Love of learning

During my undergraduate days, I joked that I was in the major of the month club. Computer science was always there, but I took a bunch of Biology, Econ., and a bit of English Lit. Back then, I thought that learning should be purely driven by curiousity.

These days, the curious person is in luck. The academics of the world have produced an endless supply of on-line classes, lectures, papers, talks, and books; enough to fill several life-times with study on any topic.

Back in 2011, Andrew Ng’s Machine Learning class started a wave of online classes. I took that one and a bunch more since.

Note: Updated list here.

2011 Machine Learning Andrew Ng Coursera / Stanford
2012 Probabilistic Graphical Models Daphne Koller Coursera / Stanford
2012 Functional Programming Principles in Scala Martin Odersky Coursera / École Polytechnique Fédérale de Lausanne
2013 Data Analysis Jeff Leek Coursera / Johns Hopkins
2014 Statistical Learning Robert Tibshirani & Trevor Hastie Stanford
2014 Introduction to Functional Programming Erik Meijer EdX / Delft University of Technology
2015 Introduction to Big Data with Apache Spark Ameet Talwalkar EdX / UC Berkeley
2015 Scalable Machine Learning Anthony D. Joseph Edx / UC Berkeley
2016 Building the Data Pipeline Jason Kolter UW
2018 Deep Learning Andrew Ng Coursera / deeplearning.ai
2019 Applied Functional Programming in Haskell Wouter Swierstra Utrecht University
2019 Tensorflow Laurence Moroney Coursera / deeplearning.ai
2020 Functional Programming in Haskell Jeremy Singer & Wim Vanderbauwhede FutureLearn / University of Glasgow
2021 Deeplearning.ai Natural Language Processing Younes Bensouda Mourri & Łukasz Kaiser Coursera / deeplearning.ai