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.
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
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.
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.
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.
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.
What does this have to do with my IT & Cybersecurity log analysis
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.
If you're new to this thread I suggest you start here with the introductory blog, AI & Cybersecurity
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This article serves as a gentle introduction to natural language processing and how it makes life better.