Categories: AI
2 months ago | Updated 2 months ago

AI News Monday, March 26 Machine learning, Data, Core ml & more…

By Brian

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AI News TLDR / Table of Contents

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Gigaom | How Machines Learn: The Top Four Approaches to ML in Business

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  • This functional mapping takes the general form y = f(x) specify your target output y, provide your inputs x, and the ML algorithm will learn the optimal f() by finding patterns in the data.
  • Popular supervised learning regression – Random forest – Multi-layer perceptron – Convolutional deep neural regression – Support vector machines – Convolutional deep neural networks – Naive Bayes – – – – – Unsupervised Learning – – Unsupervised learning is used when training data has no specific label for the algorithm…
  • Popular unsupervised learning algorithms: – – – – – K-means clustering – Principal component analysis – Non-negative matrix factorization – Hidden Markov model – Hebbian Learning – – At Vidora, weve seen that collecting labeled data at scale is a challenge for many business organizations, but unlabeled data is relatively…
  • Popular reinforcement learning difference – Monte Carlo tree search – Sarsa – – – – – ML and Your Business – – Each of supervised, unsupervised, semi-supervised, and reinforcement learning has shown meaningful success in the business world.
  • As the practical scope of machine learning broadens, fluency in its key concepts becomes an increasingly important business skill even for those with no data science experience.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: machine learning, data, algorithm, reinforcement learning, Popular supervised learning[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]https://twitter.com/ModisFrance/status/978137111302955008[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Gigaom | How Machines Learn: The Top Four Approaches to ML in Business[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”Apple-and-IBM-Unveil-Artificial-Intelligence-Service-That-Coca-Cola-Is-Testing”][vc_column width=”1/2″][vc_separator][vc_column_text]

Apple and IBM Unveil Artificial Intelligence Service That Coca-Cola Is Testing

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  • Apple and IBM have teamed up on an artificial intelligence service that is intended to make it easier for business customers to create apps.
  • The service is an expansion of a nearly four-year old partnership between Apple and IBM in which the two companies create corporate apps together for Apple devices like the iPhone and iPad.
  • The idea is for IBM to sell corporate apps co-created with Apples design team for business customers to use on mobile devices, and for Apple to then sell those iPhones and iPads to businesses.
  • The service, Watson Services for Core ML, links Apples Core ML tools for developers that it unveiled last year with IBMs Watson data crunching service.
  • IBM Watson general manager David Kenny explained that the new service is part of a broader suite of Watson artificial intelligence services for corporate developers who are building machine-learning apps.

[/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: Core ML, IBM, apps, corporate apps, Watson Services[/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]https://twitter.com/FortuneMagazine/status/978081617414705153[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Apple, IBM Debut Watson Services for Core ML for Corporate Developers | Fortune[/vc_column_text][/vc_column][/vc_row][vc_row el_id=”Walmart-has-patented-autonomous-robot-bees”][vc_column width=”1/2″][vc_separator][vc_column_text]

Walmart has patented autonomous robot bees

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    [/vc_column_text][vc_column_text el_class=”topfeed-tags”]Tags: Walmart, Walmart farming drones, , , [/vc_column_text][/vc_column][vc_column width=”1/2″][vc_separator][vc_column_text el_class=”topfeed-tweet”]https://twitter.com/wef/status/978217517960265729[/vc_column_text][vc_column_text el_class=”topfeed-embedly”]Walmart has patented autonomous robot bees | World Economic Forum[/vc_column_text][/vc_column][/vc_row]

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    Brian