Deep Tech
Reporting, analysis and features from AIM's Deep Tech section.
Guide To Building A ResNet Model With & Without Dropout
Through this article, we will explore the usage of dropouts with the ResNet pre-trained model.
Rohit Dwivedi ·
How Does PCA Dimension Reduction Work For Images?
In this article, we will demonstrate how to work on larger data and images using a famous dimension reduction technique PCA( principal component analysis).
Prudhvi varma ·
Hands-on Guide to StanfordNLP - A Python Wrapper For Popular NLP Library CoreNLP
StanfordNLP is a python wrapper for CoreNLP, it provides all the functionalities of CoreNLP to the python users.
Himanshu Sharma ·
Guide To Adversarial Validation To Reduce Overfitting in Machine Learning
In this article, we will focus on understanding how to overcome overfitting with adversarial validation and implement this on a sample dataset.
Bhoomika Madhukar ·
How To Create A Virtual Painting App Using OpenCV?
Prudhvi varma ·
AI Technologies That Featured In Latest Gartner Hype Cycle
Ram Sagar ·
Want Your ML Algorithm To Be Fair? Check These 8 Tools
Ram Sagar ·
How To Implement Drag And Drop Feature In Jupyter Notebook With Pivot Table
In this article, we will explore the different features of pivot table js and analyse the data in our dataset.
Bhoomika Madhukar ·
My Fun AI Project - How To Be Invisible?
In this implementation, we will learn how to create our own ‘Invisibility Cloak’ using simple computer vision techniques in OpenCV. Here we are using OpenCV because it provides the best-inbuilt libraries to implement this in a few steps.
Prudhvi varma ·
Detecting Anomalies in Wafer Manufacturing: Weekend Hackathon #18
Anurag Upadhyaya ·
Guide To Optimizers For Machine Learning
Ritacheta Das ·
How To Perform Set Operations On Pandas DataFrames
Through this article, we will understand what these set operations are and how they are used for comparison. In this experiment, we will first create two data frames and then will perform these sets of operations.
Rohit Dwivedi ·
Is Hopfield Networks All You Need? LSTM Co-Creator Sepp Hochreiter Weighs In
Ram Sagar ·
Random Forest Vs XGBoost - Comparing Tree-Based Algorithms (With Codes)
Through this article, we will explore both XGboost and Random Forest algorithms and compare their implementation and performance.
Rohit Dwivedi ·
Beginners Guide to Pyjanitor - A Python Tool for Data Cleaning
This article deals with an overview of what pyjanitor is, how it works and a demonstration of using this package to clean dirty data.
Bhoomika Madhukar ·
Effective Way To Replace Correlation With Predictive Power Score(PPS) In Python
Predictive Power Score works similar to the coefficient of correlation but has some additional functionalities.
Himanshu Sharma ·
Deep Learning DevCon 2020: Association of Data Scientists Launches It’s Latest Virtual Conference
Srishti Deoras ·
Hands-on Guide to Pattern - A Python Tool for Effective Text Processing and Data Mining
Pattern is an open-source python library and performs different NLP tasks. It is mostly used for text processing due to various functionalities it provides.
Himanshu Sharma ·
10 Most Used Databases By Developers In 2020
Ambika Choudhury ·
MXNet Tutorial: Complete Guide with Hands-On Implementation of Deep Learning Framework
In this article we will look into why MXNet? A complete overview of MXNet Implementation of MXNet on random data.
Bhoomika Madhukar ·