Viren Luke Radhakrishnan

My Journey With ML — Part IV/IV

Next steps, and why the process can become frustrating sometimes

Image for post
Image for post
Image by author

I think many people have missed the point of Computer Science in general. We live in a world where young minds are made to believe that careers in tech are lucrative because of the availability of many well-paying, stable jobs in this field. When these same individuals enter the job market (after having studied either outdated or irrelevant content at University, that they may have been forced to join in the first place), they are met with a rude shock; they aren’t equipped with industry-ready knowledge, and must then spend their own time, money, and energy on arming themselves for…


My Journey With ML — Part III/IV

ML Engineering, and the Google Cloud Professional Machine Learning Engineer examination

Image for post
Image for post
Image by author

Google Cloud Platform (GCP) is a suite of cloud services offered by Google that runs on the same underlying architecture that powers Google’s apps. These services provide clients (independent users and organizations) with access to a robust infrastructure, serverless tools, and enterprise-grade software, with minimal overhead time in installation and management. GCP provides competition to Microsoft’s Azure and Amazon’s AWS platforms.

While GCP has a ton of functionality that may power many different industrial applications, the use-case we are concerned with is Artificial Intelligence. As such, we will look at the AI-related tools offered by the platform in this article.


My Journey With ML — Part II/IV

The TensorFlow Developer Certificate —usefulness, preparation, and time commitment

Image for post
Image for post
Image by author

In March of 2020, the TensorFlow team released the TensorFlow Developer Certificate. This foundational certificate allows ML practitioners to prove that they have the skill set required to succeed in an entry-level ML role. For the uninitiated, TensorFlow is an open-source Machine Learning framework from Google. Apart from being a powerful numeric-computing software, ML developers and researchers can build and deploy production-grade ML models quickly.


My Journey With ML — Part I/IV

Machine Learning— what it is, why it matters, and how to get started

Image for post
Image for post
Image by author

On a fateful day in April, I decided to plunge into Machine Learning (I didn’t know what the domain even entailed before that). Maybe I was bored. I was perhaps looking for something to do apart from App Development, which I have been doing since 2018. Four months and many all-nighters later, I feel like I have been enlightened! Today, I am a TensorFlow Certified Developer and a Google Cloud Certified Professional Machine Learning Engineer (a mouthful, I know), along with being a Google Certified Associate Android Developer (I have been one since 2018).

I have wanted to write about…

Viren Luke Radhakrishnan

Passionate about programming in Python, Java, and C. Certified ML Engineer and Android App Developer. Strong Written and Verbal Communication Skills in English.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store