Social And Emotional Learning Courses

MITCBMM

Connections Between Physics and Deep Learning

Explore the fascinating intersections of physics and deep learning, from neural networks to scale-invariant behavior, with insights from MIT's Max Tegmark.

• YouTube
• 52 minutes
• Self-Paced
• Free Video

MITCBMM

Learning in Recurrent Neural Networks

Explore recurrent neural networks, covering continuous and spiking models, effective connectivity, and philosophical implications in computational neuroscience.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

MITCBMM

Prof. Lorenzo Rosasco- Multiple Kernel Learning

Explore multiple kernel learning techniques with Prof. Lorenzo Rosasco, covering overlapping groups, vector notation, proxy operators, and more in this comprehensive lecture.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• Free Video

MITCBMM

The Learning Problem and Regularization

Explore the foundations of machine learning with Prof. Poggio, covering key concepts like generalization, consistency, and regularization in solving learning problems.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

MITCBMM

Kristen Grauman - Learning the Right Thing with Visual Attributes

Explore visual attribute learning techniques, including shared properties, transfer learning, and local approaches for fine-grained attribute differences in computer vision.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

MITCBMM

Tony Cohn - Simultaneously Learning and Grounding Object Features and Spatial Relations

Explore spatial information, qualitative relations, and inductive logic programming to understand object features and spatial relationships in various contexts.

• YouTube
• 26 minutes
• Self-Paced
• Free Video

MITCBMM

Theories for Intelligence - Lorenzo Rosasco: Learning Theory

Explore machine learning fundamentals, learning theory, and supervised learning techniques like nearest neighbor algorithms, with practical exercises and mathematical insights.

• YouTube
• 1 hour 40 minutes
• Self-Paced
• Free Video

Abhishek Thakur

Deep Learning for Survival Analysis

Explore deep learning models for survival analysis, applying them to predict time-to-event outcomes in various fields like credit, machinery, and healthcare with Louise Ferbach.

• YouTube
• 59 minutes
• Self-Paced
• Free Video

Abhishek Thakur

An Introduction to Transfer Learning in NLP and HuggingFace

Explore breakthroughs in NLP through transfer learning and Transformers. Discover HuggingFace's open-source tools for democratizing NLP research and development.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

Abhishek Thakur

What Are CycleGANs? - A Novel Deep Learning Tool in Pathology

Explore CycleGANs for unpaired image conversion, including applications in pathology and microscopy. Learn model architecture, training, and inference through code demos and real-world examples.

• YouTube
• 1 hour 28 minutes
• Self-Paced
• Free Video

Abhishek Thakur

How to Train a Deep Learning Model Using Docker

Learn to train deep learning models using Docker, NVIDIA runtimes, and PyTorch for melanoma classification on a single GPU, with practical code implementation and troubleshooting tips.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

Abhishek Thakur

Build a Web-App to Serve a Deep Learning Model for Skin Cancer Detection

Learn to build a Flask web app that serves a deep learning model for skin cancer detection, covering file uploads, predictions, and UI design with Bootstrap.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

Abhishek Thakur

Image Restoration Using Deep Learning - Dehazing

Explore image restoration using deep learning, focusing on dehazing techniques. Learn about neural networks, dynamic units, and advanced methods for enhancing hazy images.

• YouTube
• 1 hour 12 minutes
• Self-Paced
• Free Video

Abhishek Thakur

Intro and Building a Machine Learning Framework

Learn to build a reusable machine learning framework for tabular datasets, covering setup, training, and inference in a two-part video series.

• YouTube
• 47 minutes
• Self-Paced
• Free Video

Databricks

Unsupervised Machine Learning for Scaling Data Quality Monitoring in Databricks

Explore unsupervised ML algorithms for scalable data quality monitoring in Databricks, covering implementation, strengths, weaknesses, and practical applications for effective data management.

• YouTube
• 37 minutes
• Self-Paced
• Free Video