2 Courses and Certifications

TCS iON Machine Learning Courses & Certifications

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Machine Learning for Real-World Application

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Certificate

Machine Learning for Real-World Application

Machine Learning for Real-World Application Training course is a specialized course that helps learners understand the practical applications and advanced approaches of machine learning, an integral part of artificial intelligence technology. The course has a duration of 5 to 6 months and it varies according to the semester pattern in the university or institution of the learners.

The Machine Learning for Real-World Application Certification by TCS iON will be taught through digital lectures, digital learning resources and industry assignments and evaluated through a final summative assessment. The course led by industry experts provides both internship and job opportunities to learners. After successful completion, learners will receive a verifiable digital certificate.

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6 Months
December 31 - June,29 2022
20,000
Skills Covered:
Knowledge of Algorithms Machine learning
R and Machine Learning Fundamentals

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Certificate

R and Machine Learning Fundamentals

Large volumes of data are routinely collected in today's scientific and economic industries. Making informed decisions requires the ability to analyze data and learn from it. Machine Learning using R enables the visualization of data, the execution of statistical tests, and the application of Machine Learning algorithms. R and Machine Learning Fundamentals online course teach how the artificial intelligence branch requires minimal human interaction and how the AI system gathers knowledge from data, detects patterns, and makes decisions.

R and Machine Learning Fundamentals certification course is presented by TCS iON in collaboration with Packt Publishing Ltd is a British educational company that aims to provide skill development training to working people. R and Machine Learning Fundamentals online training include 2 hours of thorough video lectures spanning 12 separate modules covering subjects such as data types, subsetting, control structures, data visualization with R, supervised and unsupervised machine learning, and many more.

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1 Weeks
1,115
Skills Covered:
R Programming Machine learning Knowledge of deep learning Knowledge of Data Visualization

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