Incremental Development of PyMC Models
PyMC is a powerful tool for doing Bayesian statistics, but getting started can be intimidating. This article presents an example that I think is a good starting place, and demonstrates a method I use to develop and test models incrementally. Games like hockey and soccer are... Read more
2021 Top Trending Machine Learning Topics
Thanks to insights from our ODSC West researchers, attendees, and instructors we’ve pulled together some of the trending machine learning topics of 2021. We’re excited to host some of the leading experts and top contributors in each of these topics. Here are a few of our... Read more
Predicting the Myers-Briggs Type Indicator (MBTI) of Celebrities Based on Their Favorite Books
Personality prediction tools have been a beneficial and significant tool in the business world. Whether it’s about hiring employees or tailoring products as per a customer’s need, this tool is growing in popularity for fact-based decision-making. One such personality inventory used worldwide is Myers-Briggs Type Indicator... Read more
6 Applications of Bayesian Methods That You Should Know
As a data science professional, you likely hear the word “Bayesian” a lot. Whether it’s Bayesian Inference, Bayesian Statistics, or other Bayesian methods, knowing how to use and apply these methods is almost a necessity for any practicing professional. There are many different applications that one... Read more
Standout Artificial Intelligence Labs in India
As dynamic fields, what we can do with and how we apply data science and artificial intelligence is almost constantly changing and growing. Research institutions, in particular, contribute to the discovery of new innovations and applications. Right now, we are seeing a significant amount of interesting... Read more
Best Machine Learning Research of 2021 So Far
The start of 2021 saw many prominent research groups extending the state of machine learning science to consistently greater heights. In my efforts to keep pace with this accelerated progress, I’ve noticed a number of hot topics that are gaining the attention of researchers: explainable/interpretable ML,... Read more
Highlighting Artificial Intelligence Research Universities and Labs in the APAC Region
Research into data science and artificial intelligence is non-stop. As the world speeds up or slows down in other ways, there are always researchers looking to push the boundaries of what we can do with data, automation, and robotics. In the APAC region, including parts of... Read more
Optimizing PyTorch Performance: Batch Size with PyTorch Profiler
This tutorial demonstrates a few features of  PyTorch Profiler that have been released in v1.9. PyTorch. Profiler is a set of tools that allow you to measure the training performance and resource consumption of your PyTorch model. This tool will help you diagnose and fix machine learning performance issues regardless of whether you are working on one or... Read more
The Rapid Evolution of the Canonical Stack for Machine Learning
Just a few years ago, almost nobody was building software to support the surge of new machine learning apps coming into production all over the world.  Every big tech company, like Google, Lyft, Microsoft, and Amazon rolled their own AI/ML tech stack from scratch.  See the... Read more
Top 5 Applications of Machine Learning in Healthcare
Machine learning (ML) is a branch of artificial intelligence (AI), where computer systems independently find solutions to complex problems using recurring patterns in databases. Put differently, machine learning helps IT systems to recognize patterns from existing algorithms and datasets, then go ahead and develop appropriate solutions.... Read more