Thursday, July 24, 2008

Mid-Career Switch to Data Science / Machine Learning

I have over 16 years of experience working in IT , predominantly in Services company. Started with SQL , C# , .Net and other Microsoft technologies. From last 5 years I am working on Java application development . I started my career in India , moved to Canada on a deputation and chose to stay back. 

In my overall IT career so far I have worked on development projects on backend technologies mainly, delivering projects for clients and working on whatever came my way with little choice. You can say I was just going with the flow and unknowingly not paying attention to real learning. I never did any technical certification all I did was a bunch of Insurance domain certifications. Not to say that I did not learn executing and delivering projects. From 2018 I found myself  less motivated to the kind of development work I have been doing, going to work was not exciting.  Whenever I tried to think on what is it that I want to learn , I got overwhelemed with the information and plethora of technology options and career paths I saw.

Then came the pandemic threat and we were locked down. This gave many like me time to focus as there was no commute and other social activities to discract , btw I am a social person. September 2020 I finally settled on giving Machine Learning and Data Science a try. I purchased some books suggested by youtubers and started reading ..old fashioned learning. My idea was let me understand what is Machine Learning. As I read the books and broswed over articles and videos online this subject has captured my attention. I can say its very interesting. As I dived deeper I realized and still realizing that its a vast field and demands a lot of  Maths and Statistics skills. 

In this blog I am going to continue documenting my learning Monthly. I will start from the very beginning...

July 2020 

Purchased the following Machine Learning books : 

1. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Géron, Aurélien

2. Introduction to Machine Learning with Python: A Guide for Data Scientists by Müller, Andreas C.

3. Python for Data Analysis by Wes McKinney


 

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