Teaching

Datacast Episode 96: Data Science Training and The Power of Education with Merav Yuravlivker

Datacast Episode 96: Data Science Training and The Power of Education with Merav Yuravlivker

Merav Yuravlivker is the Co-founder and Chief Executive Officer of Data Society. With over ten years of experience in instructional design, training, and teaching, she started her career teaching elementary special education in NYC public schools through the Teach for America program. She went on to join the International Baccalaureate Organization, where she developed deep expertise in online training, assessments, and recruitment. She also taught as a Kaplan GRE instructor, where she ranked as one of their top 10% instructors based on student surveys.

Merav found her passion for education and knew that she wanted to make an impact on an even larger scale. She recognized the importance of data literacy and began her data journey by learning how to program and design best practices for students during her free time. Six months later, she left her full-time job to focus on building Data Society along with her co-founders. Over the past seven years, she and her team have developed customized, industry-tailored data science training solutions that educate, equip and empower an organization’s workforce to achieve its goals and expand its impact.

Datacast Episode 92: Analytics Engineering, Locally Optimistic, and Marketing-Mix Modeling with Michael Kaminsky

Datacast Episode 92: Analytics Engineering, Locally Optimistic, and Marketing-Mix Modeling with Michael Kaminsky

Michael Kaminsky is the co-founder of Recast, a marketing optimization platform, and the co-founder of Analytics Engineers Club, a training course for data analysts looking to improve their engineering skills. He is passionate about helping organizations “make better decisions faster.” He has experience applying econometric research methods to environmental economics, child welfare policy, and medical treatment efficacy. He studies Spanish, reads, and pets dogs around Mexico City in his spare time.

Datacast Episode 81: Research, Engineering, and Product in Machine Learning with Aarti Bagul

Datacast Episode 81: Research, Engineering, and Product in Machine Learning with Aarti Bagul

Aarti Bagul is a machine learning engineer at Snorkel AI. Before Snorkel, she worked closely with Andrew Ng in various capacities: (1) at AI Fund helping build ML companies from scratch internally and investing in ML companies, (2) as an ML engineer at his startup Landing AI, (3) as head TA for his deep learning class CS230, and (4) as an assistant in his research lab at Stanford.

Aarti graduated with a master’s in Computer Science from Stanford, where she participated in the Threshold Venture and Greylock X fellowships. Before Stanford, she got her bachelor’s in Computer Science and Computer Engineering from NYU with the highest honors. During her time at NYU, she worked in David Sontag’s lab on machine learning applications to clinical medicine and at Microsoft Research as a research intern for John Langford (where she contributed to Vowpal Wabbit, an open-source project).

Datacast Episode 70: Machine Learning Testing with Mohamed Elgendy

Datacast Episode 70: Machine Learning Testing with Mohamed Elgendy

Mohamed Elgendy is a seasoned AI expert, who has previously built and managed AI organizations at Amazon, Rakuten, Twilio, and Synapse. In particular, he founded and managed Amazon's computer vision think tank. He is the author of the "Deep Learning for Vision Systems" book published by Manning in November 2020. Mohamed regularly speaks at many AI conferences like Amazon's DevCon, O'Reilly's AI, and Google's I/O.

Datacast Episode 66: Monitoring Models in Production with Emeli Dral

Datacast Episode 66: Monitoring Models in Production with Emeli Dral

Emeli Dral is a Co-founder and CTO at Evidently AI, a startup developing tools to analyze and monitor the performance of machine learning models. Earlier, she co-founded an industrial AI startup and served as the Chief Data Scientist at Yandex Data Factory. She led over 50 applied ML projects for various industries - from banking to manufacturing. Emeli is also a data science lecturer at St. Petersburg State Management School and Harbour.Space University. She is a co-author of the Machine Learning and Data Analysis curriculum at Coursera with over 100,000 students. She also co-founded Data Mining in Action, the largest open data science course in Russia.

Datacast Episode 60: Algorithms and Data Structures For Massive Datasets with Dzejla Medjedovic

Datacast Episode 60: Algorithms and Data Structures For Massive Datasets with Dzejla Medjedovic

Dzejla Medjedovic earned her Ph.D. in the Applied Algorithms Lab of the Computer Science department at Stony Brook University in 2014. Dzejla has worked on a number of projects in algorithms for massive data, taught algorithms at various levels, and spent some time at Microsoft. Dzejla is passionate about teaching, promoting computer science education and technology transfer. She now works as an assistant professor of Computer Science at the International University of Sarajevo.

Datacast Episode 47: Math and Machine Learning In Pedestrian Terms with Luis Serrano

Datacast Episode 47: Math and Machine Learning In Pedestrian Terms with Luis Serrano

Luis Serrano is a Quantum AI Research Scientist at Zapata Computing. He is the author of the book Grokking Machine Learning and maintains a popular YouTube channel to explain machine learning in pedestrian terms. Luis has previously worked in machine learning at Apple and Google, and at Udacity as the head of content for AI and data science. He has a Ph.D. in mathematics from the University of Michigan, a master's and bachelor's from the University of Waterloo, and worked as a postdoctoral researcher in mathematics at the University of Quebec at Montreal.

Datacast Episode 46: From Building Recommendation Systems To Teaching Online Courses with Frank Kane

Datacast Episode 46: From Building Recommendation Systems To Teaching Online Courses with Frank Kane

Frank Kane is the owner of Sundog Education, teaching machine learning and data science online to over 500,000 students worldwide. Before Sundog, Frank spent nine years at Amazon as a senior engineer and senior manager, specializing in recommender systems and running IMDb's engineering department. Frank also worked in the early days of video game development, dating back to the adventure games of Sierra Online in the early '90s, and has also developed computer graphics software for flight simulators and military simulators around the world. Today Frank is focused on the world of online education, living in the Orlando Florida area with his family.

Datacast Episode 45: Teaching Artificial Intelligence with Amita Kapoor

Datacast Episode 45: Teaching Artificial Intelligence with Amita Kapoor

Amita Kapoor is an Associate Professor in a college at the University of Delhi. She has 20+ years of teaching experience. She is the co-author of various best-selling books in the field of Artificial Intelligence and Deep Learning. A DAAD fellow, she has won many accolades, with the most recent Intel AI Spotlight award 2019 in Europe. As an active researcher, she has more than 50 publications in international journals and conferences. She is extremely passionate about using AI for the betterment of society and humanity in general.

Datacast Episode 12: Data Science in Consulting with Jim Leach

Datacast Episode 12: Data Science in Consulting with Jim Leach

Jim Leach is a data scientist, originally from the North of England, but now based in Atlanta, Georgia. After studying chemistry at university, Jim joined the consulting firm KPMG and began his career as a data analyst. He later returned to university, taking a sabbatical to study for a Master in Business Analytics at Imperial College, London. In his work, he is a passionate R user and developer and enjoys thinking about data visualization and how to communicate effectively using data. In his free time, he enjoys board games, music, cooking, and being outdoors.