By Aileen – 5 min read
How do you get started in data science, when you don’t have a science degree? As I explored the job offers, nearly all of them listed education in maths, statistics, computer science or at least a quantitative field as a requirement. And I don’t have it.
Data Science Project Flow for Startups
By Shay Palachy – 19 min read
I was recently asked by a startup I’m consulting (BigPanda) to give my opinion about the structure and flow of data science projects, which made me think about what makes them unique.
The 6 most useful Machine Learning projects of the past year
By George Seif – 4 min read
The past year has been a great one for AI and Machine Learning. Many new high-impact applications of Machine Learning were discovered and brought to light, especially in healthcare, finance, speech recognition, augmented reality, and more complex 3D and video applications.
The real reason AI is difficult
By Cassie Kozyrkov – 6 min read
This Christmas, my friend’s grandmother finally found out what her grandson had been working on for years. He’s a data scientist raised on English with a bit of Spanish that gets dusted off on occasional family occasions. His grandmother speaks only Spanish.
10 Data Science Tools I Explored in 2018
By Ben Weber – 6 min read
In 2018, I invested a good amount of time in learning and writing about data science methods and technologies. In the first half of 2018, I wrote a blog series on data science for startups, which I turned into a book.
Master Python through building real-world applications (Part 4)
By Dhrumil Patel – 10 min read
Every once in a while, there comes a new programming language and along with that great community to support that. Python has been around for a while now so it is safe for me to say that Python is not a language, it is a religion.
Data Science with Medium Story Stats in Python
By Will Koehrsen – 12 min read
Medium is a great place to write: no distracting features, a large – yet civil – readership, and, best of all, no advertisements. However, one aspect where it falls short is in the statistics you can see for your articles.
How to use machine learning for anomaly detection and condition monitoring
By Vegard Flovik – 13 min read
In this article, I will introduce a couple of different techniques and applications of machine learning and statistical analysis, and then show how to apply these approaches to solve a specific use case for anomaly detection and condition monitoring.
Creating voice assistant for games (tutorial for FIFA)
By Chintan Trivedi – 5 min read
Voice Assistants like Amazon Alexa and Google Home have become widely popular for automating and simplifying execution of mundane, everyday-tasks. They allow users to quickly get things done by using their voice, without having to go through multiple interactions with their phones or computers.
Doing Data the Right Way
By Yish Lim – 10 min read
The notion of ethics in Data Science first occurred to me when I was learning how to scrape the web for data. Newly-equipped with the ability to easily capture and store any information merely printed online, I was having fun scraping different websites just for the sake of it.
