The Author: Mr. Ekaba Bisong

Brief Background & Career

Ekaba is currently a Data Science Lead at T4G. He previously worked as a Data Scientist/ Data Engineer at Pythian. In addition, he maintains a relationship with the Intelligent Systems Labs at Carleton University with a research focus on Learning Systems (encompassing learning automata and reinforcement learning), Machine Learning, and Deep Learning. He is a Google Certified Professional Data Engineer, a Google Developer Expert in Machine Learning and author of the book Building Machine Learning and Deep Learning Models on Google Cloud Platform with Apress (Springer Nature) Publishers.

His research interests are in the theoretical and practical aspects of machine learning, the principles and algorithms that affect learning and how they are applied to specialized domains in making predictions, especially where there are rapid shifts in observable features as well as how mathematical principles, statistics and probabilistic reasoning can be applied to aid better decision making. He is also interested in researching the frontiers involving the synthesis of deep learning and reinforcement learning (what is now known as deep reinforcement learning), and how they can improve the learning task of an agent interacting in a non-deterministic, non-stationary environments (where exact mathematical analysis are no longer feasible), especially when the states of the environment are only partially observable.

Background

Ekaba is an old boy of Hope Waddell Training Institution (H.W.T.I), Calabar. Hope Waddel was established in 1894 and is the oldest school East of the Niger in Nigeria. Ekaba went on to complete his Bachelor degree in Computer Science at Babcock University in Ogun State. He later obtained his Masters Degree in Computer Science at Carleton University in Ottawa, Canada.