AI News, Artificial Intelligence Outperforms Human Data Scientists
- On Saturday, February 17, 2018
- By Read More
Artificial Intelligence Outperforms Human Data Scientists
Artificial intelligence may be poised to ease theshortage of data scientists who build models that explain and predict patterns in the ocean of“Big Data” representingtoday’s world.
“If you look at the growth indemand for people with data science abilities, it’sfar outpacing the number of people who havethose skills.” The Data Science Machine can automatically createaccurate predictive models based on raw datasets within two to 12 hours;
The reason for such high demand for data scientists comes fromBig Data’s revolutionary promiseof tapping into vast collections of data—whether it’s the onlinebehavior of social media users, the movements offinancial markets worth trillions of dollars, or the billions of celestial objects spotted bytelescopes—toexplain and predict patterns in the huge datasets.
But how do you transforma sea of raw data into information that can help businesses or researchers identify and predict patterns?Human data scientists usuallyhave to spend weeks or months working on their predictive computer algorithms.
Such a time-consuming part of the data scientists’ job description inspired Kanter, an MIT grad student at the time, andKalyan Veeramachaneni, a research scientist atMIT’sComputer Science and AI Lab who acted as Kanter’s master’s thesis advisor, to try creating acomputer program that could automate the biggest bottlenecks indata science.
theautomation of the “featureengineering” process of identifying and extracting relevant variables from the sea of raw data.A second part of the new MIT software focuseson auto-tuning:figuring out the best set of parameters to generate the best predictions from the data.
”Typically the Data Science Machine doeswell andbeats many humans, but some humans beat it,” Kanter explained.“So it would be naive to say human data scientists don’t have any value.” Kanter andVeeramachaneni see the Data Science Machine as an automated tool that can empower data scientists and make them more efficientrather than putting them out of ajob.
Data Science Machine’s efficient results might be good enough for an astronomer working in a university lab, or the marketing arm oftraditional retail business that has yet to really build a data science team.As Kanter pointedout: In the future world we’re headed for, where every company makes data-driven decisions, you can’t just make existing data scientists more efficient;
- On Thursday, June 27, 2019
Robust approach to machine learning models comparison - Dmitry Larko, Sr. Data Scientist, H2O.ai
This presentation was recorded at #H2OWorld 2017 in Mountain View, CA. Enjoy the slides: Learn more..
Machine Learning Algorithms | Machine Learning Tutorial | Data Science Training | Edureka
Data Science Training - ) This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use..
Introduction to Data Science with R - Data Analysis Part 1
Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling,...
Data Science: Viable Career? (2018 & Beyond)
Get My BEST-SELLING Book, The Complete Software Developer's Career Guide For FREE ◅ ▻ SUBSCRIBE TO THIS CHANNEL ◅ If You want to..
Developing Data Science products - Jan Zyśko, Magdalena Kalbarczyk
Developing Data Science products - Agile approach at Grupa Pracuj Jan Zyśko, Magdalena Kalbarczyk Description We use a case study to present the approach to developing Data Science products...
How to Become a Data Scientist in 2017? | Data Scientist Career | Data Science Future
About the Webinar : Agenda of this session will include answers to the following questions: 1. Why is it the best time to take up Data Science as a career? 2. How can you take the first step...
Data Science Tutorial for Beginners - 1 | What is Data Science? | Data Analytics Tools | Edureka
Data Science Training - ) Data Science Blog Series: Please write back to us at firstname.lastname@example.org
Logistic Regression in R | Machine Learning Algorithms | Data Science Training | Edureka
Data Science Training - ) This Logistic Regression Tutorial shall give you a clear understanding as to how a Logistic Regression machine learning algorithm..
Data Science - Part III - EDA & Model Selection
For downloadable versions of these lectures, please go to the following link: This lecture introduces the concept of EDA, understanding,..
Data Science Methodology 101 - Modeling Concepts
Enroll in the course for free at: Data Science Methodology Grab you lab coat, beakers, and pocket calculator…wait what?..