Deep Tech
Reporting, analysis and features from AIM's Deep Tech section.
A beginner’s guide to Student’s t-test in python from scratch
Student's t-test tests whether two samples belong to the same population by considering a null hypothesis that their means are equal
Sourabh Mehta ·
Building Chi-square Test in Python from Scratch
The Chi-square test is one of the statistical tests we can use to decide whether there is a correlation between the categorical variables.
Sourabh Mehta ·
A guide to generating realistic synthetic image datasets with Kubric
Kubric is an open-source Python framework that allows you to create photo-realistic scenes by combining the functions of PyBullet and Blender.
waqqas.Ansari ·
Difference Between Concept Drift vs Data Drift in Machine Learning
Microsoft has stated data drift to be one of the top reasons model accuracy degrades over time.
Avi Gopani ·
Intel® & MachineHack to launch oneAPI Blogathon Contest
The best entries stand a chance to win prizes worth INR 3 lakh, iPad mini, Amazon Gift vouchers and more.
Amit Naik ·
A guide to time series prediction using Meta’s prophet toolkit
The prophet is a toolkit or library for time series analysis that is available to us as an open-source. Utilizing this toolkit we can perform time series analysis and forecasting very easily and fast. This toolkit has various features that…
Yugesh Verma ·
Genpact & NASSCOM release an MLOps guide to drive AI adoption
MLOps is a set of practices and methodology used to automate ML model development, achieve automated and reliable ML model deployment.
kartik.wali ·
A beginner’s guide to stochastic gradient descent from scratch
Stochastic gradient descent is also a method of optimization. The objective function which needs to be optimised comes with suitable smoothness properties and this suitable smoothness makes the stochastic gradient descent different from th…
Yugesh Verma ·
How this Company Built Multi-million Dollar Biz by Mining Startups Data
India has been the back office for most financial data companies – they may have offices here, but the headquarters are in New York and London. We want to change that: Tracxn co-founder Neha Singh
Shraddha Goled ·
Text-to-Image Model, Language Translation and Other Highlights from Google’s AI Event
Ayush Jain ·
OpenAI’s New Initiative to Back AI Startups, Invest $1 Million in Each
OpenAI launches Converge, a new programme under its Open AI Startup Fund, aimed towards accelerating AI innovation
Ayush Jain ·
One-of-a-kind hackathon: #CryptoPrediction in the spotlight
Rocket Capital Investment wants to capture skilled people who can predict solutions to complex problems that exist in the financial markets, in return for which it wants to reward the problem-solvers.
Sreejani Bhattacharyya ·
Snowflake Vs Databricks: The ultimate comparison
Both Databricks and Snowflake offer strong scalability, but scaling up and down is easier with Snowflake.
Avi Gopani ·
A hands-on guide to anomaly detection in time series using ADTK
ADTK is an open-source python package for time series anomaly detection. The name ADTK stands for Anomaly detection toolkit. This package is developed by ARUNDO. Its features enable us to implement pragmatic models very easily, and also th…
Yugesh Verma ·
A hands-on guide to implementing ggplot in python using plotnine
The ggplot package of the R programming language makes the R richer on the side of data visualization. In python as well, various packages are also available for data visualization. If the features and capabilities of ggplot can be used in…
Yugesh Verma ·
Meet the winners of ‘Ode to Code’ – Tredence’s weather prediction hackathon
The hackathon, organised by Tredence, in association with MachineHack, witnessed close to 580+ participants and 300+ solutions posted on the leaderboard.
Amit Naik ·
A Beginner’s Guide to Deep Regression Forest
Deep regression forest can be considered as a method similar to the traditional regression forest but the decisions at each split node are softer than the traditional regression forest.
Yugesh Verma ·
A guide to interpretable association rule mining using PyCaret
Making association rule mining interpretable and explainable plays an important role in decision making. In this article, we will discuss association rule mining and we will do a hands-on implementation of this technique using the PyCaret…
Yugesh Verma ·
Build vs buy for data science platforms
It can take anywhere between 6 months to one year to build an in-house solution or manage an ineffective one.
Abhishree Choudhary ·
A Hands-on Guide to JoyPy for drawing interactive Joyplots
In simple words, joyplots are density plots but stacking and overlapping make them different from density plots. We mainly use this kind of plot for cross-check distribution of the data. Density plots are very helpful for measuring the cha…
Yugesh Verma ·