News & Press

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SAN FRANCISCO, CA — (Marketwired) — 07/17/14 — Trifacta, a Data Transformation platform provider, today announced that CEO and co-founder, Joe Hellerstein, will discuss Trifacta’s research on domain-specific languages and how they can facilitate the data transformation process at the GraphLab Conference on Monday, July 21st. The session is titled, “Data, DSL and Transformation: Research and Practice.” Other speakers include Carlos Guestrin, founder and CEO of GraphLab, Milind Bhandarkar, chief data scientist of Pivotal, Josh Wills, director of data science of Cloudera.

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July 17, 2014

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SAN FRANCISCO, CA — (Marketwired) — 07/17/14 — Trifacta, a Data Transformation platform provider, today announced that CEO and co-founder, Joe Hellerstein, will discuss Trifacta’s research on domain-specific languages and how they can facilitate the data transformation process at the GraphLab Conference on Monday, July 21st. The session is titled, “Data, DSL and Transformation: Research and Practice.” Other speakers include Carlos Guestrin, founder and CEO of GraphLab, Milind Bhandarkar, chief data scientist of Pivotal, Josh Wills, director of data science of Cloudera.

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July 17, 2014

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The rise of sensors and connected devices will lead to applications that draw from network/graph data management and analytics. As the number of devices surpasses the number of people — Cisco estimates 50 billion connected devices by 2020 — one can imagine applications that depend on data stored in graphs with many more nodes and edges than the ones currently maintained by social media companies.

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July 9, 2014

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If you are working with graph data, GraphLab should pick your interest. It is building a machine learning analytics engine for graph datasets. Started in 2009 as an open source project by Carlos Guestrin, the software is used daily for millions of recommendations in popular consumer services. To continue and support the development of GraphLab, GraphLab Inc has raised $6,75M in 2013.

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June 17, 2014

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GraphLab Seeks to break attendance records for bringing together Machine Learning Experts and Data scientists for their third annual conference this July.

What started as a modest goal of bringing experts in graph analytics and large scale machine learning together is now in its 3rd year and takes the form of a full blown conference. We couldn’t be more grateful or prouder to bring you the GraphLab Conference 2014. Among this year’s attendance are data scientists, software engineers and big data analytics thinkers from the companies, academic institutions and organizations leading the way in this space.

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June, 2014

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The 3rd annual GraphLab Conference on Monday, July 21st started as a modest goal 3 years ago of bringing graph analytics and machine learning experts together to discuss the latest news. Fast forward 3 years and it is now the premier graph analytics event that is expected to attract over 900 Data Scientists, Software Engineers and Big Data Analytics Thinkers all converging in San Francisco at the Hotel Nikko.

The conference will include presentations from the Founders of Trifacta, DataPad and Databricks as well as Chief Scientists from Cloudera, Pivotal, Pandora, Google Research and more…

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May 30, 2014

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Webscale companies such as Facebook, Google, and Netflix have come clean about how they use graph processing to quickly reveal the seemingly disparate connections among people, places and things. And more use cases for graph databases emerged Monday at the 2013 GraphLab workshop in San Francisco.

But even though it became clearer what’s possible when data is organized in graphs — better e-commerce and Twitter follower recommendations and lighter infrastructure usage, for example — some speakers pointed to the need for graphs and machine learning to become easier to implement.

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July 5, 2013

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MLConf was going strong on Friday April 11 in New York City. This was the first ever MLConf happening in NYC, and it was met with a resounding success, so much that it quickly sold out. The conference was a full day packed with sessions around Machine Learning, and a good portion of the talks also talked about Big Data topics and how to apply this machine intelligence at very large scale.

This is another good indication that the field of Data Science is stronger than ever, and that today’s data scientists need a mix of two skills: traditional research skills with a background in mathematics and statistics, and more engineering skills to be able to work with the most popular Big Data frameworks…

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April 17, 2014

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ATLANTA, GA — (April 8, 2014) — HireIQ Solutions, the innovative leader in predictive analytics and virtual talent acquisition solutions for customer-facing organizations, today announced that Todd Merrill, the company’s chief technology officer, is presenting at the upcoming MLConf. Todd’s presentation will introduce the company’s approach to improving the employee selection process, especially for customer-facing positions, by predicting a job candidate’s likelihood of retention and on-the-job performance.

MLConf 2014 brings together many of the leading practitioners of advanced machine learning, big data and predictive analytics platforms, algorithms and applications for a one-day intensive networking session. Delegates will share best practices and hear about the latest innovations in machine learning. The program includes speakers from other leading machine learning and big data practitioners such as Google, Intel, Yahoo!, and Netflix. For further information about this year’s event, please visit: http://mlconf.com/

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April 8, 2014

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Machine learning and big data processing are ubiquitous in the operations of every modern company. New machine learning algorithms platforms and applications have emerged in industry and academia. Come and learn about the most fascinating advances in ML from the experts. The head of Google Research NY, Corinna Cortes will present the largest scale ML deployment, while Claudia Perlich a serial KDD cup champion will discuss her experience in practical machine learning. We’ll host a series of talks on bleeding-edge ML-platforms, like: H2o, Logicblox, Cloudera and Ayasdi. Samantha Kleinberg will present her new interesting results with inference from uncertain data in diabetes using continuous sensor data with a tie in to google glass. Animashree Anandkumar will introduce you to the world of tensors, teaching you how you to apply the use of tensors to solving machine learning problems.

Join us on Friday, April 11th in New York City for a full-day conference on Machine Learning. We’ll have Presentations from Google, Yahoo, Cloudera, Ayasdi, 0xdata, and many more.

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2014

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MLconf NYC 2014 Join us on Friday, April 11th in New York City for a full-day conference on Machine Learning. We’ll have Presentations from Google, Cloudera, Ayasdi, 0xdata, and many more. Follow @MLconf for updates, discounts and free tickets! MLconf is a meeting place for both academia and industry to discuss upcoming challenges of large scale machine learning and solution methods. Presentations from: Corinna Cortes, Head of Research, Google Josh Wills, Director of Data Science, Cloudera Ted Willke,Principal Engineer and GM of the Graph Analytics Operation, Intel Labs Edo Liberty, Research Scientist, Yahoo Justin Basilico, Senior Researcher/Engineer in Recommendation Systems at Netflix Claudia Perlich, Chief Scientist, Dstillery Pek Lum, Chief Data Scientist, Ayasdi Shan Shan Huang, VP Product Management, LogicBlox, Inc. Yael Elmatad, Data Scientist at Tapad Irene Lang, Math Hacker, 0xdata Anqi Fu, Data Scientist, 0xdata Samantha Kleinberg, Computer Science department, Stevens Institute of Technology Animashree Anandkumar, Electrical Engineering and Computer Science Dept, UC Irvine

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2014

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This past Friday 11/15, Sharethrough Engineering attended the 2013 MLConf here in San Francisco where Netflix, Twitter, Yelp and others presented on large-scale ML trends and challenges.

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November 22, 2013

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Join us on Friday, November 15th in San Francisco for a full-day conference on Machine Learning. We’ll have Presentations from Intel, Netflix, Twitter, Pandora, Google, Graphlab, Yelp, and many more. Follow @MLconf for updates, discounts and free tickets!

MLconf is a meeting place for both academia and industry to discuss upcoming challenges of large scale machine learning and solution methods. The conference will include presentations on Deep Learning, Recommender Systems, Collaborative Filtering and Matrix Factorization.

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November 15, 2013

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The Machine Learning Conference (MLconf) is this Friday, Nov. 15, in San Francisco. MLconf is a meeting place for both academia and industry to discuss upcoming challenges of large-scale machine learning and solution methods. This year will highlight the exploding machine learning field and those at the forefront of its design and application. The conference will include topics spanning the worlds of entertainment, education, technology, communication and finance.

CrowdFlower’s CEO, Lukas Biewald, is kicking off the day with a talk called, “Organizing Big Data with the Crowd,” that will discus how CrowdFlower is effectively leveraging the human intelligence of the crowd to solve problems related to collecting, categorizing and labeling vast amounts of data, resulting in better training of machine learning models and improved system performance.

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November 11, 2013

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MLConf 2013 will be held next week in SF.

is a meeting place for both academia and industry to discuss upcoming challenges of large scale machine learning and solution methods. The conference will include presentations on Deep Learning, Recommender Systems, Collaborative Filtering and Matrix Factorization. http://www.mlconf.com/mlconf-2013

 

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November 10, 2013


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