**October 6, 2019**

**5 weeks of study, 2-5 hours/week average per course**

Adrian-Ioan Lita's account is verified. Coursera certifies their successful completion of Imperial College London Mathematics for Machine Learning Specialization.

Course Certificates Completed

Mathematics for Machine Learning: Linear Algebra

Mathematics for Machine Learning: Multivariate Calculus

Mathematics for Machine Learning: PCA

Eigenvalues And EigenvectorsPrincipal Component Analysis (PCA)Multivariable CalculusLinear Algebra

Earned after completing each course in the Specialization

Imperial College London

Taught by: David Dye, Samuel J. Cooper & A. Freddie Page

Completed by: Adrian-Ioan Lita by September 26, 2019

5 weeks of study, 2-5 hours/week

Imperial College London

Taught by: Samuel J. Cooper, David Dye & A. Freddie Page

Completed by: Adrian-Ioan Lita by October 4, 2019

6 weeks of study, 2-5 hours/week

Imperial College London

Taught by: Marc Peter Deisenroth

Completed by: Adrian-Ioan Lita by October 6, 2019

4 weeks of study, 4-6 hours/week

- AI for Everyone
- Introduction to TensorFlow
- Neural Networks and Deep Learning
- Algorithms, Part 1
- Algorithms, Part 2
- Machine Learning
- Machine Learning with Python
- Machine Learning Using Sas Viya
- R Programming
- Intro to Programming with Matlab
- Data Analysis with Python
- AWS Fundamentals: Going Cloud Native
- Google Cloud Platform Fundamentals
- Site Reliability Engineering
- Speak English Professionally
- The Science of Well Being
- Learning How to Learn
- Financial Markets
- Hypothesis Testing in Public Health
- Foundations of Everyday Leadership

- Deep Learning
- Python for Everybody
- Data Science
- Applied Data Science with Python
- Business Foundations
- Architecting with Google Cloud Platform
- Data Engineering on Google Cloud Platform
- Excel to MySQL
- Advanced Machine Learning
- Mathematics for Machine Learning
- Self-Driving Cars
- Blockchain Revolution for the Enterprise
- Business Analytics
- Excel Skills for Business
- Digital Marketing
- Statistical Analysis with R for Public Health
- Fundamentals of Immunology
- Anatomy
- Managing Innovation and Design Thinking
- Foundations of Positive Psychology