Deep Tech
Reporting, analysis and features from AIM's Deep Tech section.
New Weekend Hackathon For Data Scientists: Soccer Fever Challenge
AIM Media House ·
Hands-On Guide To Monte Carlo Simulation With Its Significance
Monte Carlo simulation, also known as the Monte Carlo method or multiple probability simulations, is a mathematical tool used to estimate the possible outcomes of uncertainty in an event.
Vijaysinh Lendave ·
Jurassic-1 vs GPT-3 vs Everyone Else
With its 178 billion parameters, Jurassic-1 is slightly bigger (3 billion more) than GPT-3.
Avi Gopani ·
Guide To Image Reconstruction Using Principal Component Analysis
Images consist of a lot of pixels that help retain their clarity. Still, as the number of images to process increases its size, it can significantly slow down the system’s performance. We can use the Image Reconstruction technique to overc…
Victor Dey ·
Guide to DORO: Distributional and Outlier Robust Optimization
DORO is a robust outlier refinement of DRO that takes inspiration from its robust statistics. The refined risk function, which prevents DRO from overfitting to potential outliers, intuitively, the new risk function adaptively filters out a…
Victor Dey ·
Hands-On Guide to Multi-Class Classification Using Mobilenet_v2
Innovation of deep neural networks has given rise to many AI-based applications and overcome the difficulties faced by computer vision-based applications such image classification, object detections etc. and frameworks like Tensorflow, PyT…
Vijaysinh Lendave ·
Importance Of Motherboard In Deep Learning
A study of not just your present, but future requirements in terms of expanding the number of GPU units, memory slots, PCIe lanes, heat control system— defines the type of motherboard you need
Gourav Mishra ·
Intel® Announces oneAPI DevSummit, Asia-Pacific & Japan — An Exclusive Event For HPC & AI Developers
Intel announces oneAPI DevSummit, APJ, for HPC and AI developers working with CPU & GPU. Join us at the summit scheduled for 15th September 2021.
AIM Media House ·
Hands-On Guide To ROCK Clustering Algorithm
ROCK(a RObust Clustering using linKs) is a algorithms for clustering the categorical data. algorithm computes and uses the link for making the clusters of give data.
Yugesh Verma ·
Meet The Winners Of Weekend Hackathon - Music Genre Classification at MachineHack
Krishna Rastogi ·
Hands-On Guide To Word Embeddings Using GloVe
Creating representations of words is to capture their meaning, semantic relationship, and context of different words; here, different word embedding techniques play a role. A word embedding is an approach used to provide dense vector repre…
Vijaysinh Lendave ·
Solving Machine Learning Problems On Kaggle Vs Real Life
According to Kaggle, the most commonly used algorithms were linear and logistic regression, followed closely by decision trees and random forests.
Amit Naik ·
Guide To Build A Simple Sentiment Analyzer Using TensorFlow-Hub
Sentiment analysis is a part of natural language processing used to determine whether the sentiment of the data under observation is positive, negative or neutral. Usually, sentiment analysis is carried on text data to help professionals m…
Vijaysinh Lendave ·
Beginner’s Guide To OpenNRE Toolkit
OpenNRE provides a framework for the implementation of relation extraction models as an open-source toolkit. Various trained models are available in the package.
Yugesh Verma ·
A Beginner's Guide To TensorFlow
TensorFlow allows developers to create dataflow graphs, which are structures that describe how the data moves through a graph, or a series of processing nodes present.
Victor Dey ·
Hands-On Guide To Algorithm Configuration Using SMAC
Many algorithms belong to the family of tree and ensemble, which are hard for computational problems and exposed to many hyperparameters that can be modified to improve the performance. However, manually exploring those parameters and sett…
Vijaysinh Lendave ·
New Weekend Hackathon For Data Scientists: The Tea Story
In yet another Weekend Hackathon, MachineHack is back with an exciting challenge for the data scientists’ community to analyse the temporal nature of tea prices and forecast the weekly average price of tea.
AIM Media House ·
A Complete Guide to ktrain: A Wrapper for TensorFlow Keras
ktrain is a lightweight wrapper library for TensorFlow Keras. It can be very helpful in building projects consisting of neural networks. Using this wrapper, we can build, train and deploy deep learning and machine learning models.
Yugesh Verma ·
Genpact Launches ‘Dare in Reality’ Hackathon: Predict Lap Timings For An Envision Racing Qualifying Session
Enter to build a model that predicts lap times for a qualifying session.
Amit Naik ·
A Guide to River - A Python Tool For Online Learning
What if you want to do machine learning with the data that is in motion? What if you wish to train machine learning models on real-time data? The answer is Online Machine Learning
Vijaysinh Lendave ·