AI Trends
Reporting, analysis and features from AIM's AI Trends section.
How to generate recommendations using reinforcement learning?
Embedding Q-Learning with Policy network would generate recommendation
Sourabh Mehta ·
10 conditions when tree-based machine learning models should be avoided
This article is about the limitations of tree based machine learning models and the conditions that forbid the use of tree based models in machine learning.
darshan.m ·
How to use genetic algorithm for hyperparameter tuning of ML models?
The genetic Algorithm works on theory of Evolution for optimization of constraints
Sourabh Mehta ·
OmniXAI: A Library for Explainable AI
Explainable AI refers to strategies and procedures that explains the ML solutions.
Sourabh Mehta ·
LUX: Python API for Automated Exploratory Data Analysis
Do you want to automate data analysis in your projects? LUX is an API which yields efficient and a quick data analysis. Have a look into it.
darshan.m ·
What makes JAX so Awesome
JAX is a high performance numerical computation python library.
Sourabh Mehta ·
How do Kernel Regularizers work with neural networks?
Do you want to know how kernel regularizers adds penalty terms to the network weights and optimize performance. Here is the answer.
darshan.m ·
Powershap: A Shapley feature selection method
Shapley explains the reason behind an ML model results.
Sourabh Mehta ·
How to obtain a Pandas Dataframe from a gzip file?
darshan.m ·
Can bias regularization of neural networks result in underfitting?
Will bias regularization for neural networks lead to underfitting?Is it required for all neural networks.? Here is the answer..
darshan.m ·
Rendering textured meshes with PyTorch3D API
Rendering is a bridge to the gap between 3D scene attributes and 2D picture pixels.
Sourabh Mehta ·
Gradient Ascent: When to use it in machine learning?
Gradient ascent maximizes the loss function of the algorithm
Sourabh Mehta ·
How AI is used for data access governance
Blast radius is a way of measuring the total impact of a potential security breach.
Zinnia Banerjee ·
How to select the best set of features using SVM?
Do you want to know how to select best set of features using SVM.Here is a complete implementation.
darshan.m ·
Double debiased machine learning for evaluation and inference
Debiased ML combines bias correction and sample splitting to compute scalar summaries.
Sourabh Mehta ·
Build, train, track and share your ML models with Layer AI
Layer allows users to create, train, track, and share Machine Learning models.
Sourabh Mehta ·
Bayesian hierarchical model for regression with uncertainty modelling
Probabilistic ML offers a strong set of techniques for modelling uncertainty
Sourabh Mehta ·
How to condense deep learning models for edge devices using quantization?
How to develop deep learning models in edge devices? Here is the answer
darshan.m ·
Crow Search Algorithm for optimization and its use cases
Crow Search Algorithm is a swarm intelligence algorithm with diverse applications
Sourabh Mehta ·
How to deploy and monitor your Keras model with Comet?
A detailed implementation of usage of Comet platform for deploying and monitoring a model.
darshan.m ·