Social And Emotional Learning Courses

Amazon Web Services;  Amazon

Exam Readiness: AWS Certified Machine Learning - Specialty (Japanese) (日本語実写版)

AWSの機械学習専門家認定試験対策講座。データエンジニアリング、探索的データ分析、モデリング、MLの実装と運用について学び、試験準備に必要な知識とスキルを習得。

• AWS Skill Builder
• 4-5 hours
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

AWS Foundations: Machine Learning Basics (Simplified Chinese)

介绍机器学习基础概念、算法类型和应用流程,帮助初学者了解这一领域的核心知识和发展前景。适合开发人员和数据工程师等入门学习。

• AWS Skill Builder
• Self-Paced
• Free Certificate

Amazon Web Services;  Amazon

Machine Learning Exam Basics

Explore AWS machine learning services, from building and deploying models to deep learning. Learn from Amazon's scientists about ML business challenges and data processing in the ML pipeline.

• AWS Skill Builder
• 2 hours
• Self-Paced
• Free Certificate

JavaScript Mastery

Build and Deploy Your Own ChatGPT AI App in JavaScript - OpenAI, Machine Learning

Build an AI-powered chatbot with JavaScript, integrating OpenAI's GPT-3 for code assistance, translation, and programming help. Features an elegant UI resembling ChatGPT.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

JavaScript Mastery

Build and Deploy a Full Stack MERN Social Media App with Auth, Pagination, Comments

Learn to build a full-stack MERN social media app with authentication, pagination, comments, and more. Master industry-standard practices and deploy a responsive application.

• YouTube
• 7 hours 28 minutes
• Self-Paced
• Free Video

JavaScript Mastery

Build and Deploy a Modern Full Stack Social Media App

Build a full-stack social media app with advanced features like Google Auth, CRUD operations, and image sharing. Learn React, Tailwind CSS, and Sanity for content management in this comprehensive tutorial.

• YouTube
• 4 hours 44 minutes
• Self-Paced
• Free Video

Weights & Biases

Math for Machine Learning - Exercises: Probability

Hands-on exercises exploring probability concepts in machine learning, including entropy, cross-entropy, and Gaussian distributions, with practical applications and insights.

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

Weights & Biases

Probability - Math for Machine Learning

Explore core probability concepts for machine learning, including surprises, loss functions, and Gaussians. Gain insights into the mathematical foundations of ML algorithms.

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

Weights & Biases

Linear Algebra - Math for Machine Learning

Explore core linear algebra concepts essential for machine learning, including arrays, linear functions, and SVD, with practical applications and programming analogies.

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

David Shapiro ~ AI

AI Companions- Social Impact - How Tech Like ChatGPT, Virtual Companions, and Robots Will Change Us

Explore the societal impact of AI companions, virtual assistants, and robots, examining potential benefits and challenges for human relationships and personal growth.

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

AssemblyAI

PyTorch Crash Course - Getting Started with Deep Learning

Comprehensive introduction to PyTorch, covering tensor basics, autograd, linear regression, neural networks, and CNNs. Ideal for beginners in deep learning.

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

AssemblyAI

JAX Crash Course - Accelerating Machine Learning Code

Accelerate machine learning with JAX: Learn NumPy-like operations on CPU, GPU, and TPU, automatic differentiation, and high-performance techniques for ML research in this comprehensive introduction.

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

Keith Galli

Real-World Python Machine Learning Tutorial With Scikit Learn

Comprehensive Python machine learning tutorial covering sentiment analysis using scikit-learn, from data preparation to model evaluation and optimization, with practical examples using Amazon reviews.

• YouTube
• 1 hour 41 minutes
• Self-Paced
• Free Video

Data Professor

MLOps 101 - A Practical Tutorial on Creating a Machine Learning Project with DagsHub

Step-by-step tutorial on using DagsHub for machine learning projects, covering project creation, environment setup, remote storage configuration, version control, experiment tracking, and hypothesis exploration.

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

Data Professor

Build Your First Machine Learning Model in Python

Learn to build a machine learning model in Python using scikit-learn. Covers data loading, splitting, model building with linear regression and random forest, comparison, and visualization.

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