Getting started with Python & Machine Learning

Machine learning is eating the world right now. Everyone and their mother are learning about machine learning models, classification, neural networks, and Andrew Ng. You’ve decided you want to be a part of it, but where to start?

In this article we’ll cover some important characteristics of Python and why it’s great for machine learning. […]

By |August 3rd, 2017|News|0 Comments

MonkeyLearn + Zapier Integration

We are excited to announce our MonkeyLearn integration with Zapier!

Wouldn’t be amazing if you had a simple idea on how to automate a manual workflow with AI and just try it out in a couple of minutes?

Labeling your emails, tagging customer support tickets or organizing billing invoices are just a few examples of manual […]

By |June 29th, 2017|News|0 Comments

An introduction to Support Vector Machines (SVM)

So you’re working on a text classification problem. You’re refining your training set, and maybe you’ve even tried stuff out using Naive Bayes. But now you’re feeling confident in your dataset, and want to take it one step further. Enter Support Vector Machines (SVM): a fast and dependable classification algorithm that performs very well with a limited amount of data. […]

By |June 22nd, 2017|News|2 Comments

A practical explanation of a Naive Bayes classifier

The simplest solutions are usually the most powerful ones, and Naive Bayes is a good proof of that. In spite of the great advances of the Machine Learning in the last years, it has proven to not only be simple but also fast, accurate and reliable. It has been successfully used for many purposes, but it works particularly well with natural language processing (NLP) problems. […]

By |May 25th, 2017|News|12 Comments

Analyzing 10 years of startup news with Machine Learning

Analyzing startup news — part 3

This is the final part in a series where we use machine learning and natural language processing to analyze articles published in tech news sites in order to gain insights about the state of the startup industry. […]

By |May 11th, 2017|News|2 Comments

Creating machine learning models to analyze startup news

Analyzing startup news — part 2

This is the second part in a series where we analyze thousands of articles from tech news sites in order to get insights and trends about startups.

Last time around we scraped all the articles ever published in TechCrunch, VentureBeat and Recode using Scrapy. We then filtered out all the articles that weren’t about startups, […]

By |April 11th, 2017|How To|0 Comments

Filtering startup news with Machine Learning

Analyzing startup news — part 1

On this new post series, we will analyze hundreds of thousands of articles from TechCrunch, VentureBeat and Recode to discover cool trends and insights about startups.

What are the hottest industries for startups right now?
Do machine learning startups get more press than fintech startups?
What is the startup segment with most acquisitions?

These are the […]

By |March 13th, 2017|How To|0 Comments

Introducing Google Sheets add-on for MonkeyLearn

Today, we’re excited to announce our brand new integration with Google Sheets!

Doing things with machine learning often feels like having superpowers. You can find out what people think about the different candidates on a major presidential election, analyze millions of hotel reviews to find out that London hotels have the worst food and […]

By |February 22nd, 2017|How To, News|0 Comments

How to create text classifiers with Machine Learning

Building a quality machine learning model for text classification can be a challenging process. You need to build a training dataset, test different parameters for your model, fix the confusions, among other things.

On this post, we will describe the process on how you can successfully train text classifiers with machine learning using MonkeyLearn […]

By |January 31st, 2017|Guides|0 Comments

Analyzing the conversation during the US Election Day

Donald Trump has been elected 45th president of the United States of America and the surprising outcome has been reflected on the conversation on social media.

We recently released a simple tool called Tarsier that uses machine learning to analyze the conversation around the US elections […]

By |November 9th, 2016|News|0 Comments