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 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]