Machine
Learning
New course
Learn common machine learning algorithms.
Discover how the artificial intelligence is born and explore its history until its current application. The practical sessions on this course contain examples from the experts in the field to go further into the main concepts supporting by practical exercises.
In collaboration with:
Predict with data,
take informed decisions.
Course units
Unit 1: Introduction to Artificial Intelligence
1. What is AI?
2. Machine Learning Projects
3. Suprevised, unsupervised and reinforcement learning
Unit 2: Regression
1. Introduction to regression
2. Feature engineering and regularization
3. Modeling using computational graphs
4. Linear regression with TensorFlow
4. Linear regression with TensorFlow
Unit 3: Classification
1. Binary Classification
2. Logistic regression
3. Classification with TensorFlow
3. Classification with TensorFlow
Unit 4: Clustering
1. Unsupervised learning and clustering
2. K-means clustering hands-on
3. Hierarchical clustering
3. Hierarchical clustering
Meet your next expert
Roberto José Vázquez Lucerga
Roberto Vazquez Lucerga is a multilingual senior executive with extensive business management experience in the energy sector. He has a strong analytics-science background and ample field experience, having developed multiple greenfield projects for major corporations. He is an expert in business and innovation strategy, data analysis, operations, trading, and project management and has led multiple design, construction, and operation teams in the EU and SE Asia.
Sloan Fellow at MIT, with four Master Degrees (Engineering, Physics, Business Administration and Management of Technology).