“Without data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.”
— Geoffrey Moore
Every data science task needs data. Specifically, data that’s clean and understandable by the system it’s being fed into. When it comes to images, a computer needs to see what human eyes see.
For example, humans have the ability to identify and classify objects. Similarly, we can use computer vision to interpret visual data that it receives. That’s where image annotation comes into the picture.
Image annotation has a critical role in computer vision. The goal of image annotation…
I’ve recently been working a lot with video data—in fact, I’d already shared some learnings on a few deep learning-based video summarization techniques, in a recent article published on Heartbeat.
While I searched a lot for research papers that dealt with video summarization, I came across a paper that dealt with creating these summaries in the simplest way possible—by using the subtitles of a given video. You can check out the paper here.
“The proposed approach for building a semantic video index consists of three stages, viz., script extraction, script partition, and script vector representation.” — Yi et al.
Obvious AI aims to solve problems faced by every enterprise in a very simplified manner using Artificial Intelligence(AI). AI solves most of the problems faced by both small scale and large scale enterprises and automates every process and hence manages risks, and boost productivity. It is about time we start exploiting the Real-World power of AI.
Implementing the right AI solution can be complex. The complexity starts from the right use case selection to data collection to model features selection and finally to the integration with existing systems. Obvious AI solves these challenges for you using AiBlocks.
“ AiBlock is…
I have not been able to come up with a proper topic to write upon for days. I’m the kind of person who lives and breathes data and there were so many topics on my mind that I was confused. Recently, I came across an article on Why Data Scientists Should Write and it made perfect sense to me! Thank You, Conor Dewey, for sharing the article.
A Data Scientist is not just a coder. His codes are not meant to be just lying around in his PC. He should have mastered the art of Storytelling and Showing visual data…
With the immense growth of videos on the internet, it’s become really difficult to efficiently search amongst millions of them. When searching for an event query, users are often bewildered by the vast quantity of videos returned by search engines like Google. Exploring such results can be time-consuming and can also degrade the user experience.
Hence, we’ll be discussing ways to automate this process with machine learning-based video summarization techniques.
It is hyperbole to say deep learning is achieving state-of-the-art results across a range of difficult problem domains. A fact, but also hyperbole. In this post, you will discover recent applications of deep learning.
Forecasting is one of the many applications where machine learning techniques have established a firm footing. With the deep learning networks getting better with each passing day, the move to entrust these networks with something as sophisticated and incredibly powerful as nuclear plants are in progress. The external instabilities like Tsunamis and extremist activities like terrorism cannot be forecasted with certainty. …
Within the field of Deep Learning, the sub-discipline called “Object Detection” involves processes such as identifying the objects through a picture, video or a webcam feed.
Object Detection is used almost everywhere these days. The use cases are endless, be it Tracking objects, Video surveillance, Pedestrian detection, Anomaly detection, People Counting, Self-driving cars or Face detection, the list goes on.
There’s no team without Trust. The highest-performing teams have one thing in common: psychological safety, the belief that you won’t be punished when you make a mistake. Psychological safety allows for moderate risk-taking, creativity and speaking your mind.
The Soft Skill Session was an initiative introduced by our HR, SriVidya at our Bangalore office. Initially, I was hesitant and I guess I still am, but after today’s session by Nimesh, I had to change my mind.
It’s been a month and a half since I joined Centelon and it’s been an amazing journey with my colleagues who are not only…
Life changes are emotional, and each person handles situations in their own way. These changes might include a transition to the start of the first job. Sometimes, change can provoke multiple simultaneous emotions like excitement, nervousness, joy, and anxiety but each unfamiliar situation makes us better prepared for the future.
I was hired as an Associate Consultant Data Scientist at Centelon’s Bangalore office. On February 25, 2019, my dream of becoming a Data Scientist came to fruition as I began the position.
On my first day, I felt a plethora of emotions. I was nervous and at the same time…
The data that we are going to deal with looks like this:
Association Rule Mining is one of the ways to find patterns in data. It finds:
What does the value of one feature tell us about the value of another feature? For example, people who buy diapers are likely to buy baby powder. Or we can rephrase the statement by saying: If (people buy diaper), then (they buy baby powder). Note the if, then rule. This does not necessarily mean that if people buy baby powder, they buy diaper…
Data Scientist |GHCI Scholar | Electronics Engineer|DIYHacker