Tag - Facebook

1. What is AI?

The fourth industrial revolution: a primer on Artificial Intelligence (AI) “The last 10 years have been about building a world that is mobile-first. In the next 10 years, we will shift to a world that is AI-first.” (Sundar Pichai, CEO of Google, Octo...

3 Major Impacts of Machine Learning on Manufacturing Today

In this special guest feature, Gary Brooks, CMO at Syncron, outlines three areas where manufacturers can incorporate machine learning today, and start seeing immediate results. With 20 years of marketing experience, Gary is a revenue focused B2B mark...

6 Interesting Things You Can Do with Python on Facebook Data

Facebook has a huge amount of __data Enthusiast. In this article, I will be sharing my experience with you on how you can use the Facebook Graph API for analysis with Python and pandas. Facebook has a huge amount of data that is available for you to...

7th MilanoR Meeting live on Facebook

(This article was first published on MilanoR, and kindly contributed to R-bloggers) This is an update on the 7h MilanoR meeting and MilanoR new Facebook page. You would like to attend the meeting but could not get a ticket? Follow the live event onli...

Advice For Applying To Data Science Jobs

A comprehensive guide to applying for a job in comments By Emily Robinson, Datacamp. Following Dave Robinson’s sage tweet to write a blog post when you’ve given the same advice three times, this post is a collection of my thoughts and recommendations...

AI Ethics and The New Digital Divide

General sentiment towards AI has been consistently trending negatively over the last couple of years. More and more news pieces are featured on the regular news cycle depicting AI companies as bad  actors. And, what’s more concerning, algorithms them...

Apache Cassandra Turns 10

As Apache Cassandra (C*) celebrates its 10th anniversary, we wanted to observe this special time with the infographic below provided by our friends over at DataStax, industry experts on the open source project. You’ll see many insights on how C* has...

Bad Data + Good Models = Bad Results

No matter how advanced is your Machine Learning algorithm, the results will be bad if the input data is bad. We examine one popular IMDB dataset and discuss how an analyst can deal with such data. comments By Kaiser Fung. One of the key themes in Num...