Do we need optimization for Machine Learning ? The answer is No and Yes. If you are a beginner, just getting started, you can build a fair bit of stuff without in depth knowledge of an advanced topic such as optimization. However, if you are looking to be an expert, where you write custom models,…

# Category: blog

## Why do we need learn Probability and Statistics for Machine Learning?

Here is a brief video on why we need to learn Probability and Statistics for a career in Machine Learning.

## Should I Transition to Data Science?

Data Science is popular and lots of folks are considering a career transition to data science. Does it make sense to transition to data science? How can one answer this question? The factors to consider might be different for different people. This video talks about a couple of factors to consider when deciding whether to…

## How to learn Math for Machine Learning

Becoming a data scientist is intrinsically linked to being upto date on statistics and the underlying math along with other practical skills. But how much math do you need? And how do you actually pick up the math? Here is a brief video on learning the math for ML. What Math is required for ML The…

## Decoding the Data Scientist Hiring Gap

The need for AI/ML is growing and more and more jobs are being created as data awareness is increasing and more data is being collected. However, hiring data scientists has not been an easy task – most of these roles are not yet filled. On the other hand, data science is a very popular discipline….

## The Machine Learning Product Lifecycle – Challenges building ML products

Unlike the popular notion that being involved with ML products involves crunching math and stats, there are a lot of steps involved in productionizing ML and creating real products. Here is a brief video that explores Machine Learning Product development lifecycle and also talks about how it is different from the traditional product development lifecycle….

## Niti Aayog RAISE 2020 : Challenges scaling AI Research to Solve Big Societal Problems

Happy to have had an opportunity to speak at Niti Aayog RAISE 2020: Responsible AI for Social Empowerment (a global virtual summit). I spoke on the topic of “Challenges Scaling AI research to solve Big Societal Problems“. …

## What does the typical day of a data scientist look like ?

Being a data scientist is much more than simply churning models with lot of math! This video breaks down and explains the tasks in the typical day of a data scientist : Communicating with stake holders Analyzing data Designing the end to end data pipeline Building models Tuning models Testing and debugging Evaluating models Measuring…

## Top 50 Machine Learning Interview Questions

Whether you are kickstarting your interview preparation, or wrapping up your preparation and are looking for final touches, here are over 50 must see questions to prepare for a data science interview. We have put them in five categories for convenience. (Note: There are sevaral more questions along with answers in the main menu “Interview…

## How to answer “Explain Linear Regression?”

I interviewed 100+ folks in the last few months helping with interview prep. Many were stuck on answering a basic ML concept question. Most have an intuition and understand the basic concept, probably have watched a detailed video on it in a data science course. But when it comes to articulating the concept concisely in…