AI Trends
Reporting, analysis and features from AIM's AI Trends section.
A tutorial on building end-to-end Deep Learning models in PyTorch
Through this tutorial, we will demonstrate how to define and use a convolutional neural network (CNN) in a very easy way by explaining each of the steps in detail.
Vijaysinh Lendave ·
5 ways machine learning uses CI/CD in production
To implement CI/CD, the business uses GitOps with Jenkins to execute code quality checks and smoke tests in the test environment using production-like runs.
Abhishree Choudhary ·
Top networking courses available online
Recent developments in the networking industry have increased the demand for networking professionals in India and offer a secure work-life amidst the pandemic.
Akashdeep Arul ·
PyTorch vs TensorFlow - Which is Better Deep Learning Library
This article we will walk you through and compare the code usability and ease to use of TensorFlow and PyTorch on the most widely used MNIST dataset to classify handwritten digits.
Vijaysinh Lendave ·
Major data distributions a data scientist should know
Different distributions of data and their properties is one such area of statistics in which a data scientist has to have crystal clear clarity.
Sreejani Bhattacharyya ·
Top laptops for Python programming in 2022
The Microsoft Surface Book 2 is a fantastic option for any coders out there, as it is one of the most powerful 2-in-1 laptops available
Abhishree Choudhary ·
All you need to know about Graph Embeddings
Embeddings can be the subgroups of a group, similarly, in graph theory embedding of a graph can be considered as a representation of a graph on a surface, where points of that surface are made up of vertices and arcs are made up of edges
Yugesh Verma ·
How can SMOTE technique improve the performance of weak learners?
In this article, we will discuss how SMOTE technique can be used to improve the performance of weak learners such as SVM.
Vijaysinh Lendave ·
How to Evaluate Recommender Systems with RGRecSys?
A recommender system, sometimes known as a recommendation engine, is a type of information filtering system that attempts to forecast a user's "rating" or "preference" for an item. In this post, we will look at RGRecSys, a library that per…
Vijaysinh Lendave ·
Top tools for enabling CI/CD in ML pipelines
Jenkins is a popular continuous integration and continuous delivery (CI/CD) Java application that runs on Windows, Mac OS X, and other Unix-like operating systems.
Abhishree Choudhary ·
Building and modelling a graph neural network from scratch
Graph neural networks that can operate on the graph data can be considered graph neural networks. Using graph data any neural network is required to perform tasks using the vertices or nodes of the data.
Yugesh Verma ·
How can Fuzzy Logic be used for rule-based decision-making?
In this article, we will take a look at another possible methodology to make decisions at a more minute level, that is Fuzzy logic systems.
Vijaysinh Lendave ·
What is Uplift modelling and how can it be done with CausalML?
In this article, we will discuss the uplift modelling, its types of modelling, and Python-based package called CausalML can be used to address the causal inference.
Vijaysinh Lendave ·
Top 10 Real-Life Applications of Genetic Optimization
Genetic algorithms have a variety of applications, and one of the basic applications of genetic algorithms can be the optimization of problems and solutions. We use optimization for finding the best solution to any problem. Optimization us…
Yugesh Verma ·
Top Infrastructure as Code tools for 2022
AWS's CloudFormation is a built-in IaC solution that addresses DevOps needs.
Abhishree Choudhary ·
How to Visualize Backpropagation in Neural Networks?
The backpropagation algorithm computes the gradient of the loss function with respect to the weights. these algorithms are complex and visualizing backpropagation algorithms can help us in understanding its procedure in neural network.
Yugesh Verma ·
How is image segmentation done using Image-Level Supervision?
In this article, we will talk about how to segment images at the image level using the image-level supervision approach.
Vijaysinh Lendave ·
How to query data for Computer Vision tasks using VisionKG?
In this article, we will discuss the VisionKG in detail and will see how it can query the dataset like COCO and ImageNet.
Vijaysinh Lendave ·
Top 5 online resources to learn RPA
After completing this course, you'll have the RPA and Power Automate skills and knowledge necessary to design your own Power Automate processes.
Abhishree Choudhary ·
What is new in PyCaret 2.3.6?
On January 12th, 2022, the new version of PyCaret, PyCatret 2.3.6, was released with new exciting features.
Yugesh Verma ·