Meet the Captains steering the ship to Nigeria! 🌟 The Deep Learning Indaba is community-led, and every year, a dedicated team steps up to make the magic happen. We are thrilled to introduce the General Chairs for #Indaba2026! Bringing together a powerhouse of experience

This is literally the only book you need to master deep learning from scratch.

This is literally the only book you need to master deep learning from scratch

MIT is offering Books on AI & ML (ABSOLUTELY FREE): 1. Foundations of Machine Learning https://t.co/7g12fPu8aN 2. Understanding Deep Learning https://t.co/dUBDsx2Oxt 3. Introduction to Machine Learning Systems https://t.co/RjGHF3gOXX 4. Algorithms for ML

𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1) 1. Artificial Intelligence + Data Analyst 2. Machine Learning + Data Science 3. Cloud Computing + Web Development 4. Ethical Hacking + Hacking 5. Data Analytics + DSA 6. AWS Certified + IBM COURSE 7. Data Science + Deep Learning 8.

Forget Coursera. Forget Udemy. Forget paid guides. MIT just dropped 11 (free) guides: Get all official guides here: https://t.co/zQatbreQ6e 1. AI 101 Intro to AI concepts. Perfect for absolute beginners. Link: https://t.co/zkEbucrrQl 2. Introduction to Deep Learning Bootcamp

𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 2) 1. Artificial Intelligence + Data Analyst 2. Machine Learning + Data Science 3. Cloud Computing + Web Development 4. Ethical Hacking + Hacking 5. Data Analytics + DSA 6. AWS Certified + IBM COURSE 7. Data Science + Deep Learning 8. BIG

Machine Learning & Deep Learning

Knowledge distillation is a deep learning technique where a compact "student" model learns to replicate the performance of a larger, more complex "teacher" model. Introduced in the paper "Distilling the Knowledge in a Neural Network" by Hinton, Viny...

Most people use “agentic AI” to mean tools plus a model. That’s not where things break. They break when the system has to run on its own. A simple way to think about it is in layers: 1. AI/Machine learning Learns from data and produces decisions. 2. Deep learning Neural

Play isn’t just fun; it’s foundational to deep learning. As Dr. Nancy Sulla explains, play sparks curiosity, supports self-regulation, and fosters a true sense of belonging. Explore our blog for classroom-ready strategies: https://t.co/K6LSWbiTEV

6 must-read cheat sheets for AI Engineers by Stanford! These cover: - Supervised/Unsupervised ML - Deep Learning - ML Tips & Tricks - Probability & Statistics - Algebra & Calculus

1. The Python Machine Learning and Deep Learning Libraries: - mxnet - gluon - sklearn - xgboost

6. NVIDIA AI NVIDIA AI provides a suite of AI tools and platforms, including the NVIDIA Deep Learning AI platform, used across industries for developing deep learning models in areas like autonomous driving and healthcare. 🔗 https://t.co/Cot08YG9Q0

Thanks to the rise of AI tools, terms like machine learning, deep learning, and generative AI get thrown around a lot. And to really understand how LLMs and other tools work, you should know what they mean. In this guide, @nitheeshp discusses the differences between these three

Inteligencia Artificial vs Machine Learning vs Deep Learning ⬇️

Effortless learning is superficial learning, and life only rewards deep learners.

【PolyU develops novel AI graph neural network models to unravel interdisciplinary complexities in image recognition and neuroscience】 As an emerging technology in the field of AI, graph neural networks (GNNs) are deep learning models designed to process graph-structured data.