[Project] Which tool/algo to use for distributed machine learning? : MachineLearning

I am currently working on a project which involves implementing distributed machine learning. Can someone please provide me some direction as to what tools to use, what algorithms to look...

This New [AI] Software Constantly Improves – and that Makes all the Difference

Based on a recent conversation between Joseph Sirosh, CTO for AI at Microsoft, and Roger Magoulas, VP of Radar at O’Reilly Media. Link to video recording below. Joseph and Roger had...

[Project] Forecasting models in python. : MachineLearning

Hi r/MachineLearning,I need your help!I recently started my 5th semester as an engineering student. At my university we have a semester project that we need to defend at the end...

[D] Classifying sentences labeled differently ? : MachineLearning

Hi,I have a set of tweets that have been labelled by different people. The task is to identify whether these tweets. I have two labels (Hateful comment, non hateful comments)....

[News] Introducing NimTorch : MachineLearning

We just released the NimTorch autograd system. Finally ready for all your machine learning needs.Working just like PyTorch autograd, implemented in a much slicker and simpler way thanks to nim...

[D] PC for TensorFlow : MachineLearning

This is my first time posting, so please let me know if i need to change anything.Planning on building a PC for my friend for some Neural Networking. He will...

How to Develop RNN Models for Human Activity Recognition Time Series Classification

Human activity recognition is the problem of classifying sequences of accelerometer data recorded by specialized harnesses or smart phones into known well-defined movements. Classical approaches to the problem involve hand crafting...

[Project] Efficiently searching extremely large search spaces

"ProBO Engine works by decoupling the search space into two regimes: economic decisions and military decisions. The military regime is solved using a global branch and bound technique with several...

[P] Counterfactual Regret Minimization – the core of Poker AI beating professional players :...

Hello r/MachineLearningI recently tried to wrap my head around counterfactual regret minimization - algorithm very common in poker playing bots, wrote an article/tutorial on that subject here:https://int8.io/counterfactual-regret-minimization-for-poker-ai/Hope some will find...

[D] An additional explanation to regularization with some questions : MachineLearning

The classic explanation for the effectiveness of regularization in NNs is that it prevents overfitting by simplifying the model (Occam's razor). I have an additionally explanation and am curious to...

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