“When you write a short story,… you had better know the ending first” Isaac Asimov
AI / AIOPS
Click @ for links
- @ ML/AI/Data-MAD Landscape via Matt Turck (2023 version below – still the latest as of 5/15/23)
TRAINING
- @ BIG Dev Resources
- @ AI/ML Beginners Guide
- @ O’Reilly Online Training
- @ Analytics Vidhya Courses
- @ Machine Learning Guide
- @ R tutorial via DataCamp
- @ Coursera: Machine Learning (Ng)
- @ Coursera/Stanford: ML Syllabus
- @ Coursera: Neural Networks for Machine Learning (Hinton)
- @ DZone: 35 Free Online Books on Machine Learning
- @ Google: Machine Learning Glossary
- @ Hadoop training via MapR
- @ Hadoop with Python via Glennklockwood
- @ Practical Machine Learning with Python(sentdex)
- @ Oxford Deep NLP (Blunsom et al. 2017)
- @ Stanford CS231n: Convolutional Neural Networks for Visual Recognition (2016)
- @ Stanford CS224n: Natural Language Processing with Deep Learning (2017)
- @ Statistics How To: The Practical Statistics Handbook
- @ SQL tutorial via CodeAcademy & another via W3
- @ SQL Data Warehousingvia Linda.com
- @ Udacity: Machine Learning (Georgia Tech)
- @ Udacity: Intro to Machine Learning (Thrun)
- @ Udacity: Intro to TensorFlow for Deep Learning (TensorFlow)
- @ AI/ML in Practice: four sections: Machine Learning, NLP, Python, and Maths (Robbie Allen 2018 Edition)
TOOLS & OTHER MEDIA
- @ Agile Manifesto via the authors @AM.org
- @ Big Data Manifesto & The Big Data Institute
- @ Snowflake “Gen AI and LLMs for Dummies” (2024)
- @ Cheat Sheet of Machine Learning and Python (and Math) Cheat Sheets
- @ CISO: Garbage In, Garbage Out is NOT Why Machine Learning Fails
- @ DataRobot: Introduction to AI Storytelling
- @ Data Science for Security Professionals by Charles Givre for O’Reily Media
- @ DataStax Webcasts via DataStax
- @ Data Driven Webcasts via Firstmark
- @ DataBricks: Productionizing Machine Learning: From Deployment to Drift Detection
- @ Rabbit Hole List II : DL/NLP, ML, Python resources (Allen 2018)
- @ Rabbit Hole List I: researchers, academic work, social links, and more (Allen 2017)
- @ Data Science Weekly: Full List of Data Science Resources
- @ Qubole: AI and Data Analytics Resources
- @ AnalyticBridge: Data Science e-books, webinars, and resources
COMMENTARY
- @ 60 Minutes: AI Stories (2019-2023)
- @ FRONTLINE: In the Age of AI full film (2019)
- @ YT Original: How Far is Too Far? | The Age of A.I. (2019)
- @ DW: Artificial intelligence & algorithms: pros & cons (2019)
- @ TechCrunch: Beyond AI with Sam Altman and Greg Brockman (2019)
- @ Bloomberg: Y-Combinator’s Sam Altman Says AI Can Reset Global Equality (2018)
B.I.G.
CHAMPIONS MADE HERE