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304 видео
What are regression trees?
Multi Head Attention Part 1: Basics and Python code
Python Sets | Set Methods
Coding the self attention mechanism with key, query and value matrices
R - Visualization 1 of 3 | Deep Dive into Visualization | ggplot | Data Transformation
Causal Self Attention Mechanism | Coded from scratch in Python
R Lec-7|Types of Graphs| Deep in Univariate Graph| Categorical & Quantitaive Data
Lecture 13: Introduction to the Attention Mechanism in Large Language Models (LLMs)
Lecture 12: The entire Data Preprocessing Pipeline of Large Language Models (LLMs)
How to write an impactful SOP? By MIT, Purdue PhDs
Can Small Language Models Save the Planet?
Generative AI for Absolute Beginners : Examples of Generative AI
Are we close to AGI? - Automatic Discovery of Agentic Systems
R Masterclass | Data Visualization | Time Series Graphs
Build an entire regression decision tree in Python
Making videos using AI: Introduction to Runway ML
Build Interactive Visualizers for Projects: An Introduction to Claude Artifacts
Coding the 124 million parameter GPT-2 model
Generative AI for Absolute Beginners : Generative AI vs Conventional AI
Modeling the greatest discovery in theoretical Physics with SciML | Chandrasekhar equation | NeurIPS
Lecture 4: What are transformers?
Longest Substring Without Repeating Characters | Leetcode 3 | Sliding Window Technique
Lecture 6: Stages of building an LLM from Scratch
Robotics kit training for school teachers
Lecture 2: Large Language Models (LLM) Basics
1 bit LLMs
Best AI tools for school teachers to make lecture content | By MIT, Purdue AI PhDs
Coding the entire LLM Transformer Block
Machine Learning in Production | ML Lessons from Duolingo, Uber, Netflix
What is LLM Quantization?
Deep Learning Optimization Bootcamp
Coding a Vision Transformer from scratch using PyTorch
GitHub repositories you should know about [Lecture 18]
ResNet Explained - Vanishing Gradients, Skip Connections, and Code Implementation | Computer Vision
Introduction to GitHub for beginners [Lecture 12]
Lecture 7: Code an LLM Tokenizer from Scratch in Python
Hands on Neural Networks Project: MNIST Fashion Dataset
Lecture 9 - Understanding SHAP | Explainable AI (XAI) | Shapley values | Interpreting black box ML
Physics behind ChatGPT
Matrix multiplication from scratch in Python | No NumPy, no libraries | Coding for ML [Lecture 29]
Graph Neural Networks (GNN) | Nodes, Edges, Adjacency Matrix, Message Passing, Aggregation explained
Let us start building a decision tree!
NLP Pipeline: Data Acquisition, Augmentation and Labelling | Module 3 | NLP from Scratch series |
UNet and its Family: UNet++, Residual UNet, and Attention UNet | Computer Vision Bootcamp
What is a repository in Git/GitHub? [Lecture 4]
Reverse an Array | Rotate an Array by D Places
A visual introduction to tokenization in LLMs | Byte Pair Encoding Algorithm
What exactly does version control mean in Git? [Lecture 3]
Lecture 9: Creating Input-Target data pairs using Python DataLoader
Lecture 4b - Multi-Arm Bandits | Reasoning LLMs from Scratch
