Machine Learning With Big Data
date_range Débute le 13 mars 2017
event_note Se termine le 17 avril 2017
list 5 séquences
assignment Niveau : Introductif
label Informatique & Programmation
chat_bubble_outline Langue : Anglais
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Les infos clés

credit_card Formation gratuite
verified_user Certification gratuite
timer 25 heures de cours

En résumé

Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create machine learning models that learn from data, and to scale those models up to big data problems. At the end of the course, you will be able to: • Design an approach to leverage data using the steps in the machine learning process. • Apply machine learning techniques to explore and prepare data for modeling. • Identify the type of machine learning problem in order to apply the appropriate set of techniques. • Construct models that learn from data using widely available open source tools. • Analyze big data problems using scalable machine learning algorithms on Spark.

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Le programme

  • Week 1 - Welcome
     
  • Week 1 - Introduction to Machine Learning with Big Data
     
  • Week 2 - Data Exploration
     
  • Week 2 - Data Preparation
     
  • Week 3 - Classification
     
  • Week 4 - Evaluation of Machine Learning Models
     
  • Week 5 - Regression, Cluster Analysis, and Association Analysis
     
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Les intervenants

  • Mai Nguyen, Lead for Data Analytics
    San Diego Supercomputer Center
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Le concepteur

UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
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La plateforme

Coursera est une entreprise numérique proposant des formation en ligne ouverte à tous fondée par les professeurs d'informatique Andrew Ng et Daphne Koller de l'université Stanford, située à Mountain View, Californie.

Ce qui la différencie le plus des autres plateformes MOOC, c'est qu'elle travaille qu'avec les meilleures universités et organisations mondiales et diffuse leurs contenus sur le web.

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