Exploratory Data Analysis for Machine Learning

Dr. Joseph Santarcangelo, a Data Scientist at IBM, brings a unique blend of academic excellence and practical expertise to the field of data science and artificial intelligence. With a Ph.D. in Electrical Engineering, his groundbreaking research focused on the intersection of machine learning, signal processing, and computer vision to understand how video content influences human cognitive processes. At IBM, he has established himself as a prominent educator and course developer, creating comprehensive learning materials that have reached hundreds of thousands of students worldwide. His teaching portfolio encompasses a wide range of technical subjects, from foundational Python programming to advanced topics in artificial intelligence, machine learning, and computer vision. Santarcangelo's ability to translate complex technical concepts into accessible learning experiences has made him an influential figure in data science education, maintaining consistently high ratings from learners while continuing to push the boundaries of applied machine learning and artificial intelligence research.

Svitlana (Lana) Kramar is a dedicated Data Science Content Developer at IBM, currently pursuing her Master’s Degree in Data Science and Analytics at the University of Calgary. With a strong commitment to making data science accessible, she focuses on creating educational content that empowers learners to harness the power of data analytics and machine learning. Lana enjoys traveling and immersing herself in new languages and cultures, which enriches her perspective on global data challenges. Her enthusiasm for teaching drives her to share innovative data science tools and techniques, aiming to improve everyday tasks and enhance overall quality of life. Through her work at IBM and contributions to online learning platforms, she continues to inspire others in the field of data science.