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

 

Machine Learning Project

Introduction 

This article is regarding my Machine Learning project based on image classification to detect weeds in my garden / lawn. I am trying to put my Electronics and Instrumentation engineering background and my IT working knowledge to come up with a wheeled vehicle (robot ) to detect and clasify broad leaf weed , the final objective is to automate the robot to detect the weed and spread weed killer liquid using Machine Learning. 

example of a broad leaf weed in my back yard lawn.

Machine Learning Algorithms

Linear Regression

Why Python?

What is Python ? Why Python ?

How to start learning Python 

https://www.python.org/

What is ipython ?

Official Site: https://ipython.org/

What is the difference between python and ipython ?

What can be done using python ?