Datacast Episode 24: From Actuarial Science to Machine Learning with Mael Fabien

Datacast Episode 24: From Actuarial Science to Machine Learning with Mael Fabien

Maël is a Data Scientist at Anasen, a Y-Combinator Startup in Paris where he works on the automation of data exploration and feature extraction for textual data. He majored in Actuarial Science at the University of Lausanne and did a second Master in Data Science at Telecom ParisTech Engineering School. He is also a content writer for several blogs and a freelance Machine Learning instructor for 2 boot camps in Paris and Dakar. He is especially interested in applications of Machine Learning in the medical field.

Datacast Episode 23: Machine Learning for Finance with Jannes Klaas

Datacast Episode 23: Machine Learning for Finance with Jannes Klaas

Jannes is a data scientist at QuantumBlack and author of the book "Machine Learning For Finance". He previously studied financial economics at Oxford University where he wrote his thesis on the predictability of banking stress tests.

Recommendation System Series Part 3: The 6 Research Directions of Deep Recommendation Systems That Will Change The Game

Recommendation System Series Part 3: The 6 Research Directions of Deep Recommendation Systems That Will Change The Game

In this post and those to follow, I will be walking through the creation and training of recommendation systems, as I am currently working on this topic for Master Thesis. Part 3 addresses the limitations of using deep learning-based recommendation models by proposing a couple of research directions that might be relevant for the recommendation system scholar community.

Datacast Episode 22: Leading Self-Driving Cars Projects with Jan Zawadzki

Datacast Episode 22: Leading Self-Driving Cars Projects with Jan Zawadzki

Jan Zawadzki has 6 years of experience at a global consultancy and as a Data Scientist. Jan currently works in the realm of self-driving cars as a Project Lead Data Science for Carmeq GmbH, the innovation vehicle of Volkswagen AG. Jan is passionate about advancing the automotive industry through machine learning and sharing his knowledge in the fields of Business and Data Science. He is a top contributor to the “Towards Data Science” Publication on Medium. He is also a deeplearning.ai Ambassador, supporting the team around Deep Learning Luminary Andrew Ng.

Recommendation System Series Part 2: The 10 Categories of Deep Recommendation Systems That Academic Researchers Should Pay Attention To

Recommendation System Series Part 2: The 10 Categories of Deep Recommendation Systems That Academic Researchers Should Pay Attention To

In this post and those to follow, I will be walking through the creation and training of recommendation systems, as I am currently working on this topic for my Master Thesis. Part 2 provides a nice review of the ongoing research initiatives with regard to the strengths, weaknesses, and application scenarios of these models.

Datacast Episode 21: How To Be a Data Science Writer with Admond Lee

Datacast Episode 21: How To Be a Data Science Writer with Admond Lee

Admond is currently a Data Scientist at Micron focusing on Smart Manufacturing and AI. With his degree in Physics, Admond discovered and pursued his passion in data science and never looked back ever since. He is also an independent data scientist and consultant helping companies and digital marketing agencies achieve their marketing ROI using advanced social analytics and machine learning. Being a passionate writer who writes about data science, his data science work and experience have been featured by various publications, including KDnuggets, Medium, Tech in Asia, AI Time Journal and local business magazine.