Learn Machine Learning In Just 7 Years

Rwiddhi Chakraborty explains that machine learning isn’t a topic you pick up overnight:

Of course you could write a Hello World program in C++ in 24 hours, or a program to find the area of a circle in 24 hours, but that’s not the point. Do you grasp object oriented programming as a paradigm? Do you understand the use cases of namespaces and templates? Do you know your way around the famed STL? If you do, you certainly didn’t learn all this in a week, or even a month. It took you a considerable amount of time. And the more you learned, the more you realised that the abyss is deeper than it looks from the cliff.

I’ve found a similar situation in the current atmosphere surrounding Machine Learning, Deep Learning, and Artificial Intelligence as a whole. Feeding the hype, thousands of blogs, articles, and courses have popped up everywhere. Thousands of them have the same kind of headlines — “Machine Learning in 7 lines of code”, “Machine Learning in 10 days”, etc. This has, in turn led people on Quora to ask questions like “How do I learn Machine Learning in 30 days?”. The short answer is, “You can’t. No one can. And no expert (or even one comfortable with its ins and outs) did.”

This is a good antidote to the “I read a blog post and now I’m an expert” mentality which is particularly pernicious.

Related Posts

Performance Tuning Neural Network Training

Sean Owen takes us through a few techniques for speeding up neural network model training: Step #2: Use Early StoppingKeras (and other frameworks) have built-in support for stopping when further training appears to be making the model worse. In Keras, it’s the EarlyStopping callback. Using it means passing the validation data to the training process for evaluation […]

Read More

Text Analysis from Google Sheets

Federico Pascual shows how you can use MonkeyLearn to perform text analysis (including sentiment analysis and categorization) from a Google Sheets spreadsheet: Carrying out a customer survey, for example, can be useful to obtain crucial insights into the overall customer experience of your clients. But the data obtained from these surveys can be incredibly difficult […]

Read More

Categories

April 2018
MTWTFSS
« Mar May »
 1
2345678
9101112131415
16171819202122
23242526272829
30