Social And Emotional Learning Courses

Mathematics of Big Data and Machine Learning, IAP 2020

Explore artificial intelligence and machine learning with a focus on data handling challenges, covering topics from associative arrays to bio sequence cross-correlation and Kronecker graphs.

• YouTube
• 14 hours
• On-Demand
• Free Video

Data Augmentation for Image-Based Reinforcement Learning

Explores data augmentation techniques for image-based reinforcement learning, presenting a model-free algorithm and a self-supervised framework for visual continuous control tasks, achieving state-of-the-art results.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Computational Principles Underlying the Learning of Sensorimotor Repertoires

Explore computational principles of motor learning, focusing on context's role in memory activation and how statistical learning shapes object representations.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Diverse Data and Efficient Algorithms for Robot Learning

Explore diverse data collection and efficient algorithms for robot learning, focusing on large-scale approaches and reinforcement learning for deformable object manipulation.

• YouTube
• 56 minutes
• On-Demand
• Free Video

6.036 Introduction to Machine Learning

This course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction.

• Independent
• On-Demand
• Free Online Course

Mathematics of Big Data and Machine Learning

Explore the Dynamic Distributed Dimensional Data Model (D4M) to tackle Big Data challenges using graph theory, linear algebra, and databases. Apply this innovative approach to real-world problems in various fields.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Reflective Practice: An Approach for Expanding Your Learning Frontiers

Explore reflective practice to enhance professional learning, knowledge application, and innovation. Develop awareness of cognitive resources, framing techniques, and conceptual flexibility for improved practice and timely learning.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Data Analysis for Social Scientists

Learn data analysis techniques for social sciences, including probability, statistics, regression, experiments, and machine learning, with real-world applications and R programming instruction.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Matrix Calculus for Machine Learning and Beyond

Explore advanced matrix calculus techniques for machine learning, optimization, and large-scale computing. Learn holistic matrix approaches, generalized derivatives, and reimagined differentiation formulas.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Recent Progress on Foundation Model Supervision for Robot Learning

Discover how foundation models from non-robot domains can revolutionize robot learning, enabling automated task acquisition without extensive data collection or manual controller design.

• YouTube
• 53 minutes
• On-Demand
• Free Video

Machine Learning with Python

12 reviews

Explore machine learning with TensorFlow, covering neural networks, NLP, and reinforcement learning. Build practical projects and gain hands-on experience in various ML techniques.

• freeCodeCamp
• 300 hours
• On-Demand
• Free Certificate

Data Structures: An Active Learning Approach

5 reviews

Learn about high-performance data structures and supporting algorithms, as well as the fundamentals of theoretical time complexity analysis through an interactive online text.

• edX
• 10 weeks, 6-7 hours a week
• On-Demand
• Free Online Course (Audit)

Learning to Teach Online

9 reviews

Develop effective online teaching strategies, design engaging activities, and create impactful assessments. Learn to leverage technology for enhanced learning experiences and student engagement.

• Coursera
• 17 hours 57 minutes
• On-Demand
• Free Online Course (Audit)

Global Social Entrepreneurship

11 reviews

Develop and launch a social venture to create positive change globally. Learn from successful entrepreneurs, design your mission, structure your organization, and measure impact.

• Independent
• 6 weeks, 1-2 hours a week
• On-Demand
• Free Online Course

Learning from Data (Introductory Machine Learning course)

10 reviews

Comprehensive introduction to machine learning theory, algorithms, and applications, balancing mathematical foundations with practical insights for students from diverse backgrounds.

• Independent
• 10 weeks
• On-Demand
• Free Online Course