Machine Learning University
8.4만
구독자
51
영상
최근 영상
Building Apps with Foundation Models - Lesson 1: LangChain Modules and Integration
Responsible AI - Lesson 4: Improving Security and Safety
Building Apps with Foundation Models - Lesson 5: Multimodal Applications
Building Apps with Foundation Models - Lesson 2: Developing Conversational Applications (Chatbots)
Responsible AI - Lesson 2: Foundations of Responsible AI
Building Apps with Foundation Models - Lesson 4: Agents
Responsible AI - Lesson 1: Evaluating Large Language Models
Building Apps with Foundation Models - Lesson 3: Retrieval Augmented Generation (RAG)
Responsible AI - Lesson 3: Dimensions of Responsible AI
ML Through Application - Module 1, Lesson 2: ML Types & Successful ML Problem Aspects
ML Through Application - Module 1, Lesson 3: Examples of ML Applications
ML Through Application - Module 1, Lesson 1: Jupyter and SageMaker
ML Through Application - Module 1, Lesson 0: Introduction to ML
ML Through Application - Module 1, Lesson 4: ML Lifecycle and Overfitting & Underfitting
Deep Learning to Text and Image Data - Module 1, Lesson 3: First Examples of Neural Networks
ML Through Application - Module 2, Lesson 3: Tree-Based Models
Deep Learning to Text and Image Data - Module 1, Lesson 2: How Neural Networks Learn
Deep Learning to Text and Image Data - Module 3, Lesson 3: Convolutional Neural Networks
Deep Learning to Text and Image Data - Module 2, Lesson 1: Challenges of Textual Data & NLP Domains
Deep Learning to Text and Image Data - Module 2, Lesson 6: Transformers
Deep Learning to Text and Image Data - Module 3, Lesson 2: The Concept of Convolution
Deep Learning to Text and Image Data - Module 2, Lesson 3: Word Embeddings
ML Through Application - Module 2, Lesson 5: Hyperparameter Tuning
Deep Learning to Text and Image Data - Module 3, Lesson 5: Modern Architectures
Deep Learning to Text and Image Data - Module 3, Lesson 6: Transfer Learning
ML Through Application: Course Summary
ML Through Application - Module 2, Lesson 4: Optimization, Regression Models, & Regularization
ML Through Application - Module 3, Lesson 4: Bias Mitigation
Deep Learning to Text and Image Data - Module 1, Lesson 0: Intro to Deep Learning on Text and Images
ML Through Application - Module 2, Lesson 6: Ensembling