What is Machine Learning ?
Are you fascinated by how Amazon recommends the products you’ll like or Have you wondered what is the Google algorithm that shows you such accurate search results ?
Machine Learning is behind these innovations. Machine learning is a field of computer science that gives computers the ability to learn without being explicitly programmed. Typical machine learning tasks are concept learning, function learning or “predictive modeling”, clustering and finding predictive patterns. These tasks are learned through available data that were observed through experiences or instructions. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
What is this course about?
Advance your Machine Learning journey and start learning some concepts and techniques that are core to Machine Learning. BigDataHorizon’s Machine Learning course has been designed by professional Data Scientists to help you learn complex theory, algorithms and coding libraries in a simple way. This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications.
What are the Course Objectives?
By the end of this course you will:
Who should do this course?
What are the System Requirements for this Course?
In order to successfully undergo our course, you’ll need a computer which satisfies minimum system requirements. This includes:
To execute the practical, you need to install R studio which will be shown during the course.
|Chapter 1 - Data Preprocessing|
|Different Data Processing Methods|
|Chapter 2 - Regression Modelling|
|Simple Linear Regression|
|Multiple Linear Regression|
|Decision Tree Regression|
|Random Forest Regression|
|Chapter 3 - Classifications|
|Decision Tree Classification|
|Random Forest Classification|
|Chapter 4 - Clustering|
|Chapter 5 - Association Rule Learning|
|Chapter 6 - Reinforcement Learning|
|Upper Confidence Bound|
|Chapter 7 - Natural Language Processing|
|Bag-of-words model and algorithms for NLP|
|Chapter 8 - Deep Learning|
|Artificial Neural Networks|
|Convolutional Neural Networks|
|Chapter 9 - Dimensionality Reduction|
|PCA, LDA, Kernel PCA|
|Chapter 10 - Model Selection & Boosting|
|k-fold Cross Validation, Parameter Tuning, Grid Search|
Data Architect at Anthem, Orange County, California
Co-Founder of BigDataHorizon
Alumni of IIM AHMEDABAD
Harish Kumar P V
Data Engineer at Leading MNC in US
Big Data - Architect , Designer
Co-Founder of BigDataHorizon
Alumni of London Business School
There are no specific prerequisites to be eligible for our Machine Learning Training Course. As an early professional or an engineering student, you can go ahead and enroll for our training course.
Your doubts and queries regarding our Big Data Training Course – answered!
1. Who will train me? How do you select faculties?
You will be trained by leading industry experts who are highly qualified and certified as instructors. We select faculties with extreme care so that you get the best possible training experience.
2. What are the different training models you offer?
We offer only instructor-led training for Business Analytics Course.
3. What if I miss a class or training session?
When you choose our Machine Learning Training Course, you need not worry about missing a class or training session. We’ll provide you with prerecorded video content which you can access at any time. And, if you miss any instructor session, you can always attend the missed session with any other live batch.
4. How can I enroll for your training?
You can enroll for our Machine Learning Training Course right here on our website
5. How do I pay for the training course?
We accept a variety of payment options, which include online money transfer, credit and debit cards (Visa, Mastercard. You can choose any of these payment options as per your convenience.
6. Do you offer group discounts?
Yes, we do! To find out more about what group discounts we offer on our AWS Cloud Training Course, please get in touch with us.
7. How do I learn more about your training course?