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
Data Scientist / Interview Social Media is an interesting domain that entails a whole new dimension of challenge for Data Scientist. – Vaibhav Saxena
Data Scientist / Q&A Webinar Q&A Webinar with Subhajit Panda (Data Scientist) on How a different stream student can become a Data Scientist by self-study?
Data Scientist / Interview Data Scientist explores new problems and improves products/solutions every day. – Avinash Navlani
Data Scientist / Interview Data Science requires good amount of brain storming for any problem statement you are working on. – Kunjan Shah
Data Scientist / Interview “Hands -On Time Series Analysis With Python” Book helps students accelerate understand nitty-gritty details of solving time-dependent problems. – Vishwas BV
Q&A Webinar Q&A Webinar with Kushal Sharma (Datanex.in and KAI Institute of AI, Jaipur) on Artificial Intelligence
Data Scientist / Interview The past name of Data Science is Data Mining which is well known in the researchers. – Ashish Patel
