PPT-Microsoft Unlocks Business Value with Machine Learning

Author : test | Published Date : 2016-08-04

Val Fontama PhD Principal Data Scientist Derek Bevan Principal Software Architect Data amp Decision Sciences Group Data Science at Microsoft Summary Building Data

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Microsoft Unlocks Business Value with Machine Learning: Transcript

Val Fontama PhD Principal Data Scientist Derek Bevan Principal Software Architect Data amp Decision Sciences Group Data Science at Microsoft Summary Building Data Science team Agenda Covering the Analytics Spectrum. July 2014 , IDC # 249968 C ASE S TUDY Smartlogic Semaphore Sponsored by: IDC David Schubmehl Dan Vesset July 2014 IDC OPINION — in all its forms — and associated technologies, skills , Lecture . 4. Multilayer . Perceptrons. G53MLE | Machine Learning | Dr Guoping Qiu. 1. Limitations of Single Layer Perceptron. Only express linear decision surfaces. G53MLE | Machine Learning | Dr Guoping Qiu. 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 large-scale learning. http://hunch.net/~mltf. John Langford. Microsoft Research. Machine Learning in the present. Get a large amount of labeled data . . where . . Learn a predictor . Use the predictor.. The Foundation: Samples + Representation + Optimization. R/Finance. 20 May 2016. Rishi K Narang, Founding Principal, T2AM. What the hell are we talking about?. What the hell is machine learning?. How the hell does it relate to investing?. Why the hell am I mad at it?. COS 518: Advanced Computer Systems. Lecture . 13. Daniel Suo. Outline. 2. What is machine learning?. Why is machine learning hard in parallel / distributed systems?. A brief history of what people have done. By Namita Dave. Overview. What are compiler optimizations?. Challenges with optimizations. Current Solutions. Machine learning techniques. Structure of Adaptive compilers. Introduction. O. ptimization . Corey . Pentasuglia. Masters Project. 5/11/2016. Examiners. Dr. Scott . Spetka. Dr. . Bruno . Andriamanalimanana. Dr. Roger . Cavallo. Masters Project Objectives. Research DML (Distributed Machine Learning). Dan Roth. University of Illinois, Urbana-Champaign. danr@illinois.edu. http://L2R.cs.uiuc.edu/~danr. 3322 SC. 1. CS446: Machine Learning. Tuesday, Thursday: . 17:00pm-18:15pm . 1404 SC. . Office hours: . Microsoft Virtual Machine Converter Version 2.0. Overview. Free . to download tool. Standalone . tool supporting Hyper-v 2012 R2 and . VSphere. 5.5 and . above. Converts . VMWare virtual Machines to hyper-v with additional . Mikael Nystrom. Senior Executive Consultant. TrueSec. WCL321. MICROSOFT SOLUTION ACCELERATORS. Solution Accelerators provide tested guidance and automated tools to help you plan, securely deploy, and manage new Microsoft technologies. Geoff Hulten. Why do people Attack Systems?. Crime, espionage. For fun. To make money. Making Money off of Abuse. Driving traffic. Compromising personal information. Compromising computers. Boosting content. Bahrudin Hrnjica, MVP. Agenda. Intro to ML. Types of ML. dotNET and ML-tools and libraries. Demo01: ANN with C#. Demo02: GP with C#. .NET Tools – Acord.NET, GPdotNET. Summary. Machine Learning?. method of teaching computers to make predictions based on data.. UNC Collaborative Core Center for Clinical Research Speaker Series. August 14, 2020. Jamie E. Collins, PhD. Orthopaedic. and Arthritis Center for Outcomes Research, Brigham and Women’s Hospital. Department of .

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