In this blog post, I would like to share the best practices to deploy machine learning models in production as efficiently as possible.
Datacast Episode 28: Excelling in Data Analytics with Vincent Tatan
Vincent Tatan is a Data and Technology enthusiast with relevant working experiences from Google LLC, Visa Inc., and Lazada to implement microservice architectures, business intelligence, and analytics pipeline projects. Vincent is a native Indonesian with a record of accomplishments in problem-solving with strengths in Full Stack Development, Data Analytics, and Strategic Planning. He has been actively consulting Singapore Management University’s Business Intelligence and Analytics Club, guiding aspiring data scientists and engineers from various backgrounds and opening up his expertise for businesses to develop their products. Vincent also opens up his one on one mentorship service to coach on landing your dream Data Analyst/Engineer Job at Google, Visa, or other large tech companies.
Recommendation System Series Part 4: The 7 Variants of Matrix Factorization for Collaborative Filtering
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 4 looks into the nitty-gritty mathematical details of matrix factorization, arguably the most common baseline model for recommendation system research these days.
Datacast Episode 27: Feature Engineering with Ben Fowler
Ben Fowler has been in the field of data science for over five years. In his current role at Southeast Toyota Finance, Ben leads the end to end model development process to solve the problem of interest. Ben holds a Master of Science in Data Science from Southern Methodist University, graduating in 2017. Following graduation, Ben has been a guest speaker to the SMU program multiple times. Additionally, Ben has spoken at the PyData Miami 2019 and PyData LA 2019 Conferences and has spoken multiple times at the West Palm Beach Data Science Meetup.
The 5-Step Recipe To Make Your Deep Learning Models Bug-Free
Datacast Episode 26: From Cognitive Neuroscience to Reinforcement Learning with Arthur Juliani
Arthur Juliani is a Senior Machine Learning Engineer at Unity Technologies, where he has worked as a founding member of the ml-agents GitHub project as well as the leader of the Obstacle Tower project. He is also currently a Ph.D. candidate in Cognitive Neuroscience at the University of Oregon, where he studies computation models of spatial representation learning in humans.
The 5 Concepts in Data Management That You Should Be Cognizant Of
2019 Annual Review: The Year of Steady Progress
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.
