Deep Tech
Reporting, analysis and features from AIM's Deep Tech section.
A Beginner’s Guide to Characteristics of a Time-Series
When a time series data gets collected, there is other additional information that also gets collected along with it. This important information embedded in the time-series data must be described as its characteristics.
Yugesh Verma ·
A Guide to Bayesian Statistics in Python for Beginners
Yugesh Verma ·
Get Ready for the Year’s Most Prestigious Hackathon Presented by Genpact
Genpact and Envision Racing, in association with MachineHack, invite data scientists, machine learning developers and artificial intelligence enthusiasts to showcase their skills and expertise.
Amit Naik ·
Shiv Nadar University Delhi-NCR Launches An Annual Championship To Recognize Future Business Leaders In Data Analytics
Participate in the championship and compete to win and be recognized as a Data Analytics Champion for 2021!
Amit Naik ·
Latest Technology Innovation To Watch Out For At NVIDIA GTC 2021
Hear first-hand from the leading AI innovators from across the world including Tech leaders of India.
Amit Naik ·
Nominations Open For 40Under40 Data Scientists Awards 2022
The 2022 nominations for the 40Under40 Awards are open. The nominations are open till November end.
kumar Gandharv ·
Why NVIDIA GTC 2021 Is a Must-Attend AI Conference
GTC brings together brilliant minds from across the globe, to showcase the latest developments in AI. With 500+ sessions including technical, business strategy and sessions designed to accelerate tech careers, this makes GTC the must-atten…
Amit Naik ·
Word2Vec vs GloVe - A Comparative Guide to Word Embedding Techniques
word embedding term is used for the representation of words for text analysis. There are different models used for word embedding tasks.
Yugesh Verma ·
All The Key Announcements Made At Google Cloud Next 2021
In August, Google announced that it would invest $10 billion over the next five years to strengthen cybersecurity.
Amit Naik ·
Meet The Winners of Latest MachineHack Hackathon: Work Hour Prediction Challenge
The challenge was a part of the new MachineHack Fortnight Hackathon Series, where unique problem statements are provided every week to test one's data science skills and abilities.
Victor Dey ·
An Introductory Guide to Few-Shot Learning for Beginners
Few-shot learning can also be called One-Shot learning or Low-shot learning is a topic of machine learning subjects where we learn to train the dataset with lower or limited information.
Yugesh Verma ·
A Survival Guide To Data Science Information Overload
Here are a few tips for aspiring or professional data scientists on how to remain focused during information overload.
Debolina Biswas ·
Top Papers Presented At DLDC 2021
All the accepted papers are published in Lattice – an international peer-reviewed and refereed journal on machine learning, hosted and managed by the Association of Data Scientists (ADaSci).
kumar Gandharv ·
[Tech Wars] Zerodha Vs Groww
We use little to no AI or ML apart from some basic image/document recognition ML models for document processing, says Zerodha CTO.
Amit Naik ·
A Beginner’s Guide to Hoeffding Tree with Python Implementation
A Hoeffding tree is an incremental decision tree that is capable of learning from the data streams. The basic assumption about the data is that data is not changing over time helps in building a Hoeffding tree
Yugesh Verma ·
A Guide to Multilevel Modeling in Machine Learning
Multilevel modelling is a technique for dealing with data that has been clustered or grouped. Data with repeated measures can also be analyzed using multilevel modelling.
Vijaysinh Lendave ·
Do You Want To Deploy Responsible AI In Your Organization? Join This Session To Operationalize Responsible AI
This session is designed to help you learn best practices & techniques for driving Responsible AI in your organization, achieve fairness in AI deployment and gain customer trust.
AIM Media House ·
Complete Guide to Understanding ROC Curves
Aishit Dharwal ·
An Illustrated Guide to Dynamic Neural Networks for Beginners
Dynamic Neural networks can be considered as the improvement of the static neural networks by adding more decision algorithms we can make neural networks learning dynamically for the input.
Yugesh Verma ·
A Guide to Stochastic Process and Its Applications in Machine Learning
Many physical and engineering systems use stochastic processes as key tools for modelling and reasoning.
Vijaysinh Lendave ·