Course Overview: The machine learning course will cover several important topics such as the motivation and current state-of-the-art applications of machine learning. Participants will also learn the basics of developing a complete machine-learning project lifecycle from data collection to project deployment. Familiarity with machine learning libraries and packages will also be emphasized. The course will specifically focus on supervised machine learning applications in classification and regression problems. Participants will be able to apply the concepts learned to a real-life case study involving the oil and gas industry where they will build and deploy machine learning models.
ThankGod Egbe Jnr is a highly experienced Machine Learning Engineer at CypherCrescent, with a proven track record
of delivering innovative AI solutions for real-world problems. His expertise in Machine Learning, Data Science,
and AI research, combined with his skills in Python programming, make him a valuable asset to any team.
ThankGod's passion lies in developing data-driven models that consider uncertainty in predictions, utilizing Probabilistic
and Bayesian inference techniques in deep neural networks. He takes pride in taking AI projects from conceptualization to
production, and he excels in the practical aspects of ML operations.
In addition to his technical skills, ThankGod is an expert in developing web-hosted applications using Python Flask API
on the Azure Cloud platform, which has resulted in the delivery of high-quality solutions for complex AI problems.
Moreover, ThankGod is a lifelong learner who is passionate about AI for the societal good. He constantly seeks out new
challenges and opportunities to apply exciting new research areas in AI. He loves to teach ML/DataScience related topics
that are project-based to beginners, and he has trained over 50 undergraduates and industry professionals in the field of
machine learning over the past 3 years.
Overall, ThankGod Egbe Jnr is a skilled and dedicated Machine Learning Engineer who is committed to delivering cutting-edge
solutions for real-world problems and sharing his knowledge with others.