Data Science and Machine Learning Platforms Statistics 2023
– Everything You Need to Know

Last Updated on by | Reviewed by Editorial Staff

Data Science And Machine Learning Platforms Statistics 2023: Facts about Data Science And Machine Learning Platforms outlines the context of what’s happening in the tech world.

LLCBuddy editorial team did hours of research, collected all important statistics on Data Science And Machine Learning Platforms, and shared those on this page. Our editorial team proofread these to make the data as accurate as possible. We believe you don’t need to check any other resources on the web for the same. You should get everything here only 🙂

Are you planning to form an LLC? Maybe for educational purposes, business research, or personal curiosity, whatever the reason is – it’s always a good idea to gather more information about tech topics like this.

How much of an impact will Data Science And Machine Learning Platforms Statistics have on your day-to-day? or the day-to-day of your LLC Business? How much does it matter directly or indirectly? You should get answers to all your questions here.

Please read the page carefully and don’t miss any words.

Top Data Science And Machine Learning Platforms Statistics 2023

☰ Use “CTRL+F” to quickly find statistics. There are total 15 Data Science And Machine Learning Platforms Statistics on this page 🙂

Data Science And Machine Learning Platforms “Latest” Statistics

  • According to the U.S. Bureau of Labor Statistics, employment in the industry will increase by 27.9% through 2026 as a result of the need for data science capabilities.[1]
  • A recent report by IBM and Burning Glass states that there will be 364K new job openings in data-driven professions by 2020 in the US.[1]
  • According to KD Nuggets, there were 48 instruments with 2% or more of the market in 2018, and among them, 14 had a loss in share while 34 saw a gain.[2]
  • The top 11 tools have the same percentage of market share in 2019 as they had in 2018.[2]
  • RapidMiner kept its share at around 51%, which was a reflection of both a large user base and a successful campaign to motivate its users.[2]
  • The tools that were part of the KD Nuggets poll in 2018 that reached at least 25 voters and had a share increase of 20% or more.[2]
  • The 20th annual KD Nuggets Software Poll had over 1,800 participants, and the average voter chose 6.1 different tools, so voters with just one choice stood out.[2]
  • The inaugural “Netflix Prize” competition was sponsored in 2006 by media services company Netflix to identify a software that could more accurately forecast user preferences and raise the accuracy of its current Cinematch movie recommendation algorithm by at least 10%.[3]
  • Some machine learning solutions make use of data and six learning algorithms, which operate under the premise that previous success is a good predictor of future success.[3]
  • The top Data Science courses are all included in Coursera Plus, an annual subscription that provides access to more than 3,000 courses, Specializations, Professional Certificates, and Guided Projects.[4]
  • In addition to the enormous demand, there is a severe lack of data scientists who are qualified, with 39% of the most demanding data science occupations needing a degree greater than a bachelors.[1]
  • In the case of the MicroMasters, passing the classes and earning a certificate will credit toward 30% of the Rochester Institute of Technology (RIT)’s complete Master of Science in Data Science degree.[5]
  • Apache Hadoop was identified as the second most crucial ability for a data scientist, according to a research by Villanova University, by 49% of data scientists.[6]
  • In 2018, Python surpassed R as the most widely used language for data science, with 66% of data scientists reporting using it daily.[6]
  • The Villanova University analysis on the data analytics skill gap states that 56% of data scientist employment include SQL as a necessity.[6]

Also Read

Reference

  1. mit – https://micromasters.mit.edu/ds/
  2. kdnuggets – https://www.kdnuggets.com/2019/05/poll-top-data-science-machine-learning-platforms.html
  3. wikipedia – https://en.wikipedia.org/wiki/Machine_learning
  4. medium – https://medium.com/javarevisited/5-best-mathematics-and-statistics-courses-for-data-science-and-machine-learning-programmers-bf4c4f34e288
  5. learndatasci – https://www.learndatasci.com/best-data-science-online-courses/
  6. techtarget – https://www.techtarget.com/searchenterpriseai/tip/11-data-science-skills-for-machine-learning-and-AI

About Author & Editorial Staff

Steve Goldstein, founder of LLCBuddy, is a specialist in corporate formations, dedicated to guiding entrepreneurs and small business owners through the LLC process. LLCBuddy provides a wealth of streamlined resources such as guides, articles, and FAQs, making LLC establishment seamless. The diligent editorial staff makes sure content is accurate, up-to-date information on topics like state-specific requirements, registered agents, and compliance. Steve's enthusiasm for entrepreneurship makes LLCBuddy an essential and trustworthy resource for launching and running an LLC.

Leave a Comment