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 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
Embark on a journey into the world of Machine Learning with this foundational course designed to equip you with essential skills in data preparation and exploration. From data retrieval to cleaning and feature engineering, this course lays down the groundwork necessary for preliminary analysis and hypothesis testing, setting the stage for advanced machine learning applications.
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.
Coursera
Embark on the fifth course of IBM's AI Enterprise Workflow Certification Specialization, designed to equip you with essential skills in deploying AI models at an enterprise level. This course focuses on utilizing Spark effectively and integrating it into a seamless workflow. Ideal for those looking to enhance their data science capabilities and implement AI solutions efficiently within large organizations.
Coursera
Embark on an advanced journey with 'AI Workflow: AI in Production', where you'll learn how to effectively deploy AI models within enterprise settings. This course is part of the comprehensive IBM AI Enterprise Workflow Certification Specialization, designed for those who want to take their understanding and application of AI from theory to practice. Gain insights into model deployment strategies, monitoring techniques, and management best practices at a streaming media company scenario using IBM Watson Machine Learning.
Coursera
Embark on a strategic journey with 'The AI Ladder: A Framework for Deploying AI in Your Enterprise'. This course is designed for business and technical professionals aiming to incorporate Artificial Intelligence into their organizations effectively. Gain insights into the necessary requirements, terminologies, and concepts crucial for developing and deploying successful AI solutions.
Coursera
Embark on the second part of IBM's AI Enterprise Workflow Certification Specialization where you'll delve into advanced data analysis and hypothesis testing using artificial intelligence. This course builds upon foundational knowledge acquired in previous modules, equipping you with the tools to apply machine learning techniques effectively in real-world scenarios. Perfect for professionals aiming to enhance their analytical capabilities and decision-making processes.
Coursera
Dive into the third course of IBM's AI Enterprise Workflow Certification Specialization on Coursera. This comprehensive course builds upon previous knowledge and focuses on crucial aspects of AI workflows: feature engineering, managing class imbalances, and detecting bias in data. Designed for those committed to mastering advanced AI techniques, this course is ideal for professionals aiming to refine their skills in creating fair and effective machine learning models.