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 44: Computer Systems, ML Security Research, and Women in Tech with Shreya Shankar

Datacast Episode 44: Computer Systems, ML Security Research, and Women in Tech with Shreya Shankar

Shreya Shankar is a computer scientist living in the Bay Area. She is interested in making machine learning work in the real world. She currently works at Viaduct — an applied machine learning startup — but most recently, she researched at Google Brain. She graduated from Stanford University with a B.S. in computer science, concentrating on systems. She's finishing her M.S. in computer science, concentrating on artificial intelligence.

What I Learned From Attending #SparkAISummit 2020

What I Learned From Attending #SparkAISummit 2020

One of the best virtual conferences that I attended over the summer is Spark + AI Summit 2020, which delivers a one-stop-shop for developers, data scientists, and tech executives seeking to apply the best data and AI tools to build innovative products. I learned a ton of practical knowledge: new developments in Apache Spark, Delta Lake, and MLflow; best practices to manage the ML lifecycle, tips for building reliable data pipelines at scale; latest advancements in popular frameworks; and real-world use cases for AI.

Datacast Episode 43: From Economics and Operations Management to Data Science with Francesca Lazzeri

Datacast Episode 43: From Economics and Operations Management to Data Science with Francesca Lazzeri

Francesca Lazzeri, Ph.D., is an experienced scientist and machine learning practitioner with over 12 years of academic and industry experience. She is the author of several publications, including technology journals, conferences, and books. She currently leads an international team of cloud advocates and developers at Microsoft, managing an extensive portfolio of customers in the academic/education sector, and building intelligent automated solutions on the Cloud.

Before joining Microsoft, she was a research fellow at Harvard University in the Technology and Operations Management Unit. She is also an advisory board member of the Global Women in Data Science (WiDS) initiative, a machine learning mentor at the Massachusetts Institute of Technology and Columbia University, and an active member of the AI community.

Datacast Episode 42: Privacy-Preserving NLP with Patricia Thaine

Datacast Episode 42: Privacy-Preserving NLP with Patricia Thaine

Patricia Thaine is a Computer Science Ph.D. Candidate at the University of Toronto and a Postgraduate Affiliate at the Vector Institute researching privacy-preserving natural language processing, with a focus on applied cryptography. Her research interests also include computational methods for lost language decipherment.

She is the Co-Founder and CEO of Private AI, a Toronto- and Berlin-based startup creating a suite of privacy tools that make it easy to comply with data protection regulations, mitigate cybersecurity threats, and maintain customer trust.

Datacast Episode 41: Effective Data Science with Eugene Yan

Datacast Episode 41: Effective Data Science with Eugene Yan

Eugene Yan is a data scientist and writer. He works at the intersection of consumer data & tech to build machine learning systems to help customers and writes about effective data science, learning, and career. He's currently an Applied Scientist at Amazon, helping users read more and get more out of reading. Previously, he led the data science team at Lazada (acquired by Alibaba in 2016), working on e-commerce ML systems (e.g., ranking, automation, fraud detection).

Datacast Episode 40: Biological Aging, Probabilistic Programming, and Private Machine Learning with Matthew McAteer

Datacast Episode 40: Biological Aging, Probabilistic Programming, and Private Machine Learning with Matthew McAteer

Matthew McAteer is a Machine learning Researcher at FOR.ai. Before this, he got his career started in biological aging, before moving on to the mission of figuring out ways in which machine learning could be used on large amounts of noisy biomedical data. He has worked for many companies as a machine learning engineer and researcher, ranging from small startups to Google's TensorFlow team. His work on subjects like security and safety in machine learning has also been showcased at top conferences like ICML.