Data Scientist / Interview Data Science build their Data Intuition and visualize what goes on behind all the Python or R codes. – Kunaal Naik
Data Scientist / Interview Supervised Learning Algorithms are still mostly used in the industry. – Rajdeep Pal
Data Scientist / Interview NLP is a very broad term and industry has been using it everywhere. – Shivam Kotwalia
Blogger / Data Scientist / Interview Data Science is all about finding existing hidden patterns in data. – Prakhar Mishra
Data Scientist / Interview Real world problems are not only about modeling, it involves brainstorming on a lot of different situations. – Abhishek Mamidi
Data Scientist / Interview In today’s world with IOT, AIOps, Predictive Maintenance among other Time Series models have even more relevance. – Srivatsan Srinivasan
Data Scientist / Interview If data science is the human body, Statistics is heart of the body. – Madhukar Kumar
Data Scientist / Interview Most hardest part of any Data Science Project is Data Collection and Data Cleaning. – Mayur Domadiya
Data Scientist / Interview Data engineer’s job is to maintain data infrastructure where as data scientist will use this data infrastructure and perform analytics on data. – Dhaval Patel
Data Scientist / Interview Data Collection is one of the biggest problem in any Data Science Project. – Ashish Pal
Data Scientist / Interview NLP (Natural Language Processing) is on the rise in data science with the advent of new transformer-based models. – Ramsri Goutham Golla
Data Scientist / Interview Though Data Driven Decision Based System got adapted after last recession, because of lot of data management issues still Data Sciences adaption gets highlighted even during and after current pandemic. – Dr. Pradeep K Mavuluri
Data Scientist / Interview Geoinformatics has complex location and image data for data scientist to solve. – Ayush Aggarwal
Data Scientist / Interview Natural Language Processing (NLP) is required when we want to use language data of human being to perform analysis or perform prediction. – Ravi Ranjan Prasad Karn
Q&A Webinar Q&A Webinar with Dr. Souvik Ganguli on Research Stream like AI, ML, Data Science, Big Data, IoT
Data Scientist / Interview In Data Science Domain, 70% of the human energy is consumed in preparing quality data and 30% is consumed to run the model on it. – Gaurav Chatterjee
