Social And Emotional Learning Courses

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

Databricks

Low-Code Machine Learning on Databricks with AutoML

Discover how to build, train, and deploy ML models using Databricks AutoML and low-code tools, empowering users of all expertise levels to create predictive analytics solutions.

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

Machine Learning 1 - 2020

Comprehensive introduction to machine learning fundamentals, covering probability theory, regression, classification, neural networks, clustering, and advanced topics like kernels and Gaussian processes.

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

Group Equivariant Deep Learning - 2022

Explore group equivariant deep learning, covering group theory, convolutional neural networks, steerable kernels, and equivariant graph neural networks for advanced machine learning applications.

• YouTube
• 8 hours
• Self-Paced
• Free Video

How Optimization for Machine Learning Works

Explore the fundamentals of optimization in machine learning through a comprehensive four-part video series, covering key concepts and techniques.

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

Code with Tomi

Build a Social Media App With Django

Learn to create a social media platform using Django, covering user authentication, post feeds, and like functionality in this comprehensive tutorial series.

• YouTube
• 3 hours 30 minutes
• Self-Paced
• Free Video

Learning Medical Statistics with Python and Jupyter Notebooks

Learn medical statistics using Python and Jupyter notebooks. Covers common tests, data analysis, and visualization techniques. Ideal for healthcare professionals seeking practical skills in statistical analysis.

• YouTube
• 6 hours
• Self-Paced
• Free Video