KDnuggets™ News 18:n40, Oct 24: Graphs Are The Next Frontier In Data Science; Apache Spark Intro for Beginners

Also: Review of main approaches to NLP; The intuition behind Bayesian optimization; Music for __data Science; and don't forget to vote in current KDnuggets Poll: What was the largest dataset you analyzed / data mined? Features |  Tutorials |  Opinions |  Tops |  News |  Webcasts |  Meetings |  Jobs |  Academic |  Image of the week


Highlights this week: Why graphs are the next frontier in data Science; Very readable introduction of Apache Spark; Review of main approaches to NLP; The intuition behind Bayesian optimization; Music for data Scientists?!? and more.
Mark Nov 8 for a webinar where I will argue against Citizen data Science and don't forget to vote in current KDnuggets Poll: What was the largest dataset you analyzed / data mined?, closing this Friday. -- Gregory

  Features
  • Gold Blog
    Graphs Are The Next Frontier In data Science
  • Apache Spark Introduction for Beginners
  • Gold Blog
    The Main Approaches to Natural Language Processing Tasks
  • Start your journey into data science today
  • Citizen data Scientists | Why Not DIY AI? (with Gregory Piatetsky and Gene Ferruzza debating), Nov 8
  • The Intuitions Behind Bayesian Optimization with Gaussian Processes
  • Google, Microsoft & Fraunhofer at the First European Edition of Deep Learning World - 12 Nov, 2018

  Tutorials, Overviews
  • Introduction to Active Learning
  • Get a 2-6x Speed-up on Your data Pre-processing with Python
  • Beginner data Visualization & Exploration Using Pandas

  Opinions
  • How to Define a Machine Learning Problem Like a Detective
  • Holy Grail of AI for Enterprise - Explainable AI
  • New Jobs Sure to Emerge Alongside Artificial Intelligence
  • Music for data Scientists? Music by data Scientists? …What…?!

  Top Stories, Tweets
  • Top Stories, Oct 15-21: Graphs Are The Next Frontier In data Science; The Main Approaches to Natural Language Processing Tasks
  • Top KDnuggets tweets, Oct 10-16: 7 Books to Grasp Mathematical Foundations of data Science and Machine Learning; 6 Books Every data Scientist Should Keep Nearby

  News
  • A Deep Look at Deep Learning: Understanding The Basics of How (and Why) it Works
  • Dr. data Show Video: How Can You Trust AI?
  • McKinsey Datathon: The City Cup
    17 November, Amsterdam, Stockholm and Zurich. Apply Now
  • The Definitive Guide to AI's "Black Box" Problem

  Webcasts and Webinars
  • How to Solve the ModelOps Challenge, Nov 14
  • BI to AI: Getting Intelligent Insights to Everyone, Oct 30

  Meetings
  • Google, Microsoft & Fraunhofer at the First European Edition of Deep Learning World - 12 Nov, 2018
  • Speak at Mega-PAW Vegas 2019 - on Machine Learning Deployment (Apply by Nov 15)
  • Don't miss Big data LDN 2018, 13-14 November - free to attend
  • Will Models Rule the World? data Science Salon Miami, Nov 6-7

  Jobs
  • Mindstrong Health: Sr data Scientist / Machine Learning, Statistics, Coding [Palo Alto, CA]

  Academic
  • University of Rhode Island: Assistant Professor of data Science [Kingston, RI]
  • University of San Francisco: Assistant Professor, Tenure Track, Mathematics and Statistics [San Francisco, CA]


   Image of the week
Graph data engines growth

Graphs Are The Next Frontier In data Science