Learn to build recommendation engines in Python using machine learning techniques.

Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

Create recommender systems using the Gaussian Mixture Model (GMM). Learn how to apply unsupervised machine learning algorithms to generate personalized recommendations based on user preferences and behavior in areas like e-commerce and media.

TensorFlow is the tool of choice for building deep learning applications. In this course, you'll learn how the neurons in neural networks learn non-linear functions, and how neural networks execute operations such as regression and classification.

This course covers important techniques such as ordinary least squares regression, moving on to lasso, ridge, and Elastic Net, and advanced techniques such as Support Vector Regression and Stochastic Gradient Descent Regression.

Building Flask applications is the first step, but the management of an existing application is another adventure. This course will teach you how to manage your Flask applications by implementing logging, unit testing, and proper error handling.

Implementing Event-driven Microservices Architecture in .NET 7

Implementing Event-driven Microservices Architecture in .NET 7

Implementing Event-driven Microservices Architecture in .NET 7

Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations.

Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations.

Learn to build simple models of market response to increase the effectiveness of your marketing plans.