Machine Learning In Laymen’s Terms

#MachineLearning In Laymen's Terms -  #ArtificialIntelligence #AI

  • Industry experts are predicting that the combination of Machine learning and hence AI and Internet of Things (IoT) will be the new technological era setter and the businesses, startups, governments etc. will invest huge numbers in the same.
  • I am addicted to this game, and I realized that the particular game is the best way to narrate “What Machine Learning is” with a Layman’s level of knowledge.
  • Let’s see Paper Toss example in Machine and Non-Machine Learning approach.
  • Now, if you add the wind flow using a fan in the system, the system will continuously miss the target because the force and the angle of projection are pre-set using a formula that works only for a particular condition.
  • The most accepted technical definition of Machine Learning is

    “A computer program is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, improves with experience E.” — Tom Mitchell, Carnegie Mellon University.

Machine Learning A Laymans Understanding.
Continue reading “Machine Learning In Laymen’s Terms”

Artificial Intelligence Innovation Summit Tickets, Thu, May 11, 2017 at 6:00 PM

Artificial Intelligence Innovation Summit | #BigData #Artificialintelligence #RT

  • Join Tandem Innovation Alliance on Thursday, May 11th at WeWork in Tysons, VA for an evening devoted to understanding the impact of artificial intelligence and the future it holds for the government and startups.
  • We have invited investors, industry leaders and government officials as part of our ongoing event series focusing on artificial intelligence and machine learning.
  • This evening we will focus on the areas where the government is investing in A.I. programs to modernize federal agencies and where startups can fit in.
  • Following the panel, Tandem will select companies that feature exciting new A.I. technologies to provide lightning pitches to offer insight into the next great innovations that could transform the industry.
  • Come hungry, food, drinks and plenty of networking opportunities with investors and government leaders will be provided.

Eventbrite – Tandem Innovation Alliance presents Artificial Intelligence Innovation Summit – Thursday, May 11, 2017 at WeWork Tyson=, Tysons, VA. Find event and ticket information.
Continue reading “Artificial Intelligence Innovation Summit Tickets, Thu, May 11, 2017 at 6:00 PM”

7 AI trends to watch in 2017

Seven Artificial Intelligence trends to watch in 2017 - #AI

  • A recent Forrester survey of business and technology professionals found that 58% of them are researching AI, but only 12% are using AI systems.
  • Concerns about AI stealing jobs are nothing new but we anticipate deeper, more nuanced conversations on what AI will mean economically.
  • Expect to hear (a little) less about malevolent AI taking over the world and more about the economic impacts of AI.
  • Most AI systems are black boxes -and immensely complex.
  • Watch highlights covering artificial intelligence, machine learning, intelligence engineering, and more.

From tools, to research, to ethics, Ben Lorica looks at what’s in store for artificial intelligence in 2017.
Continue reading “7 AI trends to watch in 2017”

An overview of gradient descent optimization algorithms

An overview of gradient descent optimization algorithms #deeplearning #abdsc

  • We will consider additional strategies that are helpful for optimizing gradient descent.
  • You need to be a member of Data Science Central to add comments!
  • We will also take a short look at algorithms and architectures to optimize gradient descent in a parallel and distributed setting.
  • Every state-of-the-art Deep Learning library contains implementations of various algorithms to optimize gradient descent (e.g. lasagne’s , caffe’s , and keras’ documentation).
  • If you are unfamiliar with gradient descent, you can find a good introduction on optimizing neural networks .

This article was written by Sebastian Ruder. Sebastian is a PhD student in Natural Language Processing and a research scientist at AYLIEN. He blogs about Machi…
Continue reading “An overview of gradient descent optimization algorithms”

34 External Machine Learning Resources and Related Articles

34 External #MachineLearning Resources and Related Articles

  • How We Are Using Data Science To Personalize Education
  • You need to be a member of Data Science Central to add comments!
  • 22 data experts share their predictions for 2016
  • The world has lost one of its greatest minds in science.
  • Obama Wants Companies To Disclose Pay Data – More work for data solution vendors, data scientists and attorneys

Starred articles are candidates for the picture of the week. A comprehensive list of all past resources is found here. We are in the process of automatically c…
Continue reading “34 External Machine Learning Resources and Related Articles”

Microsoft makes its deep learning tools available to all

Microsoft makes its deep learning tools available to all

  • Trump squashes rumor of Trump TV
  • Microsoft makes its deep learning tools available to all
  • Lyft’s monthly passes lower the cost of your carpooling
  • IBM’s Watson is lending its smarts to Slack and its chat bot
  • The same internal, deep learning tools that Microsoft engineers used to build its human-like speech recognition engine , as well as consumer products like Skype Translator and Cortana, are now available for public use.

The same internal, deep learning tools that Microsoft engineers used to build its human-like speech recognition engine, as well as consumer products like Skype…
Continue reading “Microsoft makes its deep learning tools available to all”