Machine Learning Courses and Certifications

Python Lessons

Machine Learning Training Utilities - Build Custom OCR, ASR, and Object Detection Models with TensorFlow and PyTorch

Master TensorFlow and PyTorch through hands-on projects including OCR, handwriting recognition, ASR models, and YOLOv8 object detection with practical step-by-step tutorials.

• YouTube
• 4 hours 29 minutes
• Self-Paced
• Free Video

Machine Learning for Web Developers - Web ML

Discover how to integrate machine learning into web applications using TensorFlow.js, from pre-trained models to custom neural networks and transfer learning techniques.

• YouTube
• 7 hours 54 minutes
• Self-Paced
• Free Video

Machine Learning Foundations

Master machine learning fundamentals with TensorFlow, covering neural networks, computer vision, CNNs, and natural language processing through hands-on coding examples.

• YouTube
• 2 hours 11 minutes
• Self-Paced
• Free Video

Statistics and Machine Learning in R

If you want to do statistics and machine learning in R, this playlist is for you, and you only. No one else is allowed to watch it.

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

Introduction to Machine Learning for Coders

Learn essential machine learning concepts and techniques for coders, covering fundamental principles and practical applications across 12 comprehensive lessons.

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

Machine Learning for Forex and Stock Analysis and Algorithmic Trading

Learn machine learning techniques for pattern recognition in forex and stock trading, focusing on data analysis, algorithmic strategies, and automated prediction models.

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

NVIDIA Jetson Xavier NX Machine Learning Tutorials

Comprehensive tutorials on NVIDIA Jetson Xavier NX, covering setup, camera integration, object tracking, and face recognition. Ideal for beginners and advanced users in machine learning and computer vision.

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

International Centre for Theoretical Sciences

Artificial Intelligence in OBGYN Ultrasound by Suresh Seshadri

1 rating

Explore AI applications in OBGYN ultrasound imaging, focusing on advanced techniques for improved diagnosis and patient care in obstetrics and gynecology.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Databricks

Autonomous AI Agents in AI Infrastructure

1 rating

Explore building autonomous AI agents within scalable infrastructure, covering modular frameworks, resource optimization, and real-time decision-making for modern AI ecosystems.

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

Conf42

Why Good Models Fail After Deployment

1 rating

Discover why ML models fail in production through 5 key failure modes: data drift, concept drift, label drift, pipeline issues, and feedback loops. Learn monitoring and retraining strategies.

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

Train and Track ML Models with MLflow in Microsoft Fabric

1 rating

Explore MLflow integration in Microsoft Fabric for efficient machine learning model experimentation, tracking, and management using familiar notebook environments.

• YouTube
• 1 hour 1 minute
• Self-Paced
• Free Video

Mathematics of Big Data and Machine Learning, IAP 2020

2 ratings

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
• Self-Paced
• Free Video

Swimming Without a Lifeguard in the Ocean of Ideas - Abstraction and Unsupervised Deep Learning

Explore unsupervised deep learning techniques for discovering hierarchical latent feature spaces, improving interpretability and performance in downstream tasks, and bridging neural and symbolic learning systems.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Interdisciplinary Research and Education for a Computational Future

Explore predictive data science, combining data-driven and physics-based approaches to tackle complex societal challenges in science, engineering, and medicine. Discusses implications for interdisciplinary education.

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

Learning About Possibilities Through Scientific Models

Exploring how scientists use models to study possibilities, examining epistemic and alethic possibilities, and discussing implications for model construction, assessment, and interpretation in scientific research.

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