Deep Learning by Google

Excellent course, which makes deep learning even more accessible to engineers and data scientists. Developed by the Google brain team in collaboration with Udacity. Go for it!

Bibliography

• James, Gareth, et al. An introduction to statistical learning. Vol. 112. New York: springer, 2013.
• Witten, Ian H., et al. Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann, 2016.

Some interesting reviews in our area

• Soueidan, Hayssam, and Macha Nikolski. “Machine learning for metagenomics: methods and tools.” Metagenomics 1.1 (2017).
• Wang, Lipo, Yaoli Wang, and Qing Chang. “Feature selection methods for big data bioinformatics: A survey from the search perspective.” Methods 111 (2016): 21-31.
• Corinne Walsh, Elías Stallard-Olivera and Noah Fierer. “Nine (not so simple) steps: a practical guide to using machine learning in microbial ecology” MBio 15.2 (2024)
• Asnicar, F., Thomas, A.M., Passerini, A. et al. “Machine learning for microbiologists“. Nat Rev Microbiol 22, 191–205 (2024)
• Our Guide to Online Machine Learning Courses, from AIFWD