Learning Engineer
- Advancing Data & Analytics Potential Together: Adapt | Alteryx new graduates and unemployed data workers are granted access
Other Courses
- Introduction to Artificial Intelligence | Doug Rose - LinkedIn
- Deep Learning | NYU Center for Data Science
- fast.ai
- Neural networks in JavaScript - Brain.js | Robert Plummer
- Creative Applications of Deep Learning with TensorFlow | Kadenze
- Deep Learning with TensorFlow | Cognitive Class
- Deep Learning Fundamentals | Cognitive Class
- Artificial Intelligence (AI) | Columbia University
- CS188 Intro to AI | UC Berkeley
- MOOC Training Course | PM.org
- Online Course on Neural Networks | Université de Sherbrooke - Hugo Larochelle
- Deep Learning Summer School 2015 | Yoshua Bengio, Roland Memisevic, Yann LeCun
- Neural Networks for Machine Learning 2013 | University of Toronto - Geoffrey Hinton the godfather of deep learning
- Machine Learning: 2014-2015 | Oxford - Nando de Freitas
- 640+ Free Online Programming & Computer Science Courses | freeCodeCamp
- 9 Best Machine Learning Certification & Training | Team Digital Defynd
- Open Culture best free cultural & educational media on the web
YouTube
- How to learn AI and ML in 2024 - A complete roadmap | Python Programmer
- You need to learn AI in 2024! (And here is your roadmap) | David Bombal
- Artificial Intelligence Advanced Course For 2023 | AI Training for Beginners | Simplilearn
Code Royale
Code Royale is the world's 1st educational eSport. Learn Machine Learning. Make Friends. Win Cash Prizes. We've been developing the game for 4 months now specifically for this community, and this is the 1st real glimpse of gameplay. The future of Education isn't a boring textbook or an hour long lecture, it's a social game. I have big ambitions for this, we want this game to not only teach players Machine Learning but also help them gain employment opportunities at top tech companies like Google and Amazon. It's a free-to-play game for PC/Mac/iOS/Android and we're going to release an alpha version next month, so if you want to be one of the first to gain access to the game, join the waitlist today! | Siraj Raval
Sign up today: https://www.playcoderoyale.com
- Calculus
- Linear Algebra
- Probability Theory
- Statistics
- Clustering Algorithms
- Regression Algorithms
- Classification Algorithms
- Reinforcement Learning Algorithms
- Python Programming.
