Amazon just acquired a training ground for retail artificial intelligence research – GeekWire

Amazon just acquired a training ground for retail artificial intelligence research  #ai

  • Amazon didn’t acquire an iconic grocery store brand just for the quinoa: Whole Foods operates hundreds of retail data mines, and Amazon just married a world-class artificial intelligence team with one of the best sources of in-store consumer shopping data in the U.S.
  • Obviously, Amazon already collects a ton of data on consumer purchasing behavior, but it’s relatively new to groceries and brick-and-mortar retail in general.
  • Whole Foods instantly gives Amazon a reliable source of the purchasing habits of well-off Americans, and that data can be used to train artificial intelligence models that will allow retailers to better predict demand and someday automate much of the labor involved in grocery retailing, no matter what the company said Friday about layoffs.
  • The logistics of shipping fresh food around the country are not easy, and that generates a ton of specialized data that Amazon can use to improve its own distribution strategies as well as build a cloud retail AI product for AWS customers.
  • A few years down the road, if you’re an established but aging grocery brand — say Safeway or Albertson’s or Publix (try the subs) — you’ll either watch Amazon and Whole Foods eat your lunch with improved efficiency and incredible reach, or you’ll become an AWS customer because you’ll need the retail AI products that could emerge from this deal to compete.

Amazon didn’t acquire an iconic grocery store brand just for the quinoa: Whole Foods operates hundreds of retail data mines, and Amazon just married a…
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Using TensorFlow in Windows with a GPU

Using #TensorFlow in @Microsoft #Windows with a #GPU  #DeepLearning

  • Particularly, I was curious about my Windows Surface Book (GPU: GeForce GT 940) performance of using the GPU vs the CPU.
  • When TensorFlow was first released (November 2015) there was no Windows version and I could get decent performance on my Mac Book Pro (GPU: NVidia 650M).
  • Read here to see what is currently supported The first thing that I did was create CPU and GPU environment for TensorFlow.
  • To create my CPU TensorFlow environment, I used:

    To create my CPU TensorFlow environment, I used:

    Your TensorFlow code will not change using a single GPU.

  • You can switch between environments with:

    If you are doing moderate deep learning networks and data sets on your local computer you should probably be using your GPU.

In case you missed it, TensorFlow is now available for Windows, as well as Mac and Linux. This was not always the case. For most of TensorFlow’s first year…
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The Power of Artificial Intelligence is to Make Better Decisions

The Power of Artificial Intelligence is to Make Better Decisions —@byronreese @gigaom #AI

  • According to Accenture, AI will define future customer experience .
  • “The power of AI is the power to make better decisions.
  • Reese shared a historical example of AI and whether AI should be used to make decision.
  • If AI has the power to make better decisions, then any business that has to make decisions, will be able to make more informed and fast decisions.
  • Reese notes that AI in business is really heating up.

Artificial intelligence (AI) is the new UI, according to Accenture’s Technology Vision 2017 report, identifying trends that are essential to business suc…
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Machine Learning 101— Supervised Learning – Shaden Mar’i – Medium

Machine Learning — Supervised Learning.  #BigData #MachineLearning #DataScience #AI

  • Model training using the data set
  • Data sets hold the data which will be used in training your models, whereas, test sets hold the data which you will be using to test and evaluate your models.
  • Data sets join and data wrangling
  • The Restaurant ratings data set along with the customer and Restaurants data set are all used in training the matchbox recommendation model.
  • I have trained my model using the restaurant ratings data sets along with two more data sets; the Restaurant customers and restaurants data sets.

Machine learning is basically teaching computers to solve big problems based on either example data or past experiences. Example data, is purely unlabeled, with unknown and undetected structure. Your…
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Machine Learning Is No Longer Just for Experts

Machine Learning Is No Longer Just for Experts | #Analytics #MachineLearning #RT

  • The last two years have also seen the major cloud providers Amazon Web Services and Google Cloud Services release machine learning-specific services – both Machine Learning as a Service platforms and graphics processor unit machines optimized for machine learning work.
  • The net effect of these new technologies is that a person interested in using machine learning need not understand the science of deep learning algorithms in order to experiment with cutting-edge techniques.
  • How robotics and machine learning are changing business.
  • Machine Learning Is No Longer Just for Experts
  • And the new technologies affect who works in machine learning as well.

You don’t need a PhD, and that’s a big deal.
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Machine Learning Is No Longer Just for Experts

#MachineLearning Is No Longer Just for Experts | #AI ▷

  • The last two years have also seen the major cloud providers Amazon Web Services and Google Cloud Services release machine learning-specific services – both Machine Learning as a Service platforms and graphics processor unit machines optimized for machine learning work.
  • The net effect of these new technologies is that a person interested in using machine learning need not understand the science of deep learning algorithms in order to experiment with cutting-edge techniques.
  • How robotics and machine learning are changing business.
  • Machine Learning Is No Longer Just for Experts
  • And the new technologies affect who works in machine learning as well.

You don’t need a PhD, and that’s a big deal.
Continue reading “Machine Learning Is No Longer Just for Experts”

Can AI and Sensors Power the Next Generation of Traffic Lights?

Can #AI and #Sensors Power the Next Generation of Traffic Lights?   #IoT

  • Like reinforcement learning, deep learning also takes inspiration from the human brain.
  • When it’s combined with reinforcement learning, it makes the search for the best solution more efficient.
  • While traffic lights do use sensors to try and make slightly more intelligent decisions than perhaps they once did, they are still fairly dumb tools for regulating the flow of traffic.
  • The researchers believe reinforcement learning provides just such a capability .
  • A recent Chinese study explores whether machine learning can do a better job.

Driverless cars are one thing, but sensor-bearing traffic lights that learn and adapt could be hitting the streets in short order. Read on to find out more.
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Lighting the way to deep machine learning

Lighting the way to deep #MachineLearning #DataScience

  • The data set iterator receives as input a closure that constructs the Torchnet data set object.
  • Torchnet provides a framework on top of a deep learning framework (in this case, torch/nn ) that makes rapid experimentation easier.
  • For instance, small subpackages that wrap vision data sets such as the Imagenet and COCO data sets, speech data sets such as the TIMIT and LibriSpeech data sets, and text data sets such as the One Billion Word Benchmark and WMT-14 data sets.
  • Although machine learning and artificial intelligence have been around for many years, most of their recent advances have been powered by publicly available research data sets and the availability of more powerful computers – specifically ones powered by GPUs.
  • The modular Torchnet design makes it easy to test a series of coding variants focused around the data set, the data loading process, and the model, as well as optimization and performance measures.

Read the full article, click here.


@MikeTamir: “Lighting the way to deep #MachineLearning #DataScience”


Building rapid and clean prototypes for deep machine-learning operations can now take a big step forward with Torchnet, a new software toolkit that fosters rapid and collaborative development of deep learning experiments by the Torch community.


Lighting the way to deep machine learning