ai_34df66614daf45c69b1731f2d2ab30f1.md.md

ai

Books

• Artificial Intelligence: A Guide for Thinking Humans

• AI Superpowers: China, Silicon Valley, and the New World Order

• https://twitter.com/Miles\_Brundage/status/1177999361118277635 + https://twitter.com/jennyhbren/status/1164099257378492416

• Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker’s Way

• An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013)

• Spinning Up in Deep Reinforcement Learning

• Machine Learning from Scratch

• https://www.linkedin.com/posts/arnuld-on-data\_how-id-start-learning-machine-learning-again-activity-6707557261012795392-nEG1

• https://github.com/lyhue1991/eat\_tensorflow2\_in\_30\_days

• https://mentorcruise.com/books/ml + https://news.ycombinator.com/item?id=23997301

• https://builtin.com/data-science/data-science-books + https://news.ycombinator.com/item?id=23936249

• https://twitter.com/EmilWallner/status/1314581326209613826

• The Hundred-Page Machine Learning Book by Andriy Burkov + https://news.ycombinator.com/item?id=25905899

• Data Science in Julia for Hackers

• Recurrent Attentive Neural Process for Time Series Clustering (Master Thesis)

• https://uxplanet.org/designer-friendly-resources-to-study-ai-and-machine-learning-1-6106e257faeb

• Learning Theory from First Principles

• https://andrewnc.github.io/blog/everyday\_data\_science.html

Course

• Unconventional Ways to Learn More Online

• https://ttumiel.github.io/blog/getting-into-ml

• https://github.com/CryptoSoc/fastai-lessons

• https://github.com/llSourcell/Learn\_Machine\_Learning\_in\_3\_Months

• https://github.com/llSourcell/Learn\_Deep\_Learning\_in\_6\_Weeks

• https://github.com/bnorbert/Courses/blob/master/History%20Of%20Computer%20Science%20Project/A\_brief\_history\_of\_Machine\_Learning.pdf

• https://www.freecodecamp.org/news/massive-tensorflow-2-0-free-course

• https://academy.infinite.red/p/ai-demystified-free-5-day-mini-course

• https://laconicml.com/free-artificial-intelligence-courses

• Deep Learning for Computer Vision

• https://www.fast.ai/2020/08/19/data-ethics + https://news.ycombinator.com/item?id=24213477

• JavaScript for Data Science

• https://www.freecodecamp.org/news/hands-on-data-science-course

• https://course.elementsofai.com

• https://www.freecodecamp.org/news/building-a-data-science-curriculum-with-advanced-math-and-machine-learning

• https://github.com/GoogleCloudPlatform/tensorflow-without-a-phd

• https://github.com/lexfridman/mit-deep-learning

Cinema

• RL Course by David Silver

• CS294-112 Fall 2017 (deep RL course)

• Two Minute Papers

• Machine Learning and Programming - Vivek Haldar

• Building a Machine Learning Based Web App Firewall/IPS from Scratch | Debasish Mandal + http://www.debasish.in/2020/10/videobuilding-machine-learning-based.html

Community

• Suzana Ilić: Twitter, Linkedin

• Brandon Rohrer: Twitter, Linkedin

• Chip Huyen: Twitter, Linkedin

• https://interestingengineering.com/robert-downey-jrs-series-on-ai-is-available-on-youtube-right-now

• Joscha Bach: Artificial Consciousness and the Nature of Reality

• Jürgen Schmidhuber

• https://twitter.com/svpino/status/1320722226069573634

• https://sararobinson.dev/2020/11/17/writing-a-technical-book.html

• Daniel Etzold

• Noor Siddiqui

• https://twitter.com/amitness/status/1288713405700780033

• Letiția Pârcălăbescu

• Machine Learning & User Experience (MLUX)

• Heather Knight

References

• https://twitter.com/binitamshah/status/1312760070183153665

• https://github.com/leandromineti/ml-knowledge-graph

• https://github.com/ZuzooVn/machine-learning-for-software-engineers

• https://github.com/zotroneneis/machine\_learning\_basics

• https://github.com/Avik-Jain/100-Days-Of-ML-Code

• https://towardsdatascience.com/natural-language-processing-for-web-developers-765be34b27d0

• https://github.com/abhat222/Data-Science–Cheat-Sheet/tree/master/Machine%20Learning

• Full-on machine learning for 2020, what are the best resources?

• https://github.com/leandromineti/awesome-healthmetrics

• https://theaisummer.com/Deep-Learning-Algorithms

• https://github.com/jivoi/awesome-ml-for-cybersecurity

• https://github.com/src-d/awesome-machine-learning-on-source-code

• https://github.com/mrdbourke/machine-learning-roadmap

• https://medium.com/javascript-in-plain-english/ml-for-js-devs-in-10-minutes-46794782762e

• https://twitter.com/EmilWallner/status/1301565902765293574

• https://github.com/AMAI-GmbH/AI-Expert-Roadmap

• https://towardsdatascience.com/a-learning-path-to-becoming-a-data-scientist-56c5c2e8ae3f

• https://github.com/dformoso/machine-learning-mindmap

• Visual Studio Code extension to quickly generate docstrings for Python functions using AI

• Learn OpenCV : C++ and Python Examples

• https://github.com/eugeneyan/applied-ml

• Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

• https://github.com/GokuMohandas/madewithml

• https://github.com/chiphuyen/machine-learning-systems-design

• https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

• https://github.com/hoya012/awesome-anomaly-detection

• https://github.com/alex-movila/My-Public-AI-Presentations

• https://www.notion.so/Rishabh-Anand-ceb23e08fecf4afb8732fe0f55039f90 + https://twitter.com/rishabh16\_/status/1366810566493310976

• https://github.com/Developer-Y/cs-video-courses\#image-processing-and-computer-vision

• Resources for conservation, development, and documentation of low resource (human) languages.

• https://github.com/terryum/awesome-deep-learning-papers

• A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

• https://github.com/firmai/industry-machine-learning

• https://github.com/aaronwangy/Data-Science-Cheatsheet

Tools

• Curated list of libraries for a faster machine learning workflow

• Recommender systems (or recommendation engines)

• Otto is an intelligent chat application, designed to help aspiring machine learning engineers go from idea to implementation with minimal domain knowledge.

• https://calv.info/gpt-3-real-magic + https://twitter.com/calvinfo/status/1286332337563684865

• Smart Upscaler can upscale images up to 3000x3000px.

• https://www.freecodecamp.org/news/building-a-habit-of-reading-research-papers

• End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

• HRI ’21: Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction

• AlephBERT, a Hebrew pretrained language model to start off your Hebrew NLP Application

Neural networks

• https://towardsdatascience.com/the-mostly-complete-chart-of-neural-networks-explained-3fb6f2367464

• https://github.com/amzn/computer-vision-basics-in-microsoft-excel

• https://github.com/AgaMiko/bird-recognition-review

• https://www.digitalocean.com/community/tutorials/how-to-trick-a-neural-network-in-python-3

• https://github.com/Kayzaks/HackingNeuralNetworks

CNN

• https://github.com/murari023/awesome-background-subtraction

Deep learning

• Background Matting is a project that uses deep learning to turn any background into a green screen with just a handheld camera.

• An educational resource to help anyone learn deep reinforcement learning.

• Reinforcement Learning + Deep Learning

Papers

• Software engineering for artificial intelligence and machine learning software: A systematic literature review

• Towards the First Machine Translation System for SumerianTransliterations

• https://github.com/louisfb01/Best\_AI\_paper\_2020

Demos

• https://github.com/emilwallner/Screenshot-to-code

• Using AI and machine learning to help with Quran memorization and recitation.

• An adblocker for live radio streams and podcasts. Machine learning meets Shazam.

• Search/personalization as a service to small-medium businesses && automation in screening

• Removing people from complex backgrounds in real time using TensorFlow.js in the web browser.

• Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

• Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy.

• AI Projects - Will Kwan

• https://github.com/cchen156/Learning-to-See-in-the-Dark

• https://medium.com/analytics-vidhya/sentiment-analysis-of-restaurant-reviews-542727dc24e2

• Build a DIY license plate reader with machine learning + https://news.ycombinator.com/item?id=24493248

• A curated list of awesome machine learning projects built with Google’s Teachable Machine.

• ML Art - A curated showcase of creative machine learning artworks and projects

• https://towardsdatascience.com/create-your-own-smart-baby-monitor-with-a-raspberrypi-and-tensorflow-5b25713410ca

• https://github.com/nashory/gans-awesome-applications

• [Automating my job by using GPT-3 to generate database-ready SQL to answer business questions(https://blog.seekwell.io/gpt3) + https://news.ycombinator.com/item?id=25930190

• https://einstein.digitalhumans.com

Opinions

• https://thinkml.ai/top-5-ai-achievements-of-2020

• https://www.hyro.ai/post/gpt-3-vs-existing-conversational-ai-solutions

• https://www.fastcompany.com/90590042/turing-test-obsolete-ai-benchmark-amazon-alexa

Security

• Unencrypted PCIe traffic, to leak DNN models.