Category Archives: Site of the Week

Deep Learning Coursera Specialization

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.

Good Luck!

NBA Basketball Analytics Hackathon

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

Good Luck!

Site For Undergraduate Data Science Programs

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!

Quora Answers by Monica Rogati

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.

Best Practices for Machine Learning Engineering

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.