Elevate your skills using SAS + keep pace with the most innovative tech. Join us on March 21 to learn more about the SAS Academy for Data Science. http://
2.sas.com/6012nYq6s #DataScientist
EDUCATION
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SAS Academy for Data Science: Elevate Your Skills March 21
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Coding Skills Become Critical as AI Demand Grows
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If less people learn to code, coding could become a hugely in demand skill in the future. People who know how to code will be the ones who can figure out why the AI is acting up and debug problems that AI might have created.
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Survey Paper Overview: Understanding LLM Architecture and Design
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If you want a resource for learning more about LLMs this survey paper provides a very nice overview. There’s several useful diagrams, including the one below which shows a breakdown of how LLMs are built.
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Deep Learning Cheatsheet 13-Page PDF Download Available
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Super #DeepLearning Cheatsheet (13-page PDF) by @afshinea and @shervinea => download it here: https://
linkedin.com/feed/update/ur
n:li:activity:7168400362196877312/
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#NeuralNetworks #AI #Algorithms #MachineLearning #DataScience #Mathematics #DataScientists -
Meta Llama 2 Prompt Engineering Short Course Launch
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New short course: Prompt Engineering with Llama 2, built in collaboration with Meta @AIatMeta, and taught by @asangani7! Meta's Llama 2 has been game-changing for AI. Building with open source lets you control your own data, scrutinize errors, update (or not) the models as you… pic.twitter.com/VVCkl93yzU
— Andrew Ng (@AndrewYNg) 28 février 2024New short course: Prompt Engineering with Llama 2, built in collaboration with Meta @AIatMeta
, and taught by @asangani7
! Meta's Llama 2 has been game-changing for AI. Building with open source lets you control your own data, scrutinize errors, update (or not) the models as you -
Wrap Up: Python, Machine Learning & LLMs Tutorials
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That's a wrap! Every day, I share tutorials and simplify complex topics around Python, Machine Learning & LLMs. Follow me → @Sumanth_077 to ensure you don't miss that. Like/RT the first tweet to support my work and help this reach more people.
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Essential Mathematics for Machine Learning: GitHub Repository Guide
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Probability, Statistics, Linear Algebra and Calculus. Checkout the Github Repo → http://
github.com/afshinea/stanf
ord-cs-229-machine-learning
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Stanford releases cheatsheets for ML, Deep Learning, Statistics, Linear Algebra
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Stanford University has released these cheatsheets on Machine Learning, Deep Learning, Statistics, and Linear Algebra. Use this as your reference next time working with them:
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Low-Code AI: Practical Machine Learning Project-Driven Introduction Book
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See the book "Low-Code #AI — A Practical Project-Driven Introduction to #MachineLearning" by Gwendolyn D. Stripling: https://
amzn.to/3OYKZOu
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Cybersecurity and Education Community Engagement Discussion
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Thank you Dear Jean, likewise too! Many thanks Sally #CyberSec #Security #education