Free Data Science and Big Data Reports

Get your weekend reading lined up - free #AI reports from O'Reilly Media are here

  • Architecting Data Lakes Hadoop: What You Need to Know Big Data Now: 2015 Edition Fast Data: Smart and at Scale Migrating Big Data Analytics into the Cloud Building Real-Time Data Pipelines Data Preparation in the Big Data Era
  • We’ve compiled the best data insights from O’Reilly editors, authors, and Strata speakers for you in one place, so you can dive deep into the latest of what’s happening in data science and big data.
  • Analyzing Data in the Internet of Things The Business of Genomic Data Getting Analytics Right Data Infrastructure for Next-Gen Finance Data Science, Banking, and Fintech Mapping Big Data
  • See the entire archive of free reports.
  • © 2016, O’Reilly Media, Inc (707) 827-7019 (800) 889-8969 All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners.

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@OReillyAI: “Get your weekend reading lined up – free #AI reports from O’Reilly Media are here”


We’ve compiled the best data insights from O’Reilly editors, authors, and Strata speakers for you in one place, so you can dive deep into the latest of what’s happening in data science and big data. See the entire archive of free reports.


Free Data Science and Big Data Reports

Distributed deep learning on Spark

Distributed #deeplearning on @ApacheSpark: nice overview by @avulanov @hplabs  @OReillyAI #AI

  • Alexander Ulanov offers an overview of tools and frameworks that have been proposed for performing deep learning on Spark.
  • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners.
  • How Baidu combined Tachyon with Spark SQL to increase speed 30-fold
  • In the O’Reilly training video, the “Hadoop Application Architectures” authors present an end-to-end case study of a clickstream analytics engine to provide a concrete example of how to architect and implement a complete solution with Hadoop.
  • The Lambda Architecture has its merits, but alternatives are worth exploring.

Read the full article, click here.


@bigdata: “Distributed #deeplearning on @ApacheSpark: nice overview by @avulanov @hplabs @OReillyAI #AI”


Alexander Ulanov offers an overview of tools and frameworks that have been proposed for performing deep learning on Spark.


Distributed deep learning on Spark

AI pill-dispenser uses facial and voice recognition

AI pill-dispenser uses facial and voice recognition  #AI #DigitalHealth

  • Pillo is a smart pill dispenser and health tracker combined, which can safely store and dispense an entire family’s medication, using facial and voice recognition to provide the correct pills to the right person.
  • For example, 3D printed custom pills can combine multiple drugs into a single tablet, while a smart scheduler sends reminders and updates to help people keep on top of their pill routine.
  • AI pill-dispenser uses facial and voice recognition
  • It safely stores medication and vitamins and dispenses them smartly to the right person.
  • The smart device also links wirelessly with smartphones and tablets, so it can provide mobile reminders and notifications, and even reorder tablets when they are running low.

Read the full article, click here.


@adamfalat: “AI pill-dispenser uses facial and voice recognition #AI #DigitalHealth”


Pillo is a smart pill dispenser that stores an entire family’s medication while automatically reordering when supplies run low.


AI pill-dispenser uses facial and voice recognition

Intel, Google, GE, And Samsung Among Most Active Corporate Investors In AI Startups

Intel, Google, GE, and Samsung among most active corporate investors in AI startups

  • Google Ventures , which backed over 10 unique companies, ranked second as an active investor in AI.
  • As we earlier reported , Google is also a major acquirer of AI startups.
  • Intel Capital is the most active corporate investor on our list, having backed over a dozen separate unique AI-based companies, including healthcare startup Lumiata , machine-learning platform DataRobot , and imaging startup Perfant Technology .
  • Corporates and their venture capital groups are among the most active investors in this category ( tech corporates have also been active acquirers in the category ).
  • Our artificial intelligence category includes companies applying AI solutions to verticals like healthcare, advertising, and finance as well as those developing general-purpose AI tech.

Read the full article, click here.


@CBinsights: “Intel, Google, GE, and Samsung among most active corporate investors in AI startups”


With AI dealmaking exploding recently, corporates and their venture arms have not been left out of the rush.


Intel, Google, GE, And Samsung Among Most Active Corporate Investors In AI Startups

Teaching an AI to write Python code with Python code • Will cars dream?

Teaching #AI to write #Python code with #Python code #DeepLearning #LSTM #MachineLearning

  • So we want to train a neural net to write some Python code.
  • We can now write our code to train a LSTM network on Python code.
  • Teaching an AI to write Python code with Python code
  • The network takes a few hours to train.
  • You will be able to write code directly in your browser and have it run on your instance.

Read the full article, click here.


@kdnuggets: “Teaching #AI to write #Python code with #Python code #DeepLearning #LSTM #MachineLearning”


OK, let’s drop autonomous vehicles for a second. Things are getting serious. This post is about creating a machine that writes its own code. More or less.


Teaching an AI to write Python code with Python code • Will cars dream?

The Making of a Cheatsheet: Emoji Edition — Emily Barry

The Making of a Cheatsheet: Emoji Edition  #MachineLearning #DataScience

  • Another thing I love is data science.
  • Linear regression especially is a thing you learn constantly in other contexts and may not realize it’s used in data science.
  • Nor did I set out to make an emoji cheatsheet.
  • There are a few important things in data science that might have just ended up having their own section in a perfect world where a 3-D cheatsheet is a thing.
  • The emoji choices throughout this sheet were very intentional.

Read the full article, click here.


@MikeTamir: “The Making of a Cheatsheet: Emoji Edition #MachineLearning #DataScience”


I’ve mentioned this before, but I really love emoji. I spend so much of my time communicating with friends and family on chat that emoji bring necessary animation to my words that might otherwise look flat on the screen. 💁


The Making of a Cheatsheet: Emoji Edition — Emily Barry