Home

Submit your #DataScience ideas for next #DataSciBowl  #MachineLearning by @BoozAllen @kaggle

  • The Data Science Bowl will satisfy your passion with a powerful purpose.
  • It’s a huge opportunity to show the world what data science can do.
  • The Data Science Bowl could be your shot.
  • The 2017 Data Science Bowl is co-sponsored by Kaggle and Booz Allen, with valuable support from many sponsors.
  • For us, data science is more than a skill or profession.

Read the full article, click here.


@KirkDBorne: “Submit your #DataScience ideas for next #DataSciBowl #MachineLearning by @BoozAllen @kaggle”


The Data Science Bowl could be your shot. Join us in our mission to merge big data with deep thinking on an issue that affects the social good. With over $375K in prizes awarded so far, we’re gearing up for a new competition launching in December 2016. Here are a few steps you can take to get started:


Home

Machine Learning with MATLAB

These 14 #machinelearning examples include code, documentation, and more

  • Based on your location, we recommend that you select: .
  • Choose your country to get translated content where available and see local events and offers.
  • You can also select a location from the following list:
  • MathWorks
  • Machine Learning with MATLAB

Read the full article, click here.


@MATLAB: “These 14 #machinelearning examples include code, documentation, and more”


Learn about MATLAB support for machine learning. Resources include examples, documentation, and code describing different machine learning algorithms.


Machine Learning with MATLAB

Here Is Google’s List of Fears About Artificial Intelligence

Here Is Google's List of Fears About Artificial Intelligence  #ai

  • Unlike software a robot that’s trying new things may actually cause humans harm.
  • Robots will learn the same way as AI algorithms, through repetition and exploration.
  • For example, the robot should experiment with mopping strategies, but putting a wet mop in an electrical outlet is a very bad idea.
  • Of the five main concerns outlined in the paper, avoiding negative side effects is top of the list.
  • So if your future robot starts tearing down doors because it thinks it’s more efficient, just make sure you put it on the naughty step for 10 minutes to cool down.

Read the full article, click here.


@RickKing16: “Here Is Google’s List of Fears About Artificial Intelligence #ai”


​At least somebody’s preparing for the robopocalypse.​


Here Is Google’s List of Fears About Artificial Intelligence

A Designer’s Guide To The $15 Billion Artificial Intelligence Industry

Take a look. Good read.

A designer's guide to the $15 billion #AI industry  

 #fintech

  • Sociology: Designers will need to consider when and if AI systems should be considered a part of society.
  • The best designers know that they need to study human behavior if they want to make the right choices for their users.
  • First a word on why designers should embrace artificial intelligence in the first place.
  • Designers could only make decisions that were good for the masses some of the time, rather than best for individuals all of the time.
  • With AI, products and services arent just performing basic functions; theyre emotionally aware, letting designers create the best experience for each user.

Read the full article, click here.


@SpirosMargaris: “Take a look. Good read.

A designer’s guide to the $15 billion #AI industry

#fintech”


As artificial intelligence gains ground, designers will need to adapt. Here’s how to get started.


A Designer’s Guide To The $15 Billion Artificial Intelligence Industry

[1606.04671v2] Progressive Neural Networks

New ways to pretrain/finetune via Progressive Neural Networks  #deepmind #deeplearning

  • Using a novel sensitivity measure, we demonstrate that transfer occurs at both low-level sensory and high-level control layers of the learned policy.
  • Abstract: Learning to solve complex sequences of tasks–while both leveraging transfer and avoiding catastrophic forgetting–remains a key obstacle to achieving human-level intelligence.
  • (Submitted on 15 Jun 2016 ( v1 ), last revised 21 Jun 2016 (this version, v2))
  • From: Andrei Rusu [ view email ] [v1] Wed, 15 Jun 2016 08:20:51 GMT (2325kb,D) [v2] Tue, 21 Jun 2016 22:03:05 GMT (7786kb,D)
  • The progressive networks approach represents a step forward in this direction: they are immune to forgetting and can leverage prior knowledge via lateral connections to previously learned features.

Read the full article, click here.


@quantombone: “New ways to pretrain/finetune via Progressive Neural Networks #deepmind #deeplearning”



[1606.04671v2] Progressive Neural Networks

What Deep Learning and Machine Learning Mean For the Future of SEO

What Deep Learning and Machine Learning Mean For the Future of #SEO - Whiteboard Friday

  • Discuss emerging growth opportunities with top growth hackers like Sean Ellis and Morgan Brown
  • Follow specific topics like viral marketing, growth hacks and early traction
  • Yes, create my free account No thanks, I just want the email
  • Use the feedback box below if you have a question, comment or general feedback.
  • Log in with Twitter or log in with email to post a comment.

Read the full article, click here.


@GrowthHackerSEO: “What Deep Learning and Machine Learning Mean For the Future of #SEO – Whiteboard Friday”


Imagine a world where even the high-up Google engineers don’t know what’s in the ranking algorithm. We may be moving in that direction


What Deep Learning and Machine Learning Mean For the Future of SEO

TPOT 0.4 : Python Package Index

TPOT 0.4 is out on pip! Big changes + improvements. #Python #MachineLearning #DataScience

  • A Python tool that automatically creates and optimizes machine learning pipelines using genetic programming.
  • Real-time CDN by Fastly / hosting by Rackspace / design by Tim Parkin
  • Tree-based Pipeline Optimization Tool
  • Keywords: pipeline optimization,hyperparameter optimization,data science,machine learning,genetic programming,evolutionary computation
  • Package Index Owner: rhiever

Read the full article, click here.


@randal_olson: “TPOT 0.4 is out on pip! Big changes + improvements. #Python #MachineLearning #DataScience”


Tree-based Pipeline Optimization Tool


TPOT 0.4 : Python Package Index