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Posts Tagged "data science"

Interview with Rahul Kulhari, Lead Data Scientist, EdGE Networks Pvt. Ltd.

Shweta Gupta, VP – Technology at Digital Vidya: AI is set to solve the problems in the vertical that is of most human-centric – the Human Resources. The application of NLP and Deep Learning in this space is interesting, and we get some interesting insights talking to Rahul, an accomplished B. Tech graduate from BK Birla […]

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Interview with Jyoti Vaddi, Head of Marketing & Business Development, CropIn Technology

Shweta Gupta, VP – Technology at Digital Vidya: Data Science can be intimidating and complex to understand for a non-techie. But since its a hot cake right now, everyone wants to know a bit about this space. I get these queries very often, “How do I understand the work going on in the Data Science Industry?”. […]

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Interview with Akshay Sehgal, General Manager, Data Science, Reliance Industries

Shweta Gupta, VP – Technology at Digital Vidya: Only techies know the awful feeling when you can’t talk about the nuances of your work with general people. And that for me is a struggle! Being a hardcore techie, someone who has been a technologist for nearly two decades, I am really passionate about talking about […]

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Interview with Mohit Bansal, Principal Data Scientist, CreditVidya

Shweta Gupta, VP – Technology at Digital Vidya: FinTech is revolutionary, to say the least. Technology has entirely changed the Banking and Finance industry. The use of technology in the BFSI industry is not limited to online transactions, stock trading and mobile banking. It goes far beyond to Customer Segmentation, Fraud Detection, Risk Management, Personalised […]

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Interview with Ambuj Kathuria, Head – Data & Analytics, Birlasoft

Shweta Gupta, VP – Technology at Digital Vidya – As a Data Scientist, you continuously need to be in the learning mode. Upskilling, relearning and being on top of trends and analysis in the industry is very important, or may I say vital to being relevant. Its hard to read a lot of blogs and […]

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Interview with Avik Sarkar, Head-Data Analytics Cell, NITI Aayog, Govt. of India

Shweta Gupta, VP – Technology at Digital Vidya Data Science is not only interesting and enjoyable but important as well. From its use in healthcare all the way to agriculture, the future will depend on our ability to use data to our advantage. It is the cornerstone of the modern day research, and without it, […]

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Top Data Science Companies in India

     -     Apr 2nd, 2018   -     Data Analytics   -     1 Comment   -    , , ,

A day before yesterday when I was looking at the financial daily, a news article about the rapidly growing Big Data and data analytics market caught my attention. It reminded me of Gartner’s earlier prediction of Indian business intelligence and analytics software market reaching $245 million in 2017, a whopping 24.4% increase over 2016 revenue […]

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Interview with Lovekesh Vig, Senior Scientist, TCS Research

Shweta Gupta – Vice President Technology at Digital Vidya It is bewildering to see how Data Science, ML, Deep Learning and AI are giving a twist to every process known in industries such as E-Commerce, BFSI, Manufacturing, Healthcare etc. At Digital Vidya, we are eager to know the in’s and out’s of this new phenomenon […]

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Anomaly Detection Using Machine Learning In Industrial IoT: Webinar Recording

     -     Mar 17th, 2018   -     Data Analytics, Webinars   -     0 Comments   -    , , , ,

Abirami R., a Data Scientist at Flutura and a budding game changer in the Data  Science fraternity, led an interactive webinar on the concept of anomaly detection using machine learning in Industrial IoT. Key Takeaways post webinar: To identify anomalies in any process or data, we first need to identify what is normal or acceptable. […]

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K Nearest Neighbors and its Application in Python

     -     Mar 13th, 2018   -     Data Analytics   -     0 Comments   -    , , , ,

K Nearest Neighbors algorithm The K Nearest Neighbors algorithm (KNN) is an elementary but important machine learning algorithm. KNN can be used for both classification and regression predictive problems. The reason for the popularity of K Nearest Neighbors can be attributed to its easy interpretation and low calculation time. Suppose we have a set of […]

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