Deep Tech
Reporting, analysis and features from AIM's Deep Tech section.
Hands-On Guide To Darts - A Python Tool For Time Series Forecasting
In this article, we will learn about Darts, implement this over a time-series dataset.
Bhoomika Madhukar ·
Researchers Decode Brain Scans To Generate Text
Ram Sagar ·
What To Expect From Qualcomm’s Cloud AI 100 Chipset's ML Development Kit
Ambika Choudhury ·
Behind The TikTok Fiasco: Another Shot By US Tech Giants At Cloud Dominance
Ram Sagar ·
Complete Guide To QLattice: A New And Transparent Machine Learning Framework
In this article, we will learn about the following in detail:- Introduction to Qlattice How to implement Qlattice
Bhoomika Madhukar ·
Hands-On Tutorial On Lens: Python Tool For Swift Statistical Analysis
The lens is an open-source python library which is used for fast calculation of summary statistics and the correlation in the dataset. It helps us explore the properties of different attributes of the dataset in just a single line of code.
Himanshu Sharma ·
Social Media Monitoring: Emotional Analysis Using text2emotion In Python
Shivam Ravikumar Sharma ·
ROC-AUC Curve For Comprehensive Analysis Of Machine Learning Models
In this article, we will learn more about the ROC-AUC curve and how we make use of it to compare different machine learning models to select the best performing model.
Rohit Dwivedi ·
What Does Microsoft Aim To Accomplish With Underwater Data Center
Ram Sagar ·
Hands-On Tutorial On Holoviews - Automated Visualization Based On Short Data Annotations
Holoviews is an open-source python library that makes data visualization easier. Holoviews works on conveying the message that data is trying to tell rather than focusing on how to plot visualizations.
Himanshu Sharma ·
Hands-On Guide To BootStrap Sampling For ML Performance Evaluation
In this article, we will talk more about BootStrap Sampling and understand its working. We will first understand how bootstrapping works and then we will implement it on a data set.
Rohit Dwivedi ·
How To Predict Machine Failure Using Data Science
Asitav Sen ·
Everything You Need To Know About BigML
In this article, we will discuss the following points in detail:- What are the services of BigML? Creating a deep learning model with BigML
Bhoomika Madhukar ·
AI Dev Kits Puts Machine Learning Developers At An Advantage
Ram Sagar ·
Register for this Webinar : How Accelerated GPUs Help Data Scientists Gain Quicker Insights From Data
Ram Sagar ·
Complete Tutorial on Tkinter To Deploy Machine Learning Model
In this article, we will be exploring Tkinter - python GUI programming tool. We will explore how we can deploy a machine learning model and check real-time predictions using Tkinter.
Rohit Dwivedi ·
Microsoft Releases Latest Version Of DeepSpeed, Its Python Library For Deep Learning Optimisation
Ambika Choudhury ·
Complete Guide To Different Persisting Methods In Pandas
In this article, we will understand how CSV handles different file formats, explore different ways to store the data and the performance of each of these persisting methods.
Bhoomika Madhukar ·
Hands-On Tutorial On ExploriPy: Effortless Target Based EDA Tool
In this article, we will explore ExploriPy to perform EDA on a dataset and derive useful insights.
Himanshu Sharma ·
What is Dropouts And BatchNormalization In CNN?
Through this article, we will be exploring Dropout and BatchNormalization, and after which layer we should add them.
Rohit Dwivedi ·