Machine learning and artificial intelligence have become critical tools for dealing with global pandemics like COVID-19 by helping health organizations respond to emergencies. Machine learning is also widely used in industries like financial services, oil and gas, government, retail, and transportation. While machine learning algorithms have existed for some time, recent developments allow them to automatically perform complex calculations on large datasets. Common examples of machine learning applications include self-driving cars, online recommendations, sentiment analysis on social media, and fraud detection. Effective machine learning systems require data preparation, algorithms, automation, scalability, and ensemble modeling. The document advertises machine learning training bootcamps and courses that cover concepts, principles, techniques, and the application of machine learning

3. In a global virulent disease like COVID-19,
technology, machine learning, artificial
intelligence, and data science have become
successful and critical to help societies perfectly
to deal with the outbreak.
In addition to assisting health organization in
emergencies like the corona-virus pandemic,
machine learning technology has become really
requisite in financial services, oil and gas industry,
government, retail and transportation.

5. As multiple machine learning algorithms have
been around for a long time, the aptitude to
automatically apply complex mathematical
calculations to big data is a recent development.
A handful widely prevalent examples of machine
learning applications include:
• The self-driving Google car
• Online recommendation offers such as those
from Amazon and Netflix
• Knowing what customers are saying about
you on Twitter
• Fraud detection

7. A few elements required to create effective
machine learning systems:
• Data preparation capabilities
• Algorithms – basic and advanced
• Automation and iterative processes
• Scalability
• Ensemble modeling

9. Machine Learning Training Bootcamp,
Duration : 3-days
Technical training course where participants
comprehend and master ideas on machine
learning concepts, key principles, and techniques
including supervised and unsupervised learning,
mathematical and heuristic aspects, modeling to
develop algorithms, prediction, linear regression,
clustering, classification and prediction.

10. Machine Learning for Control Training,
Duration : 3-days
This is a training course that covers the rudiments
of machine learning, a form and application of
artificial intelligence (AI), and the fundamentals
of control theory, an area of engineering related
to control of continuously operating dynamical
systems in engineered processes and machines.

12. Machine Learning Training , AI Courses
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