Remove tree-based-machine-learning-models-how-they-work-in-plain-english
article thumbnail

Tree-Based Machine Learning Models: How They Work (In Plain English!)

Dataiku

In the last post in the Top Machine Learning Algorithms: How They Work (In Plain English!) series, we went through a basic overview of machine learning and introduced a few key categories of algorithms and explored the most basic one, linear models.

article thumbnail

Natural Language Processing: How It Works (In Plain English!)

Dataiku

In the prior posts in the How They Work (In Plain English!) Today, we’ll dive into Natural Language Processing (NLP), which overlaps with each of these topics in different ways.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Recommendation Engines: How They Work (in Plain English!)

Dataiku

In the previous posts in the How They Work (in Plain English!) series, we went through a high-level overview of machine learning and have explored two key categories of supervised learning algorithms — linear and tree-based models — and two key unsupervised learning techniques, clustering and dimensionality reduction.

article thumbnail

Dimensionality Reduction: How It Works (In Plain English!)

Dataiku

In the previous three posts in the How They Work (In Plain English!) series, we went through a high-level overview of machine learning and took a deep dive into two key categories of supervised learning algorithms — linear and tree-based models — and the most popular unsupervised learning technique, clustering.

article thumbnail

Clustering: How it Works (in Plain English!)

Dataiku

In the previous two posts in the How They Work (in Plain English!) series, we went through a high level overview of machine learning and took a deep dive into two key categories of supervised learning algorithms — linear and tree-based models.

article thumbnail

Sentiment Analysis in Hotel Reviews: Developing a Decision-Making Assistant for Travelers

Altexsoft

How long does it take an average traveler to pick up a hotel? It applies natural language processing (NLP) and machine learning to detect, extract, and study customers’ perceptions about the product or service. You can learn much more about types, tools, and use cases of sentiment analysis in our dedicated blog post.

Hotels 64
article thumbnail

Deep Learning and the Future of Artificial Intelligence

Altexsoft

But how is this even possible? Well, the technology behind such “magic” is called deep learning. In this post, we’ll explain what deep learning is, how it works, how it’s different from traditional machine learning, and what areas it can be applied within. What is deep learning?