How to Use Autoencoder for Anomaly Detection

Posted by Shaswat Anand on Jul 28, 2020 8:00:00 AM

In our previous blogs on Artificial Intelligence and Everyday Life, we learned the basics of how our computers can be trained to think like humans and work like them. Now let’s move on to some actual application of what we learned and understand about one of the most versatile neural network models - The Autoencoder.

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Topics: Artificial Intelligence, anomalies, anomaly detection, neural networks

Supervised vs Unsupervised Learning

Posted by Ashwin Jain on May 14, 2020 8:00:00 AM

In this blog, we will walk through Supervised and Unsupervised Learning and answer these questions: 

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Topics: Machine Learning, Artificial Intelligence, AI, Unsupervised Learning, Supervised Learning

Working Under Supervision

Posted by Dhiraj Sharan on Apr 16, 2020 8:00:00 AM

Introduction

Like it or not, most of us have a boss, and thus, we work under supervision. Our boss's job is to make sure we stay focused and complete our work. We have quotas to fulfill and projects to complete. They know what the desired and expected outcomes are, the same way data scientists understand the result they are trying to produce with supervised learning.

 

Supervised learning using Python

This blog is the third one of the series on learning Machine Learning using Python. In the first one, DataScience & Machine Learning: Where to start with Python, we covered setting up Python and installing the relevant libraries. In the second one Looking further into Machine Learning using Python, we covered different machine learning techniques and became familiar with supervised learning. We also talked about the scikit-learn toolkit and saw the SVM approach used due to its flexibility and usefulness.

Photo by Brooke Lark on Unsplash
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Topics: Machine Learning, Artificial Intelligence, Supervised Learning, Linear regression, Logistic regression

What is Natural Language Processing? A Beginners Guide

Posted by Srot Sinha on Apr 9, 2020 8:30:00 AM

In this blog we will answer the most common questions asked by beginners in NLP.

Question: What is Natural Language Processing?

Answer: Natural Language Processing (NLP) is a programming technique by which computers can understand the language spoken or transcribed, based on the intent. It sounds very trivial, but it is not! Understanding a language is very difficult, as people can have conversations in many different ways, and based on tone and connotation, can change the meaning of the conversation.

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Topics: Artificial Intelligence, Natural Language Processing, NLP

AI & Cybersecurity - Part 4: AI Assistance for Simplification

Posted by Alexis Vander Wilt on Jan 28, 2020 3:55:04 PM

Part 4: Applications of Artificial Intelligence and Machine Learning for Task Simplification

Welcome back and thanks for tuning in! This is part 4 of this series on AI & Cybersecurity. The focus of this article is the application of Artificial Intelligence and Machine Learning that are making life simpler.

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Topics: AI for Security, Machine Learning, Artificial Intelligence, Cyber Security, Natural Language Processing, NLP

Into the Abyss with Deep Learning

Posted by Shaswat Anand on Jan 14, 2020 2:52:56 PM

The term Deep Learning(DL) seems quite fascinating and people often get confused between it and Machine Learning, so let me simplify it for you.

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Topics: Machine Learning, Artificial Intelligence, Deep Learning

AI & Cybersecurity - Part 3: Adversarial AI

Posted by Alexis Vander Wilt on Jan 7, 2020 1:40:02 PM

Adversarial Application of Artificial Intelligence and Machine Learning

Welcome back and thanks for tuning in! This is part 3 of this series on AI & Cybersecurity. The focus of this article is the adversarial application of Artificial Intelligence and Machine Learning.

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Topics: AI for Security, Machine Learning, Artificial Intelligence, Cyber Security

Alexa + Watson + Tableau + Slack

Posted by Dhiraj Sharan on Jan 2, 2020 9:49:30 AM

What does this have to do with my IT & Cybersecurity log analysis

Introduction

Cyber threats are accelerating by leaps and bounds in frequency and sophistication. At the same time, the cybersecurity skills shortage is growing, a projected 1.8 million empty positions by 2022. Artificial Intelligence(AI) will have a pivotal role to play to halt these growing problems.

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Topics: AI for Security, Machine Learning, Artificial Intelligence, Cyber Security, Splunk, Elastic

AI & Cybersecurity - Part 2: Threat Detection, Prevention, and Remediation

Posted by Alexis Vander Wilt on Dec 13, 2019 4:58:18 PM

If you're new to this thread I suggest you start here with the introductory blog, AI & Cybersecurity

If you like this content, follow us on Linkedin and subscribe to updates.

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Topics: Threat Detection, AI for Security, Machine Learning, Artificial Intelligence, Cyber Security

Basics of Applied Natural Language Processing (NLP)

Posted by Dhiraj Sharan on Dec 12, 2019 2:32:17 PM

Introduction

This article serves as a gentle introduction to natural language processing and how it makes life better.

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Topics: Introduction, Artificial Intelligence, Cyber Security, Natural Language Processing, NLP