Difference between revisions of "Reading Material & Glossary"

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|title=PRIMO.ai
 
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|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS  
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|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
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|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=ai+Reading+Material+Glossary+ML+deep+machine+learning YouTube]
 
[https://www.youtube.com/results?search_query=ai+Reading+Material+Glossary+ML+deep+machine+learning YouTube]
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[https://www.bing.com/news/search?q=ai+Reading+Material+Glossary+ML+deep+machine+learning&qft=interval%3d%228%22 ...Bing News]
 
[https://www.bing.com/news/search?q=ai+Reading+Material+Glossary+ML+deep+machine+learning&qft=interval%3d%228%22 ...Bing News]
  
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* [[Math for Intelligence]]
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* [[How do I leverage Artificial Intelligence (AI)?]] ... [[Reading Material & Glossary|Reading/Glossary]] ... [[Courses & Certifications|Courses/Certs]] ... [[Education]] ... [[Help Wanted]]
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* [[Podcasts]]
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* [[Humor]] ... [[Writing/Publishing]] ... [[Storytelling]] ... [[AI Generated Broadcast Content|Broadcast]]  ... [[Journalism|Journalism/News]] ... [[Podcasts]] ... [[Books, Radio & Movies - Exploring Possibilities]]
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* [[Books, Radio & Movies - Exploring Possibilities]]
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* [[Math for Intelligence]] ... [[Finding Paul Revere]] ... [[Social Network Analysis (SNA)]] ... [[Dot Product]] ... [[Kernel Trick]]
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* [[How do I leverage Artificial Intelligence (AI)?#Help Wanted| Help Wanted]] ... careers in AI
 
 
* [https://paperswithcode.com/ Papers With Code] ... a free and open resource with Machine Learning papers, code, datasets, methods and evaluation tables
 
* [https://paperswithcode.com/ Papers With Code] ... a free and open resource with Machine Learning papers, code, datasets, methods and evaluation tables
 
* [https://www.connectedpapers.com/ Connected Papers] ... explore connected papers in a visual graph
 
* [https://www.connectedpapers.com/ Connected Papers] ... explore connected papers in a visual graph
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* [https://openlibrary.org/search/subjects?q=Artificial+Intelligence+&has_fulltext=true Open Library | Internet Archive] ...non-profit library of millions of free books, movies, software, music, websites, and more.
 
* [https://openlibrary.org/search/subjects?q=Artificial+Intelligence+&has_fulltext=true Open Library | Internet Archive] ...non-profit library of millions of free books, movies, software, music, websites, and more.
 
* [https://www.worldcat.org/search?q=su%3Aartificial+intelligence&fq=yr%3A2016..2050+%3E&qt=advanced&dblist=638 WorldCat | OCLC Online Computer Library Center, Inc.] ...world's largest network of library content and services
 
* [https://www.worldcat.org/search?q=su%3Aartificial+intelligence&fq=yr%3A2016..2050+%3E&qt=advanced&dblist=638 WorldCat | OCLC Online Computer Library Center, Inc.] ...world's largest network of library content and services
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* [[Courses & Certifications]]
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* [[Python]] ... [[Generative AI with Python|GenAI w/ Python]] ... [[JavaScript]] ... [[Generative AI with JavaScript|GenAI w/ JavaScript]] ... [[TensorFlow]] ... [[PyTorch]]
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* [[Python]]
 
 
** [https://blog.finxter.com/free-python-books/ 101+ Free Python Books | Christian]
 
** [https://blog.finxter.com/free-python-books/ 101+ Free Python Books | Christian]
 
** [https://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/Index.ipynb Python Data Science Handbook (Jupyter notebook)] | [[Creatives#Jake VanderPlas |Jake VanderPlas]]  - O'Reilly   
 
** [https://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/Index.ipynb Python Data Science Handbook (Jupyter notebook)] | [[Creatives#Jake VanderPlas |Jake VanderPlas]]  - O'Reilly   
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* [https://www.impromptubook.com/wp-content/uploads/2023/03/impromptu-rh.pdf Impromptu: Amplifying Our Humanity Through AI | Reid Hoffman] ... written with GPT-4
 
* [https://www.impromptubook.com/wp-content/uploads/2023/03/impromptu-rh.pdf Impromptu: Amplifying Our Humanity Through AI | Reid Hoffman] ... written with GPT-4
 
* [https://www.amazon.com/AI-Revolution-Medicine-GPT-4-Beyond The AI Revolution in Medicine: GPT-4 and Beyond | P. Lee, C. Goldberg, & I. Kohane]
 
* [https://www.amazon.com/AI-Revolution-Medicine-GPT-4-Beyond The AI Revolution in Medicine: GPT-4 and Beyond | P. Lee, C. Goldberg, & I. Kohane]
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= AI/ML Newsletters =
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* [https://github.com/swyxio/ai-notes/blob/main/Resources/Good%20AI%20Podcasts%20and%20Newsletters.md A live updating list of good AI/ML Newsletters | swyx]
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= Materials =
  
 
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=== Elementary Basic - fun book to learn programming ===
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= Elementary Basic - fun book to learn programming =
 
* [https://www.amazon.com/Elementary-Chronicled-Learning-Computer-Sherlock/dp/0394524233 Elementary Basic , as Chronicled by John H. Watson (Learning to Program Your Computer in Basic with Sherlock Holmes) | Henry F Ledgard and Andrew Singer]
 
* [https://www.amazon.com/Elementary-Chronicled-Learning-Computer-Sherlock/dp/0394524233 Elementary Basic , as Chronicled by John H. Watson (Learning to Program Your Computer in Basic with Sherlock Holmes) | Henry F Ledgard and Andrew Singer]
 
* [https://www.shift-society.org/hapop4/abstracts/lester.pdf What can a 1980s BASIC programming textbook teach us today? | Martin Lester]  
 
* [https://www.shift-society.org/hapop4/abstracts/lester.pdf What can a 1980s BASIC programming textbook teach us today? | Martin Lester]  
 
** [https://www.shift-society.org/hapop4/slides/lester.pdf ...slides | Martin Lester]
 
** [https://www.shift-society.org/hapop4/slides/lester.pdf ...slides | Martin Lester]

Latest revision as of 22:28, 5 December 2023

YouTube ... Quora ...Google search ... Amazon search ...Google News ...Bing News


Your life does not get better by chance, it gets better by change.- Jim Rohn


AI/ML Newsletters


Materials

Shan Carter - OpenVisConf 2018
LESSONS FROM A YEAR OF DISTILLING MACHINE LEARNING RESEARCH

How to read machine learning research-papers? | Applied AI Course
Bianca Aguglia 1. Fast scan of the paper. 2. Careful reading. Trying to understand the logic of the paper using your current level of knowledge. 3. Working out the things not understood in step 2. 4. Question the choices made by the author of the paper. Argue with the paper. 5. Full fledged understanding. Implement the paper. Read the abstract. What problem is the paper trying to solve? Read other sources (blog posts, Wikipedia, etc) to understand the tools and techniques used in the paper. ** Mark the things you don’t understand. Decide if it’s a paper you really want to understand so you can implement it. If yes, move on to step 3. Work out the advanced math. Read other research papers. Take notes and work out the problems yourself. Explain the paper to someone else (or yourself) Are there better choices? Are there errors in the paper?

How to Read a Research Paper
Ever wondered how I consume research so fast? I'm going to describe the process i use to read lots of machine learning research papers fast and efficiently. It's basically a 3-pass approach, i'll go over the details and show you the extra resources I use to learn these advanced topics. You don't have to be a PhD, anyone can read research papers. It just takes practice and patience.

Research to Code - Machine Learning tutorial
A lot of times, research papers don't have an associated codebase that you can browse and run yourself. In cases like that, you'll have to code up the paper yourself. That is easier said than done, and in this video i'll show you how you should read and dissect a research paper so you can quickly implement it programmatically. The paper we'll be implementing in this video is called Neural Style transfer, that applies artistic filters to an image using 3 loss functions. Its a great starting point, i'll demo it using code, animations, and math. Enjoy!

Elementary Basic - fun book to learn programming

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