This course aims to provide an introduction to the quantitative analysis of data, blending classical statistical methods with recent advances in computational and machine learning. You will cover key ...

Machine Learning Out-Of-The-Box The above-mentioned procedure seems quite complex and expensive for most organizations. Luckily, there is no need to reinvent the wheel.

During the second part of the course, you’ll gain an in-depth understanding of a variety of machine learning techniques that you can apply when analysing big data including regression, variable ...

Introduction to algorithms, machine learning and AI. The difference between the latest terms being bandied around the industry.

The advancement in technology in the past decade has been due to the introduction of Machine Learning. Today, Machine Learning has escalated Artificial Intelligence Revolution, be it in Fraud ...

Machine Learning Fundamentals. Machine Learning with Python: A Practical Introduction. Machine Learning with Python: From Linear Models to Deep Learning. PyTorch Basics for Machine Learning. It's ...

Introduction to Machine Learning (Google): Best for complete beginners. Google’s foundational courses are available in the Google Developers portal if you log in with an email address.

Cross-listed with DTSA 5509 Important Update: Machine Learning Specialization Changes We are excited to inform you the current Machine Learning: Theory and Hands-On Practice with Python Specialization ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...

In addition, the book includes an introduction to artificial neural networks, convex optimization, multi-objective optimization and applications of optimization in machine learning. About the Purdue ...