What motivates you to transition from academia to data science?
Answer / Vishal Ruhela
Motivations for transitioning from academia to data science can be diverse. Some common reasons include the growing demand for data scientists in various industries, the opportunity to work on real-world problems and applications, and the potential for higher salaries compared to traditional academic careers.
| Is This Answer Correct ? | 0 Yes | 0 No |
How do data management procedures like missing data handling make selection bias worse?
How do you check for data quality?
What does Machine Learning mean for the Future of Data Science?
Write a program to segment a long string into a group of valid words using Dictionary. The result should return false if the string cannot be segmented. Also explain about the complexity of the devised solution.
What is the difference between data science, machine learning and artificial intelligence?
Why do you need a for loop? How do you do for loops in python and r?
What are outlier values and how do you treat them?
What is meant by lattice graphs?
You have two tables-the first table has data about the users and their friends, the second table has data about the users and the pages they have liked. Write an SQL query to make recommendations using pages that your friends liked. The query result should not recommend the pages that have already been liked by a user.
why is data cleaning important for analysis?
What is difference between sas, r and python programming?
Which companies participating in Insight would you be interested in working for?
AI Algorithms (74)
AI Natural Language Processing (96)
AI Knowledge Representation Reasoning (12)
AI Robotics (183)
AI Computer Vision (13)
AI Neural Networks (66)
AI Fuzzy Logic (31)
AI Games (8)
AI Languages (141)
AI Tools (11)
AI Machine Learning (659)
Data Science (671)
Data Mining (120)
AI Deep Learning (111)
Generative AI (153)
AI Frameworks Libraries (197)
AI Ethics Safety (100)
AI Applications (427)
AI General (197)
AI AllOther (6)