Feature specific queries you want input on from senior researchers to tutorial good Q&A discussions.
Being a researcher, he also collaborates with Credit score Risk and Advertising groups for different ideation and proof-of-strategy growth initiatives. Before his present function during the AI investigation team, he built significant-scale machine learning and feature engineering frameworks for stolen id and stolen monetary devices fraud detection at PayPal. With various several years of research & educating working experience in machine learning and mathematical optimization, he normally takes eager desire in conducting AI workshops/bootcamps, talks and seminars to get a big selection of audiences.
In recognition of his information science knowledge, he has been invited to function an advisor and mentor to numerous startups, both equally in the Bay Region and abroad.
With in excess of 50 publications (and 4k+ citations) in different fields, Xavier is ideal recognized for his work on machine learning generally and recommender systems especially. He has lectured at distinctive universities both equally from the US and Spain, and advises startups and multinational firms on the use of ML to further improve solutions and firms.
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MLconf situations host speakers from different industries, research and universities. MLconf aims to build an atmosphere to discuss new study and application of Machine Learning methodologies and techniques and how they’re presently used in field.
By attending important ML conferences in 2024, you may also help publish the next enjoyable chapter while in the Tale of machine learning progress.
with emphasis on purposes together with novel algorithms and techniques. Subsequent the success of former ICMLA conferences, the conference aims to attract scientists and application builders from an array of ML associated spots, plus the latest emergence of massive Info processing provides an urgent need for machine learning to handle these new challenges.
Details Scientist Isabel is an information scientist having a give attention to AR/VR and addressing algorithmic bias in Personal computer eyesight and machine learning types.
She's enthusiastic about the ethics of know-how and the strength of AI for social superior. Her background consists of analysis in psychology and moral philosophy, and she or he been given an M.S. in Company Analytics from the College of William & Mary.
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Link with professors to find out very good starter conferences to focus on. Consider volunteering at their lab‘s booths.