Master dimensionality reduction techniques like PCA (Principal Component Analysis) and t-SNE. Learn how to reduce the complexity of large datasets, improve model performance, and visualize high-dimensional data with ease.

Machine Learning, What is machine learning ?, How machine learning works, Machine learning methods, Reinforcement machine learning, Deep learning and Real-world machine learning use cases

This talk compares a modern streaming architecture to traditional batch and big data alternatives and benefits.

Master machine learning fundamentals for retail analysis. Learn how to apply AI techniques to optimize inventory, pricing strategies, and customer insights to boost retail business performance.

Detailed machine learning, and deep learning concepts and case studies with implementation

Thanks to AI, modern apps are more interactive and intelligent than ever before. Microsoft's Cognitive Service APIs offer easy-to-use machine learning models that are trained on vast repositories of data to offer solutions for common use cases.

Acquire the skills needed to build and deploy machine learning models using Microsoft Azure's tools and services.

Understand the importance of machine learning explainability. Learn to interpret and explain complex ML models using techniques like SHAP, LIME, and other methods to ensure transparency and trust in AI predictions.

A complete guide to master machine learning concepts and create real world ML solutions

Understand the fundamentals of Machine Learning and how it's applied in the business world.

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

This course will explore the conceptual aspects of applying machine learning to problems in the financial services industry and discuss case studies of machine learning used in financial services.