Ads
related to: coursera data analytics by google reviews book- Explore the Certificates
Flexible online training.
No experience necessary.
- Browse All Programs
Learn job-ready skills.
100% remote, online learning.
- No Experience Necessary
Learn job-ready skills.
Flexible online training.
- Learn at Your Own Pace
Train online at your own pace.
Gain in-demand skills.
- Project Management
Become a project manager.
Learn at your own pace.
- Data Analytics
Become a data analyst.
Prepare for a new career.
- Explore the Certificates
Search results
Results From The WOW.Com Content Network
Coursera Inc. (/ k ər ˈ s ɛ r ə /) is an American global massive open online course provider. It was founded in 2012 [2] [3] by Stanford University computer science professors Andrew Ng and Daphne Koller. [4] Coursera works with universities and other organizations to offer online courses, certifications, and degrees in a variety of subjects.
A data science MOOC began in May 2013. [74] In May 2013, Coursera announced free e-books for some courses in partnership with Chegg, an online textbook-rental company. Students would use Chegg's e-reader, which limits copying and printing and could use the book only while enrolled in the class. [75]
In 2011, Ng founded the Google Brain project at Google, which developed large-scale artificial neural networks using Google's distributed computing infrastructure. [44] Among its notable results was a neural network trained using deep learning algorithms on 16,000 CPU cores , which learned to recognize cats after watching only YouTube videos ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
Dr. Wolfgang Greller and Dr. Hendrik Drachsler defined learning analytics holistically as a framework. They proposed that it is a generic design framework that can act as a useful guide for setting up analytics services in support of educational practice and learner guidance, in quality assurance, curriculum development, and in improving teacher effectiveness and efficiency.
Ads
related to: coursera data analytics by google reviews book