Social And Emotional Learning Courses

Bryan Cafferky

Azure Databricks - Azure + Spark + Machine Learning

Explore Azure Databricks: Combine Azure, Spark, and machine learning. Learn key features through demonstrations and understand its advantages for big data processing and analytics.

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

Bryan Cafferky

The Azure Machine Learning Service - Introduction

Explore Azure ML Service's features for scaling, automating, and deploying machine learning pipelines. Learn how it enhances the data science process and addresses key challenges.

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

Unity

Unity for Humanity - Empowering Creators and Social Impact

Fireside chat exploring Unity's partnership with AIM Creative Arts School, emphasizing the importance of creators and education in making a positive impact on the world.

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

Unity

Democratize Machine Learning - ML-Agents Explained

Explore Unity ML-Agents: an open-source toolkit bridging Unity and machine learning. Learn about reinforcement and imitation learning techniques for innovative game development and AI applications.

• YouTube
• 42 minutes
• Self-Paced
• Conference Talk

Extern Code

Why Machine Learning Is Important - Learn Machine Learning - Machine Learning Algorithm

Explore machine learning fundamentals, algorithms, and applications. Gain insights into supervised and unsupervised learning, and practice with Microsoft Azure experiments.

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

Shashank Kalanithi

Machine Learning for Beginners - Data Scientists and Analysts

Comprehensive introduction to machine learning for data professionals, covering key concepts, techniques, and practical applications in business contexts, with hands-on coding examples.

• YouTube
• 2 hours 27 minutes
• Self-Paced
• Free Video

Shashank Kalanithi

Hands on Machine Learning - Unsupervised Learning

Explore unsupervised learning techniques including clustering, dimensionality reduction, and Gaussian mixture models. Hands-on implementation using Python libraries for data analysis and visualization.

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

Rob Mulla

Time Series Forecasting with XGBoost - Use Python and Machine Learning to Predict Energy Consumption

Learn to predict energy consumption using XGBoost and Python in this hands-on tutorial. Covers data preparation, feature engineering, model building, and forecasting techniques for time series analysis.

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

Strange Loop Conference

Machine Learning for Developer Productivity

Explore innovative ML-driven software productivity tools, their impact on developer efficiency, and industry experiences. Gain insights into code prediction, autocomplete advancements, and future possibilities.

• YouTube
• 43 minutes
• Self-Paced
• Conference Talk

Strange Loop Conference

Client Side Deep Learning Optimization with PyTorch

Explore real-time computer vision on mobile devices using PyTorch. Learn model porting, optimization techniques, and performance benchmarking for client-side deep learning applications.

• YouTube
• 35 minutes
• Self-Paced
• Conference Talk

Strange Loop Conference

Machine Learning for Relevance and Serendipity

Explore machine learning for personalized content discovery, featuring real-time relevance models, topical classification, and targeted serendipity in news recommendation systems.

• YouTube
• 39 minutes
• Self-Paced
• Conference Talk

Strange Loop Conference

Learning to Love JavaScript

Explore JavaScript's global impact, its role in web development, and why its imperfections may have contributed to its widespread adoption and enduring popularity.

• YouTube
• 36 minutes
• Self-Paced
• Conference Talk

Strange Loop Conference

Realtime Hybrid Reinforcement Learning at Scale

Explore hybrid reinforcement learning for next best action recommendations, addressing challenges in incomplete feedback, dynamic actions, complex objectives, and real-time decision-making at scale.

• YouTube
• 30 minutes
• Self-Paced
• Conference Talk

Strange Loop Conference

Explainable AI - The Apex of Human and Machine Learning

Explore the emerging field of Explainable AI, its importance in high-risk domains, and how it bridges the gap between human cognition and machine learning for more intuitive and understandable AI systems.

• YouTube
• 42 minutes
• Self-Paced
• Conference Talk

Strange Loop Conference

Federated Learning - Private Distributed ML

Explore federated learning for private, distributed machine learning across devices or entities, addressing data sharing constraints while enabling collaborative model training.

• YouTube
• 44 minutes
• Self-Paced
• Conference Talk