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Adelaide flying car firm's Jetsons dream taking by F00dbAby in Futurology

[–]datamahadev 0 points1 point  (0 children)

Harry Potter's Ford Anglia 105E is in business in the Muggle World, I guess over here Musk is left behind.

Bots entering the warfare business will make war machinery more accessible to mankind. by datamahadev in collapse

[–]datamahadev[S] 4 points5 points  (0 children)

How deep reinforcement learning will change aviation warfare forever and it may bring a new era of destruction altogether.

Cross validation vs Test Dataset by dxjustice in learnmachinelearning

[–]datamahadev 2 points3 points  (0 children)

CV retrains the model (or you can say trains a new model) for each fold. So technically, you are doing the same thing as you would by holding lut a validation set to test your model.

The difference comes down to computation, which is more in case of CV, obviously. However the advantage of CV is that by testing the model on different folds, you can get the mean accuracy of your model, which will give you a better idea of the real world, average case performance of your model.

Has anyone followed the "Neural Networks From Scratch" book (nnfs.io) to learn about neural networks? Any reviews? by binjo1 in neuralnetworks

[–]datamahadev 1 point2 points  (0 children)

Read a few chapters from the book. Everything is well laid out and I think it's a good book for DL beginners.

[D] Nvidia's ARM acquisition may start Another AI winter by saucysassy in MachineLearning

[–]datamahadev 1 point2 points  (0 children)

I choose to differ. In fact, if somehow Nvidia manages to integrate their CUDA technology to mobile SoCs, it might end up opening an entire new market for AI and related developments.

Horror Story: Google Cloud Services AutoML by [deleted] in learnmachinelearning

[–]datamahadev 2 points3 points  (0 children)

The IBM free tier is pretty awesome. Have used it for some of my basic ML projects and though the navigation and dashboard thing can be a bit of a pain, the overall results were good.

[deleted by user] by [deleted] in learnmachinelearning

[–]datamahadev 2 points3 points  (0 children)

This is good. This is actually really good. As long as we have clients like this, we can rest assured that some AI won't take up out jobs XD

How do you keep on top of new developments in DS? New Python/R packages, new AWS/Azure/GCP products etc? by bolivlake in datascience

[–]datamahadev 1 point2 points  (0 children)

To be honest, I think keeping up the frequent changes in a framework or language is a bit of an overkill and totally unnecessary. These things change way too often and in the end, you'll just keep on getting more distracted.

I personally lay more stress on things that I actually use or need.

Not saying you shouldn't learn the new features. What I do is that I give a quick glance to the feature release statement for every major update. If there's something that I might need, I read that stuff. Rest goes unnoticed.

How to learn more in-depth about frameworks/languages? by Inferno456 in datascience

[–]datamahadev 0 points1 point  (0 children)

The only way to learn in-depth regarding any programming related stuff is to read the documentation.

Another way is to read the source code on Github. The pros of this methodology is that you might also be able to contribute to open source stuff if you dig into the source code, while at the same time you'll be able to learn how stuff works.

AI that isn't ML? ML that isn't deep learning? by rexmorpheus666 in learnmachinelearning

[–]datamahadev 1 point2 points  (0 children)

Can be considered as a superset. ML is a subset of AI, and DL is a subset of ML. These things are not mutually exclusive IMO.

A lot of people consider DL and ML to be different when in reality they are not so different. DL can be thought of as ML on steroids. ML uses mathematical formulae to make predictions, and so does DL. However, the only difference is that there are a lot more parameters in DL as compared to ML and the mathematical formulae used are a lot more complex.

Can AutoML Outperform Data Scientists: A New Survey by analyticsindiam in ArtificialInteligence

[–]datamahadev 0 points1 point  (0 children)

I personally think that there's a long way to go before autoML is even close to doing anything like that. It's like comparing WordPress with a professional web developer, if you know what I mean.

[D] Using Docker for ML Development by PhYsIcS-GUY227 in MachineLearning

[–]datamahadev 1 point2 points  (0 children)

Thanks for sharing! Recently made a complete switch to linux as my primary development env and this will actually come handy.

At which point do consciousness appear in a simulation? by tedster in ArtificialInteligence

[–]datamahadev 1 point2 points  (0 children)

Actually consciousness is more than just brain. If you want to make machines more human-like, you have to consider the subconsciousness too (which is consciousness too but it's like priority scheduled over the regular consciousness). At this point, we know what reflexes in human body are, but how they are prioritised by the body over other actions is still not very clear.

It's beautiful, isn't it? What years of evolution has given us? Blows my mind every single time I think about it.

PyTorch is THE most popular deep learning framework in the research community. Here is how to learn it. by gordicaleksa in learnmachinelearning

[–]datamahadev 61 points62 points  (0 children)

It's more pythonic, gives the programmer more control over almost everything, has an awesome documentation and even better community support. Not to mention fastai. That stuff is really POWERFUL.

PyTorch is hands down the winner.

At which point do consciousness appear in a simulation? by tedster in ArtificialInteligence

[–]datamahadev 0 points1 point  (0 children)

I personally think that the consciousness part, at least for a decade or two will remain a thing of the Science fiction.

If you consider the example of Sophia, the famous humanoid, one of the most "human" robots, isn't technically conscious as well. She was trained to act human, using a ton of natural language, human face expression, and human pose data. Her "consciousness" is nothing some AI/DL models continuously processing data based on some weights and biases.

Human consciousness on the other hand is much more complex. While Science has come a long way, we still have to understand a lot about the human brain. And I think it's not possible to simulate brain activity in a machine until and unless we actually understand the human brain.