Andrew Ng, co-founder of Coursera and Deep Learning Expert, is launching a new specialization on Coursera. Details can be found at DeepLearning.ai or the Deep Learning Specialization Page. The specialization consists of 5 courses. They are free to audit and watch the videos. There is a fee to get graded assignments and receive a certificate of completion. The first course just started this week, so it is great time to start learning some deep learning.
The National Basketball Association is hosting an Analytics Hackathon.
Application are accepted until August 6, 2017 and the actual competition occurs on September 23-24, 2017. The competition has 2 focus areas:
- Basketball Analytics
- Business Analytics
The prizes for winning consist of:
- Lunch with NBA Commissioner
- A trip to the All-Star Game
- Tickets to a game of your choosing
To be eligible, you must be:
- At least 18 years old
- An undergraduate or graduate student
Daniel Kunin from Brown University created a totally stunning and interactive site named Seeing Theory. It provides a visual introduction to many concepts in statistics and probability. Definitely worth checking out and sharing with others.
Tip: it does not work well on mobile.
Karl Schmitt, Director of Data Sciences at Valparaiso University, has started a blog to share his experiences with building an undergraduate data science program. The blog is titled, From the Director’s Desk. Karl is regularly posting about textbooks, curriculum, visualizations and learning objectives from the perspective of an educator. Tons of great resources!
March 4, 2017 is Open Data Day.
Open Data Day is an annual celebration across the globe. Over 300 groups around the world schedule activities to use open data for their communities. See if there is a gathering in your area. Also, the focus this year is on:
- Open research data
- Tracking public money flows
- Open data for environment
- Open data for human rights
Monica Rogati, a legend in the data science space, recently provided some answers on Quora that are sheer internet gold.
Quora Answers by Monica Rogati
She answers questions involving:
- What is a data science advisor?
- Challenges of Building a data science team?
- Characteristics of a good data scientist?
- and more
They are filled with great advice.
Martin Zinkevich, Research Scientist at Google, just compiled a large list (43 to be exact) of best practices for building machine learning systems.
Rules of Machine Learning:
Best Practices for ML Engineering
If you do data engineering or are involved with building data science systems, this document is worth a look.