Deep Tech
Reporting, analysis and features from AIM's Deep Tech section.
Must-attend AI and ML conferences of 2022
Analytics India Magazine's MachineCon will be held in Bengaluru on June 24. It is an invite-only conference honouring India's 50 most influential AI & data science leaders.
Sreejani Bhattacharyya ·
A hands-on guide to creating animated plots using matplotlib
Data visualization assists to tell the story about the data more efficiently and makes it presentable. Sometimes it is difficult to explain the variation in the data with a static chart, for this, there are animation libraries.
Sourabh Mehta ·
A complete guide to Incremental forward stagewise regression
The Incremental Forward Stagewise algorithm is a type of boosting algorithm for the linear regression problem. It uses a forward selection and backwards elimination algorithm to eliminate those features which are not useful in the learning…
Sourabh Mehta ·
A beginner’s guide to Eigendecomposition from scratch
Mathematically, Eigen decomposition is a part of linear algebra where we use it for factoring a matrix into its canonical form. After factorization using the eigendecomposition, we represent the matrix in terms of its eigenvectors and eige…
Yugesh Verma ·
From C to Python: The evolution of programming languages in the last 50 years
Brian Kernighan is the brains behind the AWK and AMPL programming languages.
Avi Gopani ·
A guide to Regularized Discriminant Analysis in python
The Regularized Discriminant Analysis is a combination of both Linear and Quadratic discriminant analysis which analyze the observation-based set of measurements to classify the objects into one of several groups or classes.
Sourabh Mehta ·
The biggest 'women in AI conference' ends on a cheerful note
With ten keynotes and two panel-discussions, the event witnessed nearly 250+ participants from leading companies, startups, and institutions
Amit Naik ·
Rakuten’s Lata Iyer on AI for human empowerment
Datasets and algorithms can reflect or reinforce gender, racial or ideological biases.
Avi Gopani ·
Hackathon alert! MachineHack launches ‘Data Engineering Championship’ as part of DES2022 Summit
Sreejani Bhattacharyya ·
How to actuate data insights using MLOps
MLOps helps businesses identify best practices, methodologies, tools, and technologies to unify the entire pipeline.
Avi Gopani ·
A hands-on guide to Frequentist Vs Bayesian approaches in statistics
According to Frequentists, probability is related to the frequency of repeated events, whereas Bayesian thinks of probability as a measure of uncertainty.
Sourabh Mehta ·
10 Institutes to Consider if You Are Building Startups
What if you could take a semester off from your college and follow your entrepreneurial passion?
Mohit Pandey ·
Startups Scratch the Surface of AGI Without Really Understanding It
VCs were more keen to put their money on more tedious applications that were focused on transforming an existing industry rather than a distant moonshot.
poulomi.chatterjee ·
Robot Wars: Tesla’s Optimus vs. Boston Dynamics’ Atlas
While Optimus had been built from scratch in a span of eight months, Boston Dynamics had spent years perfecting Atlas.
poulomi.chatterjee ·
Anaconda brings out PyScript: Python in your browser
A user can run many popular packages of Python and the scientific stack like NumPy, pandas, scikit-learn, etc.
Sreejani Bhattacharyya ·
Explained: Stemming vs lemmatization in NLP
Stemming is a faster process than lemmatization.
kartik.wali ·
A Guide to ECCO: Python Based Tool for Explainability of Transformers
Explainability in machine learning refers to the process of explaining a machine learning model's decision to a human. The term "model explainability" refers to the ability of a human to understand an algorithm's decision or output.
Vijaysinh Lendave ·
XOps has emerged as a popular term–what is it?
XOps has emerged as the umbrella term for defining a combination of IT disciplines such as DevOps, DevSecOps, AIOps, MLOps, GitOps, and BizDevOps
Sreejani Bhattacharyya ·
An Illustrative Guide to Masked Image Modelling
masked image modelling can provide competitive results to the other approaches like contrastive learning. Performing computer vision tasks using masked images can be called masked image modelling.
Yugesh Verma ·
Microsoft DataNext: 'Putting AI Innovation into Action' ended on a successful note
The event saw participation from over 1000+ industry leaders across enterprises, small-medium businesses and startups.
Amit Naik ·