Hadoop + Mahout Anton Slutsky, Lead Data Scientist, EPAM Systems

Slides:



Advertisements
Similar presentations
Statistical Machine Translation Alona Fyshe Based on slides from Colin Cherry and Dekang Lin.
Advertisements

Quantitative Research and Analytics, Proprietary and Confidential1 Ryan Michaluk
Big Data Management and Analytics Introduction Spring 2015 Dr. Latifur Khan 1.
Searching with Lucene Chapter 2. For discussion Information retrieval What is Lucene? Code for indexer using Lucene Pagerank algorithm.
Big Data Analytics Module 4 – Data Mining and Predictive Analytics Including Mahout Saptak Sen, Microsoft Bill Ramos, Advaiya.
Big Data and Hadoop and DLRL Introduction to the DLRL Hadoop Cluster Sunshin Lee and Edward A. Fox DLRL, CS, Virginia Tech 21 May 2015 presentation for.
SQL on Hadoop. Todays agenda Introduction Hive – the first SQL approach Data ingestion and data formats Impala – MPP SQL.
Application Development On AWS MOULIKRISHNA KOPPOLU CHANDAN SINGH RANA.
Identifying and Incorporating Latencies in Distributed Data Mining Algorithms Michael Sevilla.
CS 5604 Spring 2015 Classification Xuewen Cui Rongrong Tao Ruide Zhang May 5th, 2015.
CS525: Big Data Analytics Machine Learning on Hadoop Fall 2013 Elke A. Rundensteiner 1.
Charles Tappert Seidenberg School of CSIS, Pace University
Lecture Set 12 Sequential Files and Structures Part C – Reading and Writing Binary Files.
Data and SQL on Hadoop. Cloudera Image for hands-on Installation instruction – 2.
Big Data Analytics Large-Scale Data Management Big Data Analytics Data Science and Analytics How to manage very large amounts of data and extract value.
Apache Mahout Installation and Examples. Pre requisites Java ( jdk version ) Maven( version 3.0 or higher ) Mahout ( Download or svn repository ) Hadoop(
EDTC 560 PowerPoint Presentation samples Eli Collins-Brown Right-click on slide to view notes.
Advanced Analytics on Hadoop Spring 2014 WPI, Mohamed Eltabakh 1.
PowerPoint Day 2 Class Exercise File. Morning Agenda  Working with Slide Masters  Creating PowerPoint Templates  Working with Smart Art  Adding Charts.
Apache Mahout. Prerequisites for Building MAHOUT Java JDK 1.6 Maven 3.0 or higher ( ). Subversion (optional)
Apache Mahout Qiaodi Zhuang Xijing Zhang.
807 - TEXT ANALYTICS Massimo Poesio Lab 2: (Quick intro to) SOLR Document clustering with MAHOUT.
1 Title Line on a Divider Slide Format >Level one bullet text for a divider slide.
Jozef Goetz, Converting numbers 1.Converting from the base 2, 5, 8 and 16 numbers to the base 10 number See all a.s for the next slides 2. Converting.
1 Divya Jain Oct 10 th, 2014 Big Data Products: Where do I start?
Data Analytics (CS40003) Introduction to Data Lecture #1
Image taken from: slideshare
Big Data, Data Mining, Tools
Big Data is a Big Deal!.
Presented by: Javier Pastorino Fall 2016
Sushant Ahuja, Cassio Cristovao, Sameep Mohta
Empower your Data Analyst
Tutorial: Big Data Algorithms and Applications Under Hadoop
Robert Grossman Open Data Group University of Chicago Michael Zeller
continued on next slide
Hadoop Clusters Tess Fulkerson.
Lesson 3: Trifacta Basics
DATA ANALYTICS AND TEXT MINING
                                                                                                                                                                                                                                                
continued on next slide
continued on next slide
Sample Projects.
Welcome to Microsoft Azure for Research Training!
Lesson 1: Introduction to Trifacta Wrangler
Lesson 3: Trifacta Basics
Lesson 2 – Chapter 2A CHAPTER 2A – CREATING A DATASET
Lesson 3 – Chapter 3C Changing Datatypes: Settypes
Lesson 4: Advanced Transforms
Lesson 2: Getting Started
Lesson 4: Advanced Transforms
The Big 6 Research Model Step 3: Location and Access
Machine Learning Course.
Lesson 6: Tools Chapter 6D – Lookup.
Lesson 3: Trifacta Basics
Lesson 6: Tools Chapter 6C – Join.
Lesson 4: Advanced Transforms
Lesson 3: Trifacta Basics
Lesson 2: Getting Started
Lesson 5: Wrangling Tools
Lesson 4: Advanced Transforms
Lesson 3: Trifacta Basics
Lesson 3: Trifacta Basics
Finite State Machine II
Lesson 5: Wrangling Tools
HDInsight & Power BI By Łukasz Gołębiewski.
AUTOMATED MACHINE LEARNING for Healthcare
Lesson 2: Getting Started
continued on next slide
continued on next slide
Presentation transcript:

Hadoop + Mahout Anton Slutsky, Lead Data Scientist, EPAM Systems Confidential

Agenda Confidential

Machine Learning vs. Statistics Confidential

Types of Machine Learning Confidential

Machine Learning Applications Confidential

Machine Learning and Data Confidential

Obligatory Big Data Slide Confidential

Hadoop Confidential

Apache Mahout Confidential

Why Hadoop + Mahout? Confidential

Machine Learning Applications Confidential

Machine Learning Applications Confidential

Hadoop + Mahout Algorithm Confidential

Get data into Hadoop Confidential

Convert data into Mahout format Confidential

Mahout format – Sequence File Confidential

Learn model from Data Confidential