This week's book giveaway is in the Agile and Other Processes forum. We're giving away four copies of Real-World Software Development: A Project-Driven Guide to Fundamentals in Java and have Dr. Raoul-Gabriel Urma & Richard Warburton on-line! See this thread for details.
Hi. All the developers I work with use Python exclusively for ML work. I have dipped my toe into the water in the ML area and found Python an excellent tool (even though I had to learn it) with many libraries that make building ML code very straightforward.
Convince me to switch my way of thinking and thanks for taking my question.
posted 4 weeks ago
This question is for Shanqing, Stan & Eric specifically, but everyone in general
By the way, I followed a path very similar to yours - approaching ML took me to learn Python.My humble opinion is that in ML the language you use is the less important aspect of the matter. It's just a mean to use powerful libraries, like Tensor flow.
posted 3 weeks ago
Claude, that raises a good point. If I learn JS in order to access TensorFlow libraries, I’ve started to get a good JS foundation so I can use other powerful libraries like Angular for front-end and Node.js for server side. I’m not aware of anything similar for Python. Also, there are libraries in JS that allow you to write in JS and then compile into iOS or Android native. So seems that learning JS to use TensorFlow is a gateway to all kinds of other technologies while Python doesn’t seem to have that. At least not that I can find.
Well, as usual... it depends, Lanny. I bring my own experience: i learnt Python as much as I needed to play (and I point up the word 'play') a bit with machine learning and TensorFlow.
I couldn't define myself a pythonist, just I understood some 'advanced basics' of that language.
The real core of AI are mathematical and statistical models, it's something we should never forget.
You learn how to close your eyes and tell yourself "this just isn't really happening to me." Tiny ad: