Practical conference about ML, AI and Deep Learning applications
Machine Learning Prague 2018
– , 2018
They’re among us We are in The ML Revolution age
Machines can learn. Incredibly fast. Faster than you. They are getting smarter and smarter every single day, changing the world we’re living in, our business and our life. The artificial intelligence revolution is here. Come, learn and make this threat your biggest advantage.
- 1 000+ Attendees
- 3 Days
- 20 Speakers
- 8 Workshops
- 2 Parties
Satoshi KondoHead of the Image Recognition Group, Konica Minolta
Satoshi Kondo received his B.S., M.S., and Ph.D. degrees at Osaka Prefecture University, Japan in 1990, 1992, and 2005, respectively. He joined Matsushita Electric Industrial Co., Ltd. (now Panasonic Corporation) in 1992. He currently is head of the image recognition group at Konica Minolta. His research interests include the fields of computer vision, medical image analysis, and machine learning.
Jacob BiamonteAssociate Professor, Skolkovo Institute of Science and Technology
Jacob Biamonte is an American quantum physicist, quantum computer scientist, and professor at the Skolkovo Institute of Science and Technology. He is also the inaugural Lead of Skoltech’s Quantum Complexity Science Initiative. Biamonte has made several contributions to the theory and implementation of quantum computers. He was employed as one of the world’s first quantum software programmers at D-Wave Systems Inc. in Vancouver B.C., Canada. From this work, he published several celebrated proofs establishing the computational universality of specific quantum many-body ground states used in adiabatic quantum computing. He played a central role in developing aspects of contemporary quantum computing theory, including research recognized as pioneering the emerging field that unites quantum information with complex network theory and machine learning.
Amit SrivastavaDirector of Research Engineering, eBay
Amit Srivastava is the Director of research engineering in the New Product Division at eBay. He currently leads the eBay ShopBot and eBay Assistants initiatives, where he is exploring the application of cutting-edge artificial intelligence techniques to power multimodal and conversational experiences for eBay’s customers. His team focuses on the development and integration of algorithms in the areas of computer vision, speech recognition, machine translation, natural language understanding, knowledge base population and statistical inferencing, conversational dialog management, and natural language generation to develop e-commerce chatbots and digital assistants that will allow customers on multiple platforms to search and procure their version of perfect from eBay’s extensive product inventory.
Anna UkhanovaTechnical Program Manager, Google
Anna Ukhanova is one of Google’s research leads at the newly announced EMEA Research Center in Zurich, which focuses on machine learning research on a wide area of ML and AI related topics. Anna received a M.Sc. in Information and Communication Systems from St. Petersburg State University of Aerospace Instrumentation in Russia, and a Ph.D. in Computer Science from the Technical University of Denmark (DTU). She is a grantee of the Danish National Advanced Technology Foundation for research work in the field of visual perception.
Radim ŘehůřekMachine Learning & Search Expert, RaRe Technologies
Senior software developer and entrepreneur with a passion for machine learning, natural language processing, and information retrieval. Creator of Gensim – an open source Python library for topic modelling (word2vec, LDA, LSI). Building practical solutions for businesses for over a decade. Founder of RaRe Technologies, an R&D consulting company. He lives in SEA.
Etienne BernardLead Architect, Wolfram Research
Etienne Bernard is the manager of the machine learning team at Wolfram Research, where he focuses on developing machine learning functionalities for the Wolfram Language. His work aims to simplify the practice of machine learning in order to spread its usage. Etienne obtained a Ph.D. in physics from ENS Paris and worked as a postdoctoral scholar at MIT, where he designed Markov chain Monte Carlo algorithms to solve physics problems.
Jonáš AmrichData Scientist, Jumpshot
Jonas received his MS in AI from the Czech Technical University in Prague, where he was also a part of a research team working on problems in the field of natural language processing. He is now a data scientist at Jumpshot, where he develops models that enable companies to get insights from billions of clicks each day.
Branislav KvetonSenior Machine Learning Scientist, Adobe Research
Branislav Kveton is a senior machine learning scientist at Adobe Research in San Jose, California. He designs, analyzes, and applies algorithms that learn incrementally, run in real time, and converge to near optimal solutions as the number of training examples increases. Most of his recent work is focused on online learning of structured problems, such as learning to rank, combinatorial bandits, and reinforcement learning.
Jan RomportlChief Data Scientist, O2 Czech Republic
Jan Romportl leads the data science activities at O2 Czech Republic, where his team uses novel approaches to tackle telco big data with advanced ML techniques. Jan’s background is in university research of AI, natural language processing, and human cognitive enhancement.
Jan PichlResearcher, eClub Prague
Jan Pichl works as a researcher at eClub Prague where he leads a team of students participating in Amazon Alexa Prize competition. They have developed a conversational bot named Alquist, which is one of the three finalists in the Alexa Prize competition. He is also a Ph.D. student in Natural Language Processing at the Czech Technical University.
Leonie MueckDivision Editor, Public Library of Science
Leonie is the Division Editor for Physical Sciences at the open access publisher and open science advocacy organisation PLOS. She obtained her doctorate in quantum chemistry from the University of Mainz in 2013. After co-founding a student-led journal for negative and null results, she became interested in publishing and the Open Access movement. After graduation, she worked as a manuscript editor for the journal Nature Communications and moved to Nature in 2014. There, she commissioned and handled work on machine learning applications within her remit of fundamental and mathematical physics. She started at PLOS in 2017, where she has been tasked with building a physical sciences division at the journal PLOS ONE.
Michal ReinšteinChief Scientist, SpaceKnow
Michal Reinštein leads the research as the Chief Scientist at SpaceKnow, where he is responsible for the implementation and deployment of machine (deep) learning cloud-based solutions to automated analysis of satellite imagery. With a Ph.D. in aerospace and a track record of publications in robotics, he works as an assistant professor at the Czech Technical University in Prague, FEE, Dept. Cybernetics.
Antonín HoskovecResearcher, Seznam.cz
Antonín Hoskovec is a research programmer at Seznam.cz, where he focuses on exploiting various ML techniques for statistical modeling. He is also a Ph.D. student at the Czech Technical University in Prague, where he was previously awarded a Master’s degree in Mathematical Engineering.
Michael LanzettaPrincipal Software Engineer, Microsoft
Michael Lanzetta is a Principal Software Engineer at Microsoft with over 20 years of experience on projects involving Operations Research, Optimization, Forecasting, and recently Machine and Deep Learning. His background in multiple industries makes him well-suited for his current role - helping Fortune 100 companies realize business transformations using the power of Machine Learning and data at scale.
Charles ParkerVP Machine Learning Algorithms, BigML
Charles Parker is the Vice President of Machine Learning Algorithms at BigML. He holds a Ph.D. in Computer Science from Oregon State University. He was previously a research associate at the Eastman Kodak Company where he applied machine learning to image, audio, video, and document analysis. He also worked as a research analyst for Allston Holdings, a proprietary stock trading company, developing statistically-based trading strategies for U.S. and European futures markets. His current work for BigML is in the areas of deep learning and bayesian parameter optimization.
Have a great time Prague, the city that never sleeps
A unique capital where you can breathe centuries of history at every corner. We’ll take a tour to explore the sights, invite you to taste the best pivos (that’s beer in Czech) and bring you back to the present by clubbing with you the whole night!
Now the seat of the Czech Philharmonic, the Rudolfinum is a Neo-renaissance building associated with music and art since 1885 and only used for truly outstanding purposes. The comfort, acoustics, and design makes it the greatest venue in the whole of Europe and it’s available for us.
Alšovo nábřeží 12, Praha 1
Jungmannova 28/17, Praha 1
Now or never Tickets available soon
What You Get
- Practical and advanced level talks led by top experts
- 2 parties in the city with people from around the world. Let’s go wild!
- Traditional Czech food throughout the conference
We Know That A Little Party Never Killed Anybody
Friday party 19:00
La Loca Bar
Alšovo nábřeží 12, Praha 1
Saturday party 18:30
Alšovo nábřeží 12, Praha 1
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