AI_ML_Fundamentals

In this video, I talked about different practices for training and prediction in machine learning and compare them in terms of pros and cons.

In This video, I talked about 4 methods of getting job in data science with no degree or experience. #artificialintelligence #machinelearning #datascience #job #interview #faang #degree #bootcamp

In this video, I talked about steps to deploy your ML code to production along with best practices and tools to do that.

In this video, I talk about common misconception people having a PhD degree for the data science job. I compare and contrast data science job families in terms of skills and degree. #machinelearning #artificialintelligence #datascience #job #phd #university

This is the first part on my video series on how to get a job in data science. This part is for those people with a university degree related to data science and machine learning or a good amount of exposure to the field. #machinelearning #datascience #artificialintelligence #job #interview #dataengineers

In this video, I talked about model scoring, model comparison, model versioning, and monitoring, advantage of dashboard and visualization in machine learning eco-systems.

In this video, I take you through different machine learning and statistical models you need to master for data science jobs