PPT-1 Large-Scale Machine Learning at Twitter

Jimmy Lin and Alek Kolcz Twitter Inc Presented by Yishuang Geng and Kexin Liu 2 Outline Is twitter big data How can machine learning help twitter Existing challenges Existing literature of largescale learning. to Speech . EE 225D - . Audio Signal Processing in Humans and Machines. Oriol Vinyals. UC Berkeley. This is my biased view about deep learning and, more generally, machine learning past and current research!. Pritam. . Sukumar. & Daphne Tsatsoulis. CS 546: Machine Learning for Natural Language Processing. 1. What is Optimization?. Find the minimum or maximum of an objective function given a set of constraints:. Machine Learning. Large scale machine learning. Machine learning and data. Classify between confusable words.. E.g., {to, two, too}, {then, than}.. For breakfast I ate _____ eggs.. “It’s not who has the best algorithm that wins. . via Brain simulations . Andrew . Ng. Stanford University. Adam Coates Quoc Le Honglak Lee Andrew Saxe Andrew Maas Chris Manning Jiquan Ngiam Richard Socher Will Zou . Thanks to:. Alon. Halevy, Peter . Norvig. and Fernando Pereira. Google. 2011. 10. 24. Eun. -Sol Kim. The miracle of the appropriateness of the language of mathematics for the formulation of the laws of physics is a wonderful gift which we neither understand nor deserve.. Concurrent Objects. -. Second Life, Twitter Systems, and . Molecular Dynamics Computing-. Akinori. . Yonezawa. Christmas Lecture. University of Tokyo, December 22, 2009. What is this talk all about?. Dr. Muireann O’Keeffe. Critical Perspectives on ‘Openness’ in Higher Education. SRHE: . The Digital University. Image . created in . W. ordle.net. EdD my thesis.. Let’s talk. If you . use open social networking sites for . Madan Musuvathi. . Visiting Professor, UCLA . Principal Researcher, Microsoft Research. Course Project. Write-ups due June 1. st. Project presentations . 12 presentations, 10 mins each, 15 min slack. Dr. Muireann O’Keeffe. Critical Perspectives on ‘Openness’ in Higher Education. SRHE: . The Digital University. Image . created in . W. ordle.net. EdD my thesis.. Let’s talk. If you . use open social networking sites for . . 2015. Erica Hann, . Sierra Institute for . Community and Environment. Social Media Strategies. SCALE. . and Social Media. SCALE is about sharing and learning from one another:. Successes . Challenges . Page 46 L istening to the voice of customers plays a prominent role in a customer-centric business strategy. But with the business environment’s increased complexity and dynamism for a customer- Dangers and Opportunities. Davide Faranda . CNRS – LSCE. M. Vrac, P. . Yiou. , F.M.E. Pons, A. . Hamid, G. . . Carella. , . C.G. . Ngoungue. . Langue, S. . Thao, V. . Gautard. IN2P3-IRFU. Context. Institute of High Energy Physics, CAS. Wang Lu (Lu.Wang@ihep.ac.cn). Agenda. Introduction. Challenges and requirements of anomaly detection in large scale storage systems . Definition and category of anomaly. Sylvia Unwin. Faculty, Program Chair. Assistant Dean, iBIT. Machine Learning. Attended TDWI in Oct 2017. Focus on Machine Learning, Data Science, Python, AI. Started with a catchy opening speech – “BS-Free AI For Business”.