Machine Learning Course
Overview of Machine Learning Course
Machine Learning Course: Elysium Academy, Machine learning is an area of computer science and artificial intelligence which includes the development of algorithms and software which can make predictions based on data.
We help you to learn complex theory, algorithms and coding libraries in a simple way. Our experts help to enhance the skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
Our course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Elysium Academy provides a Machine Learning Course, bigdata course will make you an expert in machine learning.
Rating For Elysium Academy
Why learn Machine Learning?
The machine Learning training and certification courses focusing on creating system to used and learn from large sets of database. Our machine learning certificate guides participants through the technical approaches and latest advancements in artificial intelligence. Such as natural language processing, deep learning, predictive analytics, and algorithmic methods.
Learning Outcomes
Fundamentals of using data to train machines
Linear regression with multiple variables using learn r programming
Representation of an artificial neural network
Principle of component Analysis for data modeling
Course Outline
Our advanced professional certification programs and high-quality mock courses serve as a gateway for the learners interested in starting their career in the Global IT sector.- Machine learning basics
- Classifying with k-Nearest Neighbors
- Splitting datasets one feature at a time: decision trees
- Classifying with probability theory: naïve Bayes
- Logistic regression
- Support vector machines
- Improving classification with the AdaBoost meta-algorithm
- Predicting numeric values: regression
- Tree-based regression
- Grouping unlabeled items using k-means clustering
- Association analysis with the Apriori algorithm
- Efficiently finding frequent itemsets with FP-growth
Months Course
| Certification | Yes |
|---|---|
| Course Type | Mid-Term |
| Level | Core Level |
Exam Feature & Intro Video
| Exam Number | -- |
|---|---|
| Tools Using | Windows 2012/2016 |
| Exam Duration | 2 Hrs (34 questions) |
Course Features
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Robust Support
High-tech Lab
Proficient Faculties
Ample Experience
Live seminars
Reliable Certification
No 1: Masters
Unrelenting Dedication
From Top Level Industry
Personalized Learning
Placement assistance
Innovative Courseware
Pre-Requirement Skills
Opening Hours
- 8am - 8pm
- 10am - 1pm
- 8am - 4pm
- 10am - 2pm
Content Include
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- This is the 2nd item
- Course Certificate
- Course Material
- Video Tutorial
- Exam Guidance
- Industrial Visit
Technical Knowledge Delivery
Machine Learning Course
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Course Description
Machine Learning Course
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Overview of Machine Learning Course
Machine Learning Course: Machine learning is an area of computer science and artificial intelligence which includes the development of algorithms and software which can make predictions based on data.
We help you to learn complex theory, algorithms and coding libraries in a simple way. Our experts help to enhance the skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
Our course provides a broad introduction to machine learning, data mining, and statistical pattern recognition. Elysium Academy provides a Machine Learning Course, bigdata course will make you an expert in machine learning.
Rating For Elysium Academy
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Why learn Machine Learning?
The machine Learning training and certification courses focusing on creating system to used and learn from large sets of database. Our machine learning certificate guides participants through the technical approaches and latest advancements in artificial intelligence. Such as natural language processing, deep learning, predictive analytics, and algorithmic methods.
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Learning Outcomes
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Fundamentals of using data to train machines
Linear regression with multiple variables using learn r programming
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Representation of an artificial neural network
Principle of component Analysis for data modeling
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Course Outline
Course Outline
Our advanced professional certification programs and high-quality mock courses serve as a gateway for the learners interested in starting their career in the Global IT sector.
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CLASSIFICATION:
Machine learning basics
Classifying with k-Nearest Neighbors
Splitting datasets one feature at a time: decision trees
Classifying with probability theory: naïve Bayes
Logistic regression
Support vector machines
Improving classification with the AdaBoost meta-algorithm
FORECASTING NUMERIC VALUES WITH REGRESSION:
Predicting numeric values: regression
Tree-based regression
UNSUPERVISED LEARNING:
Grouping unlabeled items using k-means clustering
Association analysis with the Apriori algorithm
Efficiently finding frequent itemsets with FP-growth
Months Course
Certification
Yes
Course Type
Mid-Term
Level
Core Level
3
Exam Feature & Intro Video
Exam Number
—
Tools Using
Windows 2012/2016
Exam Duration
2 Hrs (34 questions)
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560
350
Features
Course Features
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Pre-Requirement Skills
Pre-Requirement Skills
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Skill Needs
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Opening Hours
We are open to serve the learners from Monday to Sunday, during the business hours.
Monday – Saturday8am – 8pm
Sunday10am – 1pm
Content Include
Course Certificate
Course Material
Video Tutorial
Exam Guidance
Industrial Visit
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Technical Knowledge Delivery
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EA aims to impart high quality technical education to the learners, through our novel certified courses, innovative teaching methodologies and interactive sessions.
