World of Data: Machine Learning and Value Chain

Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.

Introduces the course structure and fundamental concepts of machine learning, including supervised learning and linear regression.

Provides an overview of deep learning concepts, focusing on data, model architecture, and challenges in handling large datasets.

Covers the fundamental principles and methods of machine learning, including supervised and unsupervised learning techniques.

Introduces the basics of machine learning, covering supervised and unsupervised learning, linear regression, and data understanding.