'Machine learning' diaporamas de présentation

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Protecting and Enhancing Our Humanity in an Age of Machine  Learning

Protecting and Enhancing Our Humanity in an Age of Machine  Learning

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

By sandra_john
(307 views)

CSE 546 Data Mining Machine Learning

CSE 546 Data Mining Machine Learning

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

By HarrisCezar
(554 views)

Introduction to Pattern Recognition

Introduction to Pattern Recognition

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

By issac
(295 views)

Justin Manweiler

Justin Manweiler

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

By Jims
(186 views)

AI with Azure Machine Learning services: Simplifying the data science process

AI with Azure Machine Learning services: Simplifying the data science process

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

By Lucy
(246 views)

Introduction to Machine Learning

Introduction to Machine Learning

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

By lotus
(342 views)

Nicolas Fiorini , Zhiyong Lu NCBI/NLM/NIH Twitter: #AMIA2017

Nicolas Fiorini , Zhiyong Lu NCBI/NLM/NIH Twitter: #AMIA2017

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

By Albert_Lan
(758 views)

Data Mining Practical Machine Learning Tools and Techniques Slides for Chapter 10, Deep learning

Data Mining Practical Machine Learning Tools and Techniques Slides for Chapter 10, Deep learning

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.

By Thomas
(176 views)

Representation Learning: A Review and New Perspectives

Representation Learning: A Review and New Perspectives

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

By Faraday
(690 views)

Machine Learning” Lecture 1

Machine Learning” Lecture 1

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

By nixie
(247 views)

Effective Statistical Energy Function Based Protein Un/Structure Prediction

Effective Statistical Energy Function Based Protein Un/Structure Prediction

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.

By cree
(97 views)

Novel representations and methods in text classification

Novel representations and methods in text classification

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

By neka
(233 views)

Impact of Observing Systems Project Overview

Impact of Observing Systems Project Overview

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.

By velvet
(141 views)

Colorado MGMA Conference, September 13, 2019

Colorado MGMA Conference, September 13, 2019

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

By valin
(197 views)

What’s New and What’s Coming…

What’s New and What’s Coming…

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.

By kyrie
(765 views)

Architecture of ML Systems 09 Data Acquisition and Preparation

Architecture of ML Systems 09 Data Acquisition and Preparation

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

By tory
(161 views)

Autonomous Learning in Finance

Autonomous Learning in Finance

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

By laken
(151 views)

CSEP 546 Machine Learning

CSEP 546 Machine Learning

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

By sef
(182 views)

Apache Spark

Apache Spark

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

By lana
(603 views)

Machine Learning” Notes 2

Machine Learning” Notes 2

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

By vilmaris
(308 views)

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