Data Science & Machine Learning Collaborative Learning Group

Serious Data Science is an ongoing data science and machine learning collaborative learning group. This is a group of dedicated learners interested in data science and machine learning. Our focus is on learning and building skills. We meet monthly for intensive discussions of learning materials chosen by the group. All participants have an opportunity to lead discussions / present material. The sessions include discussion and presentation of content and code (when applicable).

Serious Data Science is an ongoing data science and machine learning collaborative learning group. This is a group of dedicated learners interested in data science and machine learning. Our focus is on learning and building skills. We meet monthly for intensive discussions of learning materials chosen by the group. All participants have an opportunity to lead discussions / present material. The sessions include discussion and presentation of content and code (when applicable).

Serious Data Science is an ongoing data science and machine learning collaborative learning group. This is a group of dedicated learners interested in data science and machine learning. Our focus is on learning and building skills. We meet monthly for intensive discussions of learning materials chosen by the group. All participants have an opportunity to lead discussions / present material. The sessions include discussion and presentation of content and code (when applicable).

The April 9th session of Serious Data Science will be used to explore the option of taking an online course together rather than studying a specific book. The course we will explore is a graduate course at Standford University CS 231N Convolutional Neural Networks for Visual Recognition. You can find the course at http://cs231n.stanford.edu/ And, the course syllabus is available at cs231n.stanford.edu/syllabus.html Everyone should study through the first two lectures and come prepared to discuss the content as well as participate in making a final decision regarding our next focus of study. Serious Data Science is an ongoing data science and machine learning collaborative learning group. We just finished (at our March 12th session) studying "An Introduction to Statistical Learning with Applications in R" by James et al. There has been discussion over the past two months about what to study next. These are some of the options under consideration in addition to CS 231N. Top contenders: - "Deep Learning" by Goodfellow, Benio, Courville - "Python Data Science Handbook" by Jake VanderPlas - "Deep Learning, From Basics to Practice" by Andrew Glassner Other Suggestions - “Algorithms for Data Science” – Brian Steele, John Chandler, Swarna Reddy - "Mathematics of Big Data" by Kepner and Jananthan - "Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurélien Géron