In data science, cluster analysis (or clustering) is an unsupervised-learning method that can help to understand the nature of data by grouping information with similar characteristics. The clusters of data can then be used for creating hypotheses on classifying the data set. The k-means algorithm is one of the clustering [...]

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Identification without facial recognition

On April 15, 2013, a tragedy befell the annual Boston Marathon as two homemade pressure cooker bombs detonated near the finish line. There were several hundred casualties reported after the incident.

Law enforcement surveillance teams scoured images and videos of the marathon to find suspects. Three days later, [...]

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Browser-based machine learning

With the availability of data and open-source machine learning (ML) frameworks like TensorFlow, interest in deploying ML models has grown over the years. Traditional machine learning systems, however, usually require some form of installation before being operational. For startups, data scientists, and individuals simply looking to lay their [...]

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Machine learning: expectations vs. reality

Today, data scientists have a much easier time deploying a machine learning (ML) model through the availability of data and open-source ML frameworks. While it’s a simple matter to write machine learning code to train a basic, non-distributed model with sample at-rest data, the process becomes [...]

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Beyond conventional sentiment analysis

Sentiment analysis is a widespread approach to gaining valuable insights based on mostly textual data. The approach has become one of the essential ingredients while developing recommendation engines and chatbots, analyzing customer feedback, etc. Sentiment analysis is also used to enable predictive analytics and estimate budgets in [...]

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Why building a safe autonomous car is a challenge

In 2015, the National Highway Traffic Safety Administration revealed a staggering statistic—94% of vehicle accidents were caused by human error. This has become another driver for using artificial intelligence in the development of safe autonomous vehicles.

Under the hood of self-driving vehicles are [...]

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The rigors of testing

Validating TensorFlow code may pose certain difficulties. First, one needs to trample through the herds of tensor values, which are multi-dimensional arrays of data. In TensorFlow, computations are represented as dataflow graphs, and they are hardly an easy nut to crack. Using TensorBoard for graph visualization may [...]

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Many discrete approaches within AI

Michael Frederikse

“Artificial intelligence is a process from data to action,” as Michael Frederikse, a Software Technologist at Pattern, Inc., put it during his session at the recent TensorFlow meetup in Boston. Under this process, the following metamorphoses take place:

transformation of data into features [...]

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It’s the messenger era

In 2015, Business Insider released a report showing messaging apps equal social networks in monthly active users. In the succeeding years, messengers would surpass social networks as they evolve beyond simple chat interfaces.

With this growth, companies are now investing in expanding messaging apps with chatbots, especially with [...]

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Employ science to predict wisely

A while ago, the Huffington Post made a curious observation that whenever an Oscar-winning Anne Hathaway hits the headlines, the stock price for Berkshire Hathaway (BRK-A) goes up. Prior to Academy Awards 2018, the company’s share gained 2.02%, which amounted to already 2.94% over the weekend [...]

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