Data Science and Machine Learning (Theory and Projects) A to Z: Part 04

The final installment, Part 4, culminates the Data Science and Machine Learning (Theory and Projects) A to Z series by exploring the advanced frontiers of deep learning. Building on the comprehensive skill set developed in Parts 1 through 3, this part zeroes in on Convolutional Neural Networks (CNNs) for image processing and Recurrent Neural Networks (RNNs) for analyzing sequential data. Learners will navigate through cutting-edge topics from the fundamentals of CNNs and RNNs to implementing practical projects like face verification and stock price prediction. This part equips participants with the expertise to tackle real-world AI challenges, synthesizing the knowledge and skills acquired throughout the course series into a formidable toolbox for data science and machine learning professionals.