Author Archives: Victor Dey - Page 29
DORO is a robust outlier refinement of DRO that takes inspiration from its robust statistics. The refined risk function, which prevents DRO from overfitting to potential outliers, intuitively, the new risk function adaptively filters out a small fraction of data with high risk during training, which is potentially caused by outliers.
The post Guide to DORO: Distributional and Outlier Robust Optimization appeared first on Analytics India Magazine.
TensorFlow allows developers to create dataflow graphs, which are structures that describe how the data moves through a graph, or a series of processing nodes present.
The post A Beginner’s Guide To TensorFlow appeared first on Analytics India Magazine.
TensorFlow allows developers to create dataflow graphs, which are structures that describe how the data moves through a graph, or a series of processing nodes present.
The post A Beginner’s Guide To TensorFlow appeared first on Analytics India Magazine.
AnyTrading is an Open Source collection of OpenAI Gym environments for reinforcement learning-based trading algorithms. AnyTrading aims to provide Gym environments to improve upon and facilitate the procedure of developing and testing Reinforcement Learning based algorithms in the area of Market Trading.
The post Creating a Market Trading Bot Using Open AI Gym Anytrading appeared first on Analytics India Magazine.
DataPrep is an open-source library available for python that lets you prepare your data using a single library with only a few lines of code. DataPrep can be used to address multiple data-related problems, and the library provides numerous features through which every problem can be solved and taken care of.
The post Exploring DataPrep: A Python Library For Data Preparation & EDA appeared first on Analytics India Magazine.
DataPrep is an open-source library available for python that lets you prepare your data using a single library with only a few lines of code. DataPrep can be used to address multiple data-related problems, and the library provides numerous features through which every problem can be solved and taken care of.
The post Exploring DataPrep: A Python Library For Data Preparation & EDA appeared first on Analytics India Magazine.
RTDL (Revisiting Tabular Deep Learning) is an open-source Python package based on implementing the paper “Revisiting Deep Learning Models for Tabular Data”. The library leverages the ease of creating a Deep Learning Model and can be used by practitioners and programmers looking to implement Deep Learning models in tabular data.
The post Creating Deep Learning Models For Tabular Data using RTDL appeared first on Analytics India Magazine.
Digital Signal Processors take waveforms in voice, audio, video, temperature, and then mathematically manipulate them. The key idea of a DSP is to create complex, realistic signals by precisely controlling and tuning their many parameters.
The post Hands-On Guide To Differential Digital Signal Processing Using Neural Networks appeared first on Analytics India Magazine.
Digital Signal Processors take waveforms in voice, audio, video, temperature, and then mathematically manipulate them. The key idea of a DSP is to create complex, realistic signals by precisely controlling and tuning their many parameters.
The post Hands-On Guide To Differential Digital Signal Processing Using Neural Networks appeared first on Analytics India Magazine.
LazyPredict is an open-source python library that helps you to semi-automate your Machine Learning Task. It can build multiple models without writing much code and helps understand which models work better for the processed dataset without requiring any parameter tuning.
The post Visualizing and Comparing ML Models Using LazyPredict appeared first on Analytics India Magazine.