In recent years, the field of object detection has seen tremendous progress, aided by the advent of deep learning. Object detection is the task of identifying objects in an image and drawing bounding boxes around them, i.e. localizing them. It’s a very important problem in computer vision due its numerous applications from self-driving cars to security and tracking.
Prior approaches of object detection… Continue
Added by Luba Belokon on October 19, 2017 at 8:30am —
The technology revolution promises to deliver a lot of rewards for organizations that take it by the horns and implement it. The spread of the Internet across every facet of society has meant that the traditional approach to watching videos has changed. Research shows that the average American is still fond of watching videos on the traditional television. The interest in watching TV results in around… Continue
Added by Ronald van Loon on October 17, 2017 at 5:30am —
Bayesian Nonparametrics is a class of models with a potentially infinite number of parameters. High flexibility and expressive power of this approach enables better data modelling compared to parametric methods.
Bayesian Nonparametrics is used in problems where a dimension of interest grows with data, for example, in problems where the number of features is not fixed but allowed to vary as we observe more… Continue
Added by Luba Belokon on October 12, 2017 at 3:00pm —
From being the plots of sci-fi thrillers to being seen as threats by the working populace, Artificial Intelligence (AI) has during the last few years jumped into the headlines as it has become a part of reality.
People are confused - AI is either considered to be a giant leap towards modernization or a leap towards massive levels of unemployment. It… Continue
Added by Ronald van Loon on September 27, 2017 at 5:30pm —
Who’s this article for:
This blog is intended for enterprise data analysts, line of business users, and data practitioners who work with qualitative and quantitative data in decision-making.
How enterprise currently use data science and business intelligence today
Quantitative analytics based on statistical models predict outcome with data models built from historical datasets using machine-learning algorithms
Added by Sing Koo on September 10, 2017 at 4:00pm —
Will Artificial Intelligence make subject matter experts obsolete?
Imagine you want to build an application that helps to identify wine and cheese pairings. Who will perform best? Applications solely based on machine learning, those ones which are based on experts' knowledge only, or a combination of both?
Most of the machine learning algorithms were… Continue
Added by Andreas Blumauer on August 28, 2017 at 3:00am —
These days, many organisations have begun to develop their own knowledge graphs. One reason might be to build a solid basis for various machine learning and cognitive computing efforts. For many of those, it remains still unclear where to start. SKOS offers a simple way to start and opens many doors to extend a knowledge graph over time.
Added by Andreas Blumauer on August 28, 2017 at 3:00am —
First it was Machine Learning, and now all of a sudden Deep Learning is taking all the thunder even from Machine Learning. So what's the difference, and why all of a sudden Deep Learning has become the most buzzing new Technology of our Era? Is Deep Learning a false idol being Ubiquitously worshiped or is it the panacea which is… Continue
Added by Ammar A. Raja on August 20, 2017 at 10:00am —
Generative adversarial networks (GANs) are a class of neural networks that are used in unsupervised machine learning. They help to solve such tasks as image generation from descriptions, getting high resolution images from low resolution ones, predicting which drug…
Added by Luba Belokon on August 17, 2017 at 6:30am —
Years ago, it was very time consuming to translate the text from an unknown language. Using simple vocabularies with word-for-word translation was hard for two reasons: 1) the reader had to know the grammar rules and 2) needed to keep in mind all language versions while translating the whole sentence.
Added by Luba Belokon on August 1, 2017 at 5:00am —
Today, many companies use big data to make super relevant recommendations and growth revenue. Among a variety of recommendation algorithms, data scientists need to choose the best one according a business’s limitations and requirements.
To simplify this task, my team has prepared an overview of the main existing recommendation system… Continue
Added by Luba Belokon on July 28, 2017 at 4:00am —
On Saturday February 11, 2017, my daughter and her friend were driving from a basketball game in Chico back to our home in Palo Alto. Unfortunately, due to several days of heavier than normal rains, the Oroville Dam spillway broke and flooded many of the roads between Chico and Palo Alto. My daughter’s smartphone mapping application wasn’t aware of the sudden danger, and proceeded to send her into the heart of the flooding (see Figure 1).…
Added by Bill Schmarzo on July 22, 2017 at 2:00pm —
First of all we will see what is R Clustering, then we will see the Applications of Clustering, Clustering by Similarity Aggregation, use of R amap Package, Implementation of Hierarchical Clustering in R and examples of R clustering in various fields.
2. Introduction to Clustering in… Continue
Added by Sheetal Sharma on July 19, 2017 at 9:00pm —
Text Analytics with Python -- A Practical Real-World Approach to Gaining Actionable Insights from your Data
Text analytics can be a bit overwhelming and frustrating at times with the unstructured and noisy nature of textual data and the vast amount of information available. "Text Analytics with Python" published by Apress\Springer, is a book packed with 385 pages of useful information based on techniques, algorithms,… Continue
Added by Dipanjan Sarkar on July 14, 2017 at 4:00am —
Finding patterns within the data is not always an easy task. It requires a lot of hard work because the patterns are often buried deep in the data. To make sure that you can find the patterns that you are looking for no matter how deep they are buried it is essential to have good knowledge of machine learning. The machine learning…
Added by Emma Miah on July 11, 2017 at 9:30pm —
Sometimes I write a blog just to formulate and organize a point of view, and I think it’s time that I pull together the bounty of excellent information about Machine Learning. This is a topic with which business leaders must become comfortable, especially tomorrow’s business leaders (tip for my next semester University of San Francisco business students!). Machine learning is a key capability that will help organizations drive optimization and monetization…
Added by Bill Schmarzo on June 27, 2017 at 12:30pm —
Enterprise business models evolve over time for many reasons. The Internet has been a key factor driving enterprise business model change in recent years. The recent popularity of smartphones has disrupted consumer habits in travel, investment, entertainment, communication, social engagement, dining, shopping and many daily activities. Consequently, enterprises have been forced to change their business models. While some changes are progressive, others are… Continue
Added by Sing Koo on June 1, 2017 at 4:30pm —
Random Forests algorithm has always fascinated me. I like how this algorithm can be easily explained to anyone without much hassle. One quick example, I use very frequently to explain the working of random forests is the way a company has multiple rounds of interview to hire a candidate. Let me elaborate.
Say, you appeared for the position of Statistical analyst at WalmartLabs. Now like most of the companies, you don't just have one round of interview. You…
Added by Manish Kumar Barnwal on June 1, 2017 at 12:30am —
Robotics has been and still is an enormous fascination for us humans. Even when we did not have computers, we were fascinated with Mary Shelley's Frankenstein because the concept of creating life out of nothing so resonates with us.
Fast forward to the modern word, making a… Continue
Added by Ammar A. Raja on May 26, 2017 at 9:00pm —
The quarterly earnings call is a critical event for publicly traded companies. Each call serves multiple purposes. It is both an important source of information for investors and an opportunity for a company to present a narrative of operational performance, financial health, and strategic vision in their own terms. It’s also an ideal opportunity for executives seeking to manage and optimize outcomes.
The advent of AI makes it plausible for… Continue
Added by Sing Koo on May 25, 2017 at 12:30pm —