All current מדעי המחשב courses in 2024
3147 קורסים
Machine Learning in Drug Discovery - Modeling and Targeting Cell States in Cancer
Discover how machine learning techniques model and target cancer cell states to advance drug discovery and therapeutic development.
AI for Quantum - Toward AI-Enhanced Quantum Computing Applications
Explore how AI enhances quantum computing through generative models and accelerated algorithm development, featuring the innovative Generative Quantum Eigensolver approach.
Machine Learning for Absolute Beginners - Level 1
Discover foundational machine learning concepts, AI applications, and generative AI through hands-on examples, covering supervised learning, neural networks, and real-world challenges.
AI Data: Analyze, Govern, Plan
Master AI data pipeline diagnostics, governance standards, and workflow planning through real-world scenarios including GDPR compliance and bottleneck resolution.
Charting the Dark Chemical Universe with Deep Learning in Low-Data Scenarios
Explore deep learning applications for navigating the dark chemical universe in drug discovery scenarios with limited data availability.
RAG in Generative AI Explained Simply - How AI Finds Correct Answers
Discover how Retrieval-Augmented Generation (RAG) enhances AI accuracy by combining information retrieval with generative models to provide reliable, contextual answers.
Hacking AI Systems - How to Trick Artificial Intelligence
Explore adversarial AI attacks and learn how to exploit and defend against vulnerabilities in modern artificial intelligence systems through practical examples.
Machine Learning Meets QCD Meets Gravity
Explore how machine learning techniques intersect with quantum chromodynamics and gravitational physics in this specialized conference presentation.
Google Antigravity Tutorial for Beginners - Build Your First App Step-by-Step
Master Google Antigravity to build functional web apps using AI agents without coding from scratch. Create a Pomodoro timer through simple prompts and deploy it free.
Deep Learning for Natural Language - Transformers - Lecture 7
Explore Transformers architecture for natural language processing through practical airline travel examples in this MIT deep learning lecture.
Deep Learning for Natural Language - Transformers, Self-Supervised Learning - Lecture 8
Dive into transformers and self-supervised learning techniques for natural language processing in this MIT deep learning lecture.
Introduction to Neural Networks and Deep Learning - Training Deep Neural Networks - Lecture 1
Discover the foundations of neural networks and deep learning through MIT's comprehensive introduction covering field history, core concepts, and training methodologies.