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Machine Learning is still a quite new domain in the digital world. Many concepts, methods, pitfalls and principles need to be explored. The ML Principles track supports and invites the attendees of every skill level to find their way into new application areas by learning and understanding ML principles as presented by the speakers.
Ai4 is a first-of-it’s-kind large-scale forum for the adoption and development of artificial intelligence technology. By gathering leaders of enterprise from across industry, government organizations, disruptive startups, investors, research labs, academia, associations, open source projects, media and analysts, we are creating the largest and most influential arena for idea-sharing, AI.The Design Automation Conference will cover topics from electronic design automation to design on cloud, machine learning, embedded systems and more. Workshops will cover approximate computing, neuromorphic computing, and DA for quantum.Whether you're a local, new in town, or just passing through, you'll be sure to find something on Eventbrite that piques your interest. Eventbrite, and certain approved third parties, use functional, analytical and tracking cookies (or similar technologies) to understand your event preferences and provide you with a customized experience.
The Data Management Conference continues to bring a diverse group of industry professionals and speakers together to explore Data Science, Business Analytics, Natural Language Processing, Blockchain and Cryptography, Streaming Data Analytics, Business Intelligence, Data Management, Data Modeling, Data Architecture, Data Governance, Data Stewardship, Machine Learning, Artificial Intelligence.
Advances in machine learning (ML) have had a profound impact on a vast variety of applications across diverse fields. At Microsoft Research (MSR) New England, we are dedicated to advancing the state of the art of ML and actively pursue research across a wide variety of ML disciplines.
We are looking for a seasoned data science leader to head-up our machine learning team, and help us accomplish our mission of improving lives by learning from the experience of every cancer patient.
International Conference on Machine Learning and Data Mining in Pattern Recognition. Search within this conference. 2018 MLDM 2018. 15-19 July;. 2 Volumes; 2017 MLDM 2017. 15-20 July; New York, USA; Machine Learning and Data Mining in Pattern Recognition. 31 Papers; 1 Volume; 2016 MLDM 2016. 16-21 July; New York, USA; Machine Learning and.
Prof. Choromanska gave over 50 invited and conference talks and serves as a book editor (MIT Press volume), organizer of top machine learning events (workshops at conferences such as the International Conference on Neural Information Processing Systems), and a reviewer and area chair for several top machine learning conferences and journals.
Data Science Salon New York is the only vertically-focused industry conference series around applications in AI and Machine Learning in Media, Entertainment and Advertising. Data Science Salon connects data scientists in the places where they live and work.
Now in its fifth edition, rotating between the global financial hubs of NYC and London, a high level conference provides cutting edge sessions from asset managers and investment banks with plenary sessions in the mornings and three parallel streams each afternoon.
The MLOps NYC conference focuses on managing and automating machine learning pipelines, to bring data science into real business applications. The conference will go beyond theory, with industry leaders sharing painful machine learning experiences which involve running experiments at scale, versioning, delivery to production, reproducibility and data access.
H2O World New York 2019 is an interactive community event featuring advancements in AI, machine learning and explainable AI. Thousands of attendees from around the world watch sessions from the makers behind H2O.ai, leading academics, and our customer community.
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) will be held February 7-12, 2020 at the Hilton New York Midtown, New York, New York, USA. The program chairs will be Vincent Conitzer (Duke University, USA) and Fei Sha (University of Southern California, USA).
Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to its original goals. In deep learning, each level learns to transform its input data into a slightly more abstract and composite representation. Prev Next. 1. 2.
The 6th International Conference on Data Science and Machine Learning Applications is aimed to gather researchers and Applications developers from a wide range of Data Science related areas such as data analytics, computational intelligence, machine learning, deep learning, pattern recognition, databases, Big Data and Visualization.
Working from our New York City office, you’ll work on infrastructure that enables machine learning product teams to develop advanced deep learning and computer vision solutions that power exciting products and breakthrough interactive experiences for millions of Snapchatters across the world.
MLconf is a single-day, single-track machine learning conference event designed to gather the community to discuss the recent research and application of Algorithms, Tools, and Platforms to solve the hard problems that exist within organizing and analyzing massive and noisy data sets.