AI News, “Simplicity is the glory of expression” — Interview with Jalaj Thanaki (EBook Giveaway)

“Simplicity is the glory of expression” — Interview with Jalaj Thanaki (EBook Giveaway)

(Jalaj is the author of two books) — I will be doing a book review for the book on Acing AI so stay tuned and subscribe to our newsletter to not miss it.

First one is “Python Natural Language Processing” which helps beginners to learn NLP from scratch and second one is “Machine Learning Solutions” which is practical guide that helps readers to build and optimize various Machine Learning applications.

How we can build the reusable architecture which helps developers to build the common project features easily across the multiple products.

If the reusable architecture would be achieved then it would save a lot of development time and energy of Data Scientists and it would be efficient solutions for many companies.

JT: People who are unfamiliar to the data science field they think that machines can learn or think by themselves and the job of the Data Scientists/Machine Learning Engineers is just to monitor the process.

In order to do so, I used to prepare my weekly as well as daily to-do list so that I could know how much time I need to spend on each of the tasks.

I usually try to make realistic plan which I can follow and I always have a room for watching YouTube videos.☺ Nowadays, I have cut out my time on unnecessary meetings and communications.

I don’t spend too much time on social media (but I always resolve the questions coming from my followers.) All these steps help me to become more productive.

Although during initial days of my career, I got an advice from some source that you have to know all the advance concepts of linguistics if you want to learn about NLP but in reality, I just need to know basics concepts of the linguistics which can help me in my project.

There are nothing much that I want to change in my profession journey but I really wish I would have started hosting ML projects on GitHub earlier but better late than never.

I like to follow top researchers from academia and industry experts on twitter and LinkedIn so that I can come to know best of both the worlds.


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