Deep Tech
Reporting, analysis and features from AIM's Deep Tech section.
Guide To Text Classification using TextCNN
Text classification is a process of providing labels to the set of texts or words in one, zero or predefined labels format, and those labels will tell us about the sentiment of the set of words.
Yugesh Verma ·
Beginner's Guide to Generative Adversarial Networks (GANs)
Generative adversarial networks, also known as GANs is an algorithmic architecture is used widely in the field of image generation. GANs can be taught to automatically create many things such as images, music, speech, or prose.
Victor Dey ·
Beginner’s Guide To Machine Learning With Apache Spark
Pyspark is a data analysis tool created by the Apache Spark community for using Python and Spark. It allows you to work with Resilient Distributed Dataset(RDD) and DataFrames in python.
Vijaysinh Lendave ·
Rakuten India Announces Rakuten Product Conference — Applied AI Theme
An exclusive conference on applied artificial intelligence, organised by Rakuten India, in association with AIM, featuring speakers from fintech, retail & eCommerce domains. Join us on August 19th & 20th to be a part of the conversation wh…
AIM Media House ·
JAX Vs TensorFlow Vs PyTorch: A Comparative Analysis
JAX is a Python library designed for high-performance numerical computing.
Avi Gopani ·
Guide To VOLO: Vision Outlooker For Visual Recognition
VOLO is a simple yet powerful CNN model architecture used for visual recognition and helps achieve fine-level token representation.
Victor Dey ·
Register For This Live Webinar: What To Expect & How To Get Started With A Career In Data Science
Z by HP in association with Analytics India Magazine, brings you a live webinar to bust some common myths and to share insights on how to boost your career prospects in data science.
AIM Media House ·
Hands-On Workshop: Accelerate PyTorch Applications Using Intel oneAPI Toolkit
Get a hands-on understanding of using the Intel oneAPI AI Analytics toolkit to accelerate PyTorch applications with this free workshop
Sejuti Das ·
Comprehensive Guide To Time Series Analysis Using ARIMA
Victor Dey ·
Guide To Simple Object Detection Using InceptionResnet_v2
When performing standard image classification, we present that image to the neural network for a given input image...
Vijaysinh Lendave ·
Guide To Customized Data Augmentation Using Tensorflow
The recent advancement in deep learning models has been largely attributed to the quantity and diversity of data gathered...
Vijaysinh Lendave ·
A Beginner’s Guide to Self-Supervised Classification
in the self supervised learning process we are mainly focused about making the data workable to the downstream algorithms. but when using the self-supervised learning we make the data specifically for classification we can say the process…
Yugesh Verma ·
MLDS 2022: Major Highlights From Previous Years
For those attending MLDS for the first time, consider this article as a peep into what you are in for!
Shraddha Goled ·
Analytics Olympiad Organised By Shiv Nadar University & AIM Ends On A High Note
The Olympiad received over 1000 registrations from across the country. After undergoing a stringent qualifying round, 250 participants were selected, of which the top ten got an opportunity to give an in-person presentation at Shiv Nadar U…
Shraddha Goled ·
Python 3.10 And Its New Features
Here’s all the major features of Python’s latest version -- Python 3.10.
Debolina Biswas ·
Introductory Guide to Linear Discriminant Analysis
Dimensionality reduction is the transformation of data from high dimensional space into a low dimensional space so that low dimensional space representation retains nearly all the information ideally saying all the information only by redu…
Vijaysinh Lendave ·
Guide To CropNet for Plant Disease Protection
Crop disease impacts the growth of the respective species; early detection of the disease is critical. Therefore...
Vijaysinh Lendave ·
What’s Wrong With The Paper Review Process Of Reputed ML Conferences?
Ram Sagar ·
A Guide to Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Barlow twins is a novel architecture inspired by the redundancy reduction principle in the work of neuroscientist H. Barlow.
Pavan Kandru ·
Webinar On Multi–Touch Attribution: Fusing Math and Games
Ram Sagar ·