How I Learnt Machine Learning In 6 Steps (3 months)
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This is a much asked question do here’s how I learnt machine learning successfully! In this video, I’m gonna share with you guys the 6 keys factors when it comes to machine learning, so that you guy know what really matters.
Machine Learning is an every-growing field of importance in todays’ world and it has firmly secured its place in our future as well. So it’s really imperative that we make efforts to learn it. First things first, Math. You can’t escape it, but don’t panic, make Math a long term learning goal. Next up, take a basic machine learning course which will teach you basic algorithms like linear regression. I also made a video on Linear Regression which you can check out here:
Next, learning Python, and Numpy. As these are part of the building blocks of your machine learning foundation. Once you’ve done so, practice with some basic projects and then work on your data preparation skills (this will take time to hone). Also, familiarize yourself with ML Libraries like Scikit learn and TensorFlow. But most importantly, practice and don’t stop learning!
1. Math – mainly linear algebra, probability, statistics.
-Linear Algebra: https://www.khanacademy.org/math/linear-algebra
-Statistics & Probability: https://www.khanacademy.org/math/statistics-probability
2. Basic Machine Learning courses:
3.Learn Python & Numpy.
No Zero Days!