What you'll learn:
- To understand how these different domains fit together, how they are different, and how to avoid the marketing fluff.
- The Impacts of Machine Learning and Data Science is having on society.
- To really understand computer technology has changed the world, with an appreciation of scale.
- To know what problems Machine Learning can solve, and how the Machine Learning Process works.
- How to avoid problems with Machine Learning, to successfully implement it without losing your mind!
Course offers:
- One on one Live interactive sessions by our team of experts.
- Personalized live classes and feedback.
- Doubt removal sessions
- Daily assignments
- 24x7 immediate customer support
Requirements:
- Basic computer skills
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Knowledge of Fundamentals of Mathematics.
Course content:
Duration : 24h
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Class #1: Introduction
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Class #2: Inductive Classification
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Class #3: Decision Tree Learning
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Class #4: Ensemble Learning
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Class #5: Experimental Evaluation of Learning Algorithms
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Class #6: Computational Learning Theory
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Class #7: Rule Learning: Propositional and First-Order
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Class #8: Artificial Neural Networks
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Class #9: Support Vector Machines
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Class #10: Bayesian Learning
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Class #11: Instance-Based Learning
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Class #12: Text Classification
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Class #13: Clustering and Unsupervised Learning
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Class #14: Language Learning
Projects you will do:
Machine Learning works in a similar way to human learning. For example, if a child is shown images with specific objects on them, they can learn to identify and
Machine Learning works in a similar way to human learning. For example, if a child is shown images with specific objects on them, they can learn to identify and
Description:
Machine Learning is a sub-area of artificial intelligence, whereby the term refers to the ability of IT systems to independently find solutions to problems by recognizing patterns in databases. In other words: Machine Learning enables IT systems to recognize patterns on the basis of existing algorithms and data sets and to develop adequate solution concepts. Therefore, in Machine Learning, artificial knowledge is generated on the basis of experience.
Skills you will acquire:
- Probability and Statistics.
- Data Modeling and Evaluation.
- Applying Machine Learning Algorithms and Libraries.
- Software Engineering and System Design.
Description:
Machine Learning is a sub-area of artificial intelligence, whereby the term refers to the ability of IT systems to independently find solutions to problems by recognizing patterns in databases. In other words: Machine Learning enables IT systems to recognize patterns on the basis of existing algorithms and data sets and to develop adequate solution concepts. Therefore, in Machine Learning, artificial knowledge is generated on the basis of experience.
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