Datacast Episode 25: Algorithmic Trading with Alexandr Honchar

Datacast Episode 25: Algorithmic Trading with Alexandr Honchar

Alexandr Honchar is an AI practitioner and entrepreneur, made in Ukraine, living in Italy, working worldwide. He has a master's degree in mathematics from the University of Verona, Italy, and has been working in the AI field for the last 7 years. He has grown from a data scientist role to a founder and tech leader role for several companies. Lately, he founded Neurons Lab - an AI boutique where he pushes AI frontiers and builds, which are unique for the culture of freedom and creativity with other strong technical experts. Apart from business, he blogs at Medium about recent AI advances and gives talks at conferences and meetups across Europe.

The 4 Steps To Build Out Your Machine Learning Team Productively

The 4 Steps To Build Out Your Machine Learning Team Productively

In this blog post, I would like to share some insights into how to think about building and managing Machine Learning teams if you are a manager, and also possibly help you get a job in Machine Learning if you are a job seeker.

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.