How I learned Machine Learning
About me
I am a Senior Software Engineer or you could say FullStack Developer currently working at 10Pearls. I had a proven track record for requirements gathering, designing, and developing applications. Excels at learning new technologies and applying them to develop clean and well-structured code. Experienced at working on projects at all stages of the Software Development Life Cycle (SDLC) from idea to development to delivering the completed product.
Why I wanted to learn Machine Learning
To me it is motivating to learn because finally I could see how the trend is moving on , every domain is generating huge amount of data .Its a high time to analyze and find insights also make our system intelligent to take decision.
How I approached learning Machine Learning
I usually start learning basics from online courses. Very great platform and courses are available Udacity, Udemy , IBM Watson and Cognitive AI etc. Try to learn and also make my hands dirty to practice this tools and technology.
Challenges I faced
The most challenging is so much theoretical concepts and algorithms. It always difficult to start or taking first step and also it include core concepts of Statistics. we usually learned and forget about the concepts and basics. It require to complete pre-requisite before starting ML and AI
Key takeaways
I learned from difficult platforms and most interesting is to doing practice more and more. Try to think and come up with new problem statement and analyze on that ,make me interest greatly.
Tips and advice
Its a great domain and technology area , i would definitely advise to at least know and understand the area.
Final thoughts and next steps
Try to go in depth in this field and making my career path on this
No offense, but this reads more like self-promotion than it does an advice piece.