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.
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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.
- 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.
- 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.
- The top 11 tools have the same percentage of market share in 2019 as they had in 2018.
- 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.
- 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.
- 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.
- 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%.
- 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.
- 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.
- 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.
- 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.
- 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.
- In 2018, Python surpassed R as the most widely used language for data science, with 66% of data scientists reporting using it daily.
- The Villanova University analysis on the data analytics skill gap states that 56% of data scientist employment include SQL as a necessity.
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- mit – https://micromasters.mit.edu/ds/
- kdnuggets – https://www.kdnuggets.com/2019/05/poll-top-data-science-machine-learning-platforms.html
- wikipedia – https://en.wikipedia.org/wiki/Machine_learning
- medium – https://medium.com/javarevisited/5-best-mathematics-and-statistics-courses-for-data-science-and-machine-learning-programmers-bf4c4f34e288
- learndatasci – https://www.learndatasci.com/best-data-science-online-courses/
- techtarget – https://www.techtarget.com/searchenterpriseai/tip/11-data-science-skills-for-machine-learning-and-AI