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Top Algorithms and Methods Used by Data Scientists
Here are the results, based on 844 voters.
The top 10 algorithms (and methods) and their share of voters are:
Fig. 1: Top 10 algorithms & methods used by Data Scientists.
See full table of all algorithms and methods at the end of the post.
(Note: The goal of the poll was to find the top tools used by Data Scientists, but the word "tools" is ambiguous, so for simplicity I originally called this table top 10 "algorithms". More >>
I’m not a machine learning expert. I’m a software engineer by training and I’ve had little interaction with AI. I had always wanted to delve deeper into machine learning, but never really found my “in”. That’s why when Google open sourced TensorFlow in November 2015, I got super excited and knew it was time to jump in and start the learning journey. Not to sound dramatic, but to me, it actually felt kind of like Prometheus handing down fire to mankind from the Mount Olympus of machine learning. In the back of my head was the idea that the entire field of Big Data and technologies like Hadoop were vastly accelerated when Google researchers released their Map Reduce paper. This time it’s not a paper – it’s the actual software they use internally after years and years of evolution.
So I started learning what I can about the basics of the topic, and saw the need for gentler resources for people with no experience in the field. This is my attempt at that. More >>
Ok, you're here, now I'm really excited and the party can start!
Please fill out the following as honestly as possible. It should take 5-10 minutes and is totally anonymous.
- help people feel less alone
- you'll get to see the aggregated results
- it's my birthday! (Actually) More >>
This is an invitation to collaborate. In particular, it is an invitation to collaborate in framing how we look at and develop machine intelligence. Even more specifically, it is an invitation to collaborate in the construction of a Periodic Table of AI. More >>
HealthcareGuys News is all about providing articles related to healthcare topics assembled and curated from selectively picked blog sites. Apart from providing the content, the site also provides different statistics and analytics like how many times the article was Tweetted, shared in Facebook or LinkedIn, liked by the healthcare enthusiasts, etc. The best part is, we can get to the most trending articles for each day, for the week, month, quarter or for a whole year based on the share count.