@anasnasim12 shared a post, 2 months, 1 week ago

Machine Learning for Cybersecurity

Everything about Machine Learning for Cybersecurity and in-between.

ML for CS
@amitkumra shared a post, 6 months, 2 weeks ago

Microsoft Azure Machine Learning ‚ÄĒ Getting started with Machine Learning services

Machine Learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed.

@attique_anwar shared a post, 6 months, 4 weeks ago

Machine Learning: Diving Deeper

What it is? Why does it Matter? How does it work?

@evangertis shared a post, 7 months ago

Concept Hierarchy

In data we can visualize relationships in a hierarchical structure. As scientists our goal is to not only understand the data, but more importantly we want to be able to visualize the connections between pieces of information.

@aniketkardile shared a post, 7 months ago

Normal Distribution Or Gaussian Distribution In Just 5 Minutes

What is Normal Distribution In Statistics and What is the Empirical Formula?

@thenjikubheka shared a post, 7 months, 1 week ago

Stock Market Analysis Using Python Pandas

Python pandas is one of the most important tools to have in your toolbox as a Data Scientist.

@sonaalpradeep shared a post, 8 months ago

Shakespeare’s Monkey and the Genetic Algorithm

A beginner's guide to genetic algorithms, plus a little bit more…

@jasondeden shared a post, 8 months, 4 weeks ago

It’s the Principal of the Thing

My Introduction to Principal Component Analysis

@thenjikubheka shared a post, 9 months ago

Quantum Artificial Intelligence

In this article we want to develop a neural network that can measure a simulated qubit and return the correct value between 0 or 1.

@thenjikubheka shared a post, 9 months, 1 week ago

My Machine Learning Roadmap

I started off learning mathematics before code, there are various applications of mathematics. Particularly Applied Mathematics which led me to computer science, and most recently machine learning.

@victoriamaslova shared a post, 9 months, 2 weeks ago

Bayesian Hyperparameter Optimization of Gradient Boosting Machine

In this article we will walk through automated hyperparameter tuning using Bayesian Optimization. Specifically, we will optimize the hyperparameters of a Gradient Boosting Machine using the Hyperopt library (with the Tree Parzen Estimator algorithm).

@adesinaabdulra9 shared a post, 9 months, 3 weeks ago

Real-Time Messaging Spam Detection With Machine Learning in Python

In this tutorial, you’re going to build a real time spam detection web application. This application will be built with Python using the Flask framework and will include a machine learning model that you will train to detect SMS spam.

Post The Chief I/O Team
@mariah shared a post, 11 months, 1 week ago
Content & Community, FAUN

MLOps vs AIOps

There is a tendency to confuse MLOps and AIOps. While there are some common characteristics between the two, MLOps and AIOps are two different domains, are applied differently, and serve different goals.

Post The Chief I/O Team
@mariah shared a post, 1 year, 2 months ago
Content & Community, FAUN

Top 7 Open Source AIOps Tools

AIOps is the use of artificial intelligence to make IT operations management simple, accelerate the time to solve IT operations problems by automating their resolution. This post lists the most popular AIOps open source tools.

Post The Chief I/O Team
@mariah shared a post, 1 year, 3 months ago
Content & Community, FAUN

How Machine Learning and Artificial Intelligence are Disrupting DevOps

Many IT teams are currently working on digital transformation projects. After all, companies want to benefit from current technologies such as the cloud, machine learning (ML), and the Internet of Things (IoT).