Rust Programming Specialization

Predictive Modeling and ML with MATLAB

Gain a comprehensive understanding of NLP, machine learning, deep learning (including TensorFlow, CNNs, RNNs, and LSTMs), and deep learning to facilitate the development of models and data analysis.

AI Empowering Decision Makers

This course provides a comprehensive overview of AI applications, leadership skills, ethical considerations, and policy development for effective and responsible AI usage.

Convolutional Neural Networks

Gain skills in computer vision, convolutional neural networks, and AI applications through the Deep Learning Specialization to advance your career in AI technology.

The Nuts and Bolts of ML

Learn to distinguish between different types of machine learning, prepare data for model development, build and evaluate Python-based models for both supervised and unsupervised learning, and choose the right model and metric for a given algorithm.

Foundations of Data Science: K-Means Clustering in Python

Leverage Python programming skills to develop and analyze comprehensive clustering procedures, thereby mastering the fundamental concepts and operations of data clustering, with a particular emphasis on the K-means algorithm.