AI Trends
Reporting, analysis and features from AIM's AI Trends section.
Exploring DataPrep: A Python Library For Data Preparation & EDA
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…
Victor Dey ·
Complete Tutorial on Text Preprocessing in NLP
In any data science project life cycle, cleaning and preprocessing data is the most important performance aspect. Say if you are dealing with unstructured text data, which is complex among all the data, and you carried the same for modelin…
Vijaysinh Lendave ·
Top SQL Editor Tools For ML Developers
SQL editors help web developers, and data administrators control, access and manipulate data in databases.
Debolina Biswas ·
Unravelling Deep Model Artefacts for Deepfake Videos Detection
This is one of the top voted thesis papers from upGrad's online working professional programs in partnership with one of the UK's leading universities.
Gagan.Tewari ·
Hands-On Tutorial on Vector AutoRegression(VAR) For Time Series Modeling
VAR models are different from univariate autoregressive models because they allow analysis and make predictions on multivariate time series data.
Yugesh Verma ·
Top ML Hackathons Of 2021
Here is a curated list of the top eight ML hackathons launched in 2021.
Debolina Biswas ·
Top Exploration Methods In Reinforcement Learning
Researchers from Mila AI Institute, Quebec, in their survey, have departed from the traditional categorisation of RL exploration methods and given a treatise into RL exploration methods.
Ram Sagar ·
Top 6 Tools To Convert Code from One Language to Another
Migrating an existing programming code to a current or efficient language demands expertise.
Dr. Nivash Jeevanandam ·
Hands-On Tutorial on Mean Shift Clustering Algorithm
Mean shift is based on the idea of KDE. We can make the points climb uphill to the nearest peak on the KDE surface. Mean shift is based on the idea of KDE, but what makes it different is that using the bandwidth parameter. We can make the…
Yugesh Verma ·
Exploring Panda Gym: A Multi-Goal Reinforcement Learning Environment
The gym is an open-source toolkit for developing and comparing reinforcement learning algorithms. What makes it easier to work with is that it makes it easier to structure your environment using only a few lines of code and compatible with…
Victor Dey ·
Understanding Overfitting and Underfitting for Data Science
Vijaysinh Lendave ·
Top Crypto APIs In The Market
kumar Gandharv ·
Getting Started With Computer Vision Using TensorFlow Keras
Computer Vision attempts what a human brain does with the aid of eyes. It is a branch of Deep Learning that deals with images and videos.
Rajkumar Lakshmanamoorthy ·
What Is Text Modular Network?
Shraddha Goled ·
Now Red Hat Is Giving Away This For Free
Ambika Choudhury ·
7 Top AI/ML Based Music Apps In 2021
Music apps -- that leveragies the latest AI, ML technologies -- have become an essential part of our daily routines.
kumar Gandharv ·
Introducing Real-Time High-Resolution Background Replacement
Background replacement is an important task in video production, special effects and live streaming.
Aditya Singh ·
How to deploy Time Series Forecasting models Using StreamLit
Nikita Shiledarbaxi ·
How to Convert Pytorch Model to Tensorflow
Open Neural Network Exchange (ONNX) is a powerful and open format built to represent machine learning models. It overcomes the problem of framework lock-in by providing an universal intermediary model format.
Aditya Singh ·
Semantic vs Instance vs Panoptic: Which Image Segmentation Technique To Choose
Nikita Shiledarbaxi ·