AI Trends
Reporting, analysis and features from AIM's AI Trends section.
Exponential smoothing vs Moving average for time series forecasting
The exponential smoothing and moving average are the two basic and important techniques used for time series forecasting.
Yugesh Verma ·
What’s Generative Insertion Transformer?
GIT is pre-trained using the BERT encoder and KERMIT objective on an unsupervised LM task.
kartik.wali ·
Independent Component Analysis vs Principal Component Analysis
ICA finds independent components rather than uncorrelated component.
Sourabh Mehta ·
Top institutes leading in quantum computing research
IISc plans to bring the Indian pursuit in this field on par with the rest of the world, with a dedicated and focused effort.
Sreejani Bhattacharyya ·
How to Make a Time Series Stationary?
The statistical features of a time series could be made stationary by differencing method.
Sourabh Mehta ·
How to build a robust ML model using Curriculum learning?
Curriculum learning is also a type of machine learning that trains the model in such a way that humans get trained using their education system
Yugesh Verma ·
What is the Zero-Moment Point in Optimus Robot?
Optimus seems to be working on the method called Zero-Moment Point to balance its weight during each next step by bending knees and tilting back and forth.
Mohit Pandey ·
China-Taiwan standoff might increase Global chip shortage
After Nancy Pelosi’s visit to Taiwan, Chinese aircraft are violating Taiwan’s airspace. The escalation made TSMC’s chairman go public and threaten the world with consequences. Can this move by China fuel a global chip shortage?
lokesh.choudhary ·
Node.js founder is disappointed with Node.js
For Ryan Dahl, Deno.js is an attempt to undo the mistakes he did with Node.js
tausif.alam ·
Why use deconvolution layers in deep learning?
Deconvolution simply reverses the process of convolution
Sourabh Mehta ·
Data science training institutes that started in the COVID era
Making a career in data science is highly aspirational for many in this country.
Sreejani Bhattacharyya ·
Torcharrow: A PyTorch framework for CPU-based large data processing
Torcharrow is a Pytorch preprocessing library for data processing and visualization with various aspects of data processing.
darshan.m ·
How to use logistic regression for image classification?
This article is an attempt to showcase the capability of Logistic Regression as a machine learning algorithm for image classification.
darshan.m ·
Top online courses to learn Apache Spark
Let us look at a few courses (paid and free) that can get you started in this technology.
Sreejani Bhattacharyya ·
A complete tutorial on visualizing probability distributions in python
In mathematics, especially in probability theory and statistics, probability distribution represents the values of a variable that holds the probabilities of an experiment. distribution.
Yugesh Verma ·
How to communicate secretly with SteganoGAN?
Steganography is the practice of concealing a secret message within or even on top of something public.
Vijaysinh Lendave ·
Getting started with tensors from scratch in PyTorch
Various deep learning frameworks such as PyTorch do their computation on numbers in the form of tensors. Tensors are one of the basic fundamental aspects or types of data in deep learning.
Vijaysinh Lendave ·
Praxis launches ‘Data Science Student Championship’ - South Zone Challenge Edition
Calling all under-graduate and postgraduate students from engineering colleges and universities to the first-ever ‘Data Science Student Championship’ – South Zone Challenge, brought to you by MachineHack, India’s leading Analytics platform…
Amit Naik ·
Best GitHub alternatives to try in 2022
GitHub caters to over 73 million users.
kartik.wali ·
How to quantify the privacy risks of ML models with ML Privacy Meter?
ML Privacy Meter is used to mitigate the attack on the privacy of machine learning models and hence ensures privacy of data.
Sourabh Mehta ·