5. Fundamentals of TinyML Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML. https://
pll.harvard.edu/course/fundame
ntals-tinyml?delta=0
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AI
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Fundamentals of TinyML: Harvard Course on Embedded Machine Learning
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Reproducible Data Science: Statistical and Computational Tools
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4. Principles, Statistical and Computational Tools for Reproducible Data Science Learn skills to ensure you can trust your own research results, reproduce them yourself, and communicate them to others. https://
pll.harvard.edu/course/princip
les-statistical-and-computational-tools-reproducible-data-science?delta=3
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Harvard Probability Course: Essential Data Science Foundations
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3. Introduction to Probability Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty. https://
pll.harvard.edu/course/introdu
ction-probability-edx?delta=2
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Harvard’s CS50 Scratch Programming Course Introduction
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2. CS50's Introduction to Programming with Scratch A gentle introduction to programming that prepares you for subsequent courses in coding. https://
pll.harvard.edu/course/cs50s-i
ntroduction-programming-scratch?delta=0
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Harvard CS50: Introduction to Computer Science Course
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1. CS50: Introduction to Computer Science An introduction to the intellectual enterprises of computer science and the art of programming. https://
pll.harvard.edu/course/cs50-in
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Free Harvard Resources for Programming Data Science Machine Learning
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Don't pay ridiculous amounts of money to study Programming, Data Science, and Machine Learning. Learn these for FREE from the experts at Harvard university. (A thread)
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Freelancing opens new professional opportunities in tech economy
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Can't agree more Eddie! Freelancing opened up a new world of opportunities for me that I even wasn't aware of before.
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Comparative Visualization for AI Image Generation Solutions
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Will be good to prepare a comparative visualization for all the AI image generation solutions out there! Will start working on it soon!!
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Comparing Lexica Art with Another Creative AI Tool
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How is it compared to @LexicaArt
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Model Size Comparison: 900M Parameters and Mobile Feasibility Questions
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oh in that case, they said it was 900M, which is same size as stable diffusion, which can be run on phones. is that enough or any other notable unknowns?