TL;DR
Hey readers!
I've open-sourced new 🤖 Interactive Machine Learning Experiments project on GitHub. Each experiment consists of 🏋️ J...
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Great way to present your experiments and share the knowledge! 👏👏👏
My team just completed an open-sourced Content Moderation Service built Node.js, TensorFlowJS, and ReactJS that we have been working over the past weeks. We have now released the first part of a series of three tutorials - How to create an NSFW Image Classification REST API and we would love to hear your feedback. Any comments & suggestions are more than welcome. Thanks in advance!
Again big Kudos for the awesome work you've done!😊
This is really cool! Especially as a recent undergraduate student in Data Science, this is truly inspiring. I think I might take those Coursera courses too! Keep up the awesome work, I'd definitely love to see future updates on this.
Thanks for such words Jake! Good luck with Coursera!
Thanks!
Greetings Oleksii,
Wow, quite an amazing piece of work here! I can see that this presentation would have taken you some time to piece together. The Python notebooks look very 'Pro.' Are you using ML now? Or is this a field you would like to enter?
Funny enough, I was considering putting some of my own ML work on dev.to. BUT, I was not sure IF this was/is the right forum. I have been using R & ML in grad. school for the past two years. But I have to wonder how much interest there is in others learning R/RStudio? What do you think?
Hi Matt!
Thanks for such words! Yeah, to go live with these 11 experiments I needed several (2-3) months actually (of course not a full time work but rather 1-1.5 morning hours for 3-4 days in a week) :D For me at the moment ML is just a hobby and something that I learn and try for fun. Therefore the performance of models is far from desired one. But, yeah, eventually in the future I guess it might be possible to work with ML more closely and professionally.
About adding your article here on dev.to, I'd say that's a good idea. At least there is a #machinelearning tag available here on the platform so it should be pretty valid to have such articles here :)
Thank you . For your road map. I couldn't find a good road map for starting ML. What's your opinion about handle machine learning book 🤔 is it good for starting or not? and rust is good for ML or not?
I'm a new to machine learning to be honest, so not too much of experience to share, but I would suggest starting from Andrew Ng courses on Coursera (i.e. coursera.org/learn/machine-learning). He explains things really good and make them easy to understand. Regarding the language, I would prefer Python because of all those libraries (Keras, Tensorflow, NumPy, Matplotlib etc.) that makes life easier. But that's my personal choice.
Thanks again .okay . I add this to my Todo list 😁
wow, that was soooooo cool and amazing
love the way you are writing
keep it up.
Thanks!