'Machine learning' diaporamas de présentation

Protecting and Enhancing Our Humanity in an Age of Machine  Learning. Charis Thompson Chancellor’s Professor, UC Berkeley Professor, LSE. ABSTRACT and stakes.

CSE 546 Data Mining Machine Learning. Instructor: Pedro Domingos. Logistics. Instructor: Pedro Domingos Email: pedrod@cs Office: CSE 648 Office hours: Wednesdays 3:30-4:20 TA: Hoifung Poon Email: hoifung@cs Office: 220 Office hours: Mondays 1:30-2:20 Web: www.cs.washington.edu/546

Introduction to Pattern Recognition. What was that….?. Recognition Or Classification. Recognition Etymologically, the act of thinking again Involves “identifying” or “acknowledging” Classification Etymologically, the act of separating into groups

Predicting Length of Stay at WiFi Hotspots. Naveen Santhapuri. IBM T. J. Watson Research Formerly: Duke University jmanweiler@us.ibm.com. Bloomberg, Formerly: U. South Carolina, Duke naveenu@gmail.com. Justin Manweiler. Romit Roy Choudhury. Srihari Nelakuditi. Duke University

AI with Azure Machine Learning services: Simplifying the data science process. Daniel Schneider Principal Program Manager Seth Juarez Loud Talker. BRK2304 . agenda. building your first machine learning model working well with others

Introduction to Machine Learning. Laurent Orseau AgroParisTech laurent.orseau@agroparistech.fr EFREI 2010-2011 Based on slides by Antoine Cornuejols. Overview. Introduction to Induction (Laurent Orseau) Neural Networks Support Vector Machines Decision Trees

PubMed’s new relevance search Innovations in Information Retrieval Session 103. Nicolas Fiorini , Zhiyong Lu NCBI/NLM/NIH Twitter: #AMIA2017. Motivation. Improve PubMed’s relevance search Providing more relevant results Reducing users’ browsing time Better understand user needs

Data Mining Practical Machine Learning Tools and Techniques Slides for Chapter 10, Deep learning of Data Mining by I. H. Witten, E. Frank, M. A. Hall, and C. J. Pal. Introducing Deep Learning.

Representation Learning: A Review and New Perspectives. Yoshua Bengio , Aaron Courville , and Pascal Vincent. Aviv Zaharoni Roee Levy. Representation Learning: Intro What makes a good representation? Unsupervised learning Representation learning models: Probabilistic model – RBM

Machine Learning” Lecture 1. Dr. Alper Özpınar. Textbook. Main Textbook: Introduction to Machine Learning - Ethem Alpaydın ( 3rd Edition ) Supportive Materila Neural Networks and Learning Machines - Simon Haykin

Effective Statistical Energy Function Based Protein Un/Structure Prediction. Doctoral Dissertation Defense Date: 06/05/2019. Avdesh Mishra Computer Science Department, University of New Orleans Supervisor: Dr. Md Tamjidul Hoque. Research Summary.

Novel representations and methods in text classification. Manuel Montes, Hugo Jair Escalante Instituto Nacional de Astrofísica, Óptica y Electrónica, México. http://ccc.inaoep.mx/~mmontesg / http://ccc.inaoep.mx/~hugojair/ { mmontesg , hugojair } @ inaoep.mx

Impact of Observing Systems Project Overview. JCSDA IOS Team: F. Vandenberghe , S. Dutta. D. Hahn, H. Zhang, H. Shao Contributors : R. Langland, B. Ruston, R. Mahajan, A. El Akkraoui , C. Schwartz, B. Menetrier , G. Bolmier and the JEDI team.

Artificial Intelligence (AI) & Machine Learning (ML): Challenges and Opportunities for Health Care Kent Bottles, MD. Colorado MGMA Conference, September 13, 2019. The Four Industrial Revolutions. First (1760 to 1840): the steam engine

What’s New and What’s Coming…. The ever-evolving data platform Andy Roberts Data Platform Architect Microsoft. Transactional. SQL Server 2019 Azure SQL Database Managed Instance Azure SQL Database Hyperscale DB Azure SQL Database for MariaDB. SQL Server 2019 big data, analytics, and AI.

Architecture of ML Systems 09 Data Acquisition and Preparation. Last update: June 07, 2019. Announcements/Org. #1 Programming/Analysis Projects #1 Auto Differentiation #5 LLVM Code Generator #12 Information Extraction from Unstructured PDF/HTML

Autonomous Learning in Finance. AFP Learning Day April 24, 2019. David Frigeri | Practice Lead Advanced Analytics | David.Frigeri@slalom.com. Up to date view into the current Accounting and Treasury market for Artificial Intelligence (AI) Understanding of the different domains of AI

CSEP 546 Machine Learning. Lecturer: Geoff Hulten TAs: Alon Milchgrub , Andrew Wei. Logistics. Course website: https://courses.cs.washington.edu/courses/csep546/19au/ Canvas site: https://canvas.uw.edu/courses/1331659

Apache Spark. September 25 th 2017 Kyung Eun Park, D.Sc. kpark@towson.edu. Contents. Apache Spark Key Ideas Features. Spark as a full featured processing engine. Apache Spark: a new framework for distributed, in-memory data processing Spark is not a modified version of Hadoop

Machine Learning” Notes 2. Dr. Alper Özpınar. Training , Validating and Testing  Data.