Mark J. Grover is a member of the IBM Data & AI Learning team and specializes in creating and delivering online content. He comes to IBM from Cape Fear Community College in Wilmington, NC where he was a full time professor of computer technology. He was one of the coordinators for their Information Security program and taught courses in Computer Security, Network Administration, System Administration, and Microsoft Office. He was the lead Cisco instructor and faculty advisor to the school’s annual Cisco Netriders networking competition. During his tenure, he was recognized as a Cisco Instructor of Excellence – Expert level and was nominated for US Professor of the Year. Prior to teaching, Mark owned and operated a computer sales and service company for over 13 years. He then transitioned to a position working at the University of North Carolina Wilmington providing enterprise computer support, where he achieved the highest award for a staff member: The Award for Excellence in Innovation. Mark brings over 25 years of information technology experience to IBM. His passion includes camping, hiking, mountain biking, and spending time with his family. He is happily married and has two kids.
Coursera
Dive into the world of cutting-edge Machine Learning disciplines with our 'Deep Learning and Reinforcement Learning' course. Learn about Neural Networks, modern Deep Learning architectures, and apply these concepts to Supervised and Unsupervised Learning scenarios. This course is ideal for those looking to advance their skills in AI and machine learning.
Coursera
Dive into the world of specialized machine learning models with 'Specialized Models: Time Series and Survival Analysis'. This comprehensive online course will equip you with essential skills in forecasting and analyzing complex datasets that involve time components or censored data. Perfect for professionals looking to advance their predictive modeling expertise.
Coursera
Dive into the world of Supervised Machine Learning with our 'Supervised Learning: Classification' course. This hands-on program will teach you how to create powerful predictive models capable of categorizing data accurately. You'll learn about train and test splits, error metrics, and strategies for dealing with unbalanced classes.
Coursera
Dive into the world of Supervised Learning with our Regression course on Coursera. Master the art of predicting continuous outcomes by training effective models and using precise error metrics. Gain insights into best practices like splitting datasets for testing and applying regularization to enhance model performance.
Coursera
Dive into the world of Unsupervised Learning with this engaging online course. Gain expertise in extracting valuable insights from data sets without labeled variables, mastering essential clustering and dimension reduction algorithms along the way. Perfect for data enthusiasts and professionals aiming to unlock hidden patterns within their data.