Machine Learning Techniques – Learning Made Easy

Machine learning is an application that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. In this course you will learn the various Machine Learning algorithms, Artificial Intelligence and Deep learning concepts.

E-Box Exclusive
Learn through our Scientifically Designed & Proven 5 Step Practice Oriented Learning Process
Machine Learning Techniques – Learning Made Easy
CONTACT US FOR DEMO
Includes
  • 66 hands-on practice exercises
  • 9 Assessment exercises
  • 242 knowledge based questions
  • Lifetime access
About the Course

In this course, you will learn about various branches in Machine learning, Artificial Neural Networks, classification and clustering and Deep Learning.

Course Objectives

Upon successful completion of the course, the learner will be able to

  • Master the various concepts in Machine Learning Techniques.

  • Learn how Machine Learning Techniques plays an important role in AI and ML algorithms.

Course Content
Similarity and Metric Learning

In this topic, you will learn about finding the similarity between two features using distance metrics.

  • 2 Hrs
  • 24 Problems
Association rule learning

In this topic, you will learn about discovering interesting relations between variables in large databases using Association Rule Learning.

Decision tree learning

In this topic, you will learn about decision making using a decision support tool that uses a tree-like model of decisions.

  • 6 Hrs 15 Mins
  • 43 Problems
Artificial Neural Networks

In this topic, you will learn about replicating the way that the humans learn using Artificial Neural Networks.

  • 2 Hrs
  • 26 Problems
Support vector machines

In this topic, you will learn about performing classification by finding the hyperplane that differentiate the two classes using Support Vector Machines.

  • 6 Hrs 15 Mins
  • 43 Problems
Bayesian networks

In this topic, you will learn about building probabilistic directed acyclic graphical model(network) to compute probability and classify.

  • 2 Hrs
  • 25 Problems
Clustering Algorithms

In this topic, you will learn about various clustering algorithms that group set of objects in such a way that objects in the same group are more similar to each other.

  • 4 Hrs
  • 51 Problems
Representation learning, Reinforcement learning, Sparse dictionary learning

In this topic, you will learn about systems that automatically discover the representations needed for feature detection or classification from raw data through Representation Learning and automatically performing some actions and seeing the results to learn how to behave in a environment using Reinforcement Learning.

  • 1 Hrs 15 Mins
  • 19 Problems
Deep Learning - Back Propagation

In this topic, you will learn about constructing a network of neurons, training them by adjusting their weights using Back Propagation.

  • 2 Hrs 15 Mins
  • 20 Problems
Deep Learning - Convolution Network

In this topic, you will learn about classifying images and perform object recognition using Deep Convolution Network.

  • 2 Hrs
  • 34 Problems
Deep Learning - Reinforcement Model

In this topic, you will learn about combining feedforward neural networks with temporal-difference learning to train a program to learn to play certain board games like backgammon

  • 1 Hrs
  • 32 Problems
You will Learn through our Scientifically Designed & Proven 5 Step Practice Oriented Learning Process
iLearn
In this session, you will find video lectures and other resources to learn the concepts.
iDesign
In this session, you will start designing and creating your own programs.
iExplore
In this session, you will find interesting set of activities which will make you explore more on the specific topic.
iAssess
In this session, you will have activities to self assess your knowledge and skills on the specific topic.
iAnalyse
In this session, you will find varieties of exercises to improve your code analysis, testing and debugging skills.
Why should you choose E-Box for Learning & Skilling ?
Practice Oriented Learning

Learning through E-Box is completely Hands-on and practice based thereby helping you understand the intricacies of Live Project Scenarios

High Quality Content

E-Box’s programs and Courses are designed by Professionals in the Industry & Academicians, assuring a quality learning experience

24 x 7 Support

With 100’s Mentors online ready to get your Doubts clarified and to Hand Hold you, you will always have someone to sort things our for you

Industry Mentors

All our Mentors are Top Professionals from their respective Industries. In E-Box you Learn and get mentored by professionals

Auto Evaluation

Auto Evaluation is the Core of E-Box. Your solutions and answers are evaluated instantaneously by E-Box, thereby saving learners a lot of time

AI Blended Learning

With Auto - Evaluation being the core of the Platform, E-Box uses AI & ML to assist Learners during their course of Study

Personalised Learning

E-Box’s AI algorithms provide you with Exercises that are Personalised and Adaptive based on your Interest and Calibre

Real Time Metrics

Data becomes the core for evolving a personalised learning. E-Box uses these metrics for an Auto Corrective Learning Process

A - Z, You name the company and You will find our alumni.
We have successfully moulded over 10 lakh students from 100+ colleges and universities and we have a very strong alumni network across the globe
What do our Tutors and Learners Say about E-Box ?
I love the way E- Box teaches topics in such detail. The practical examples along with the Practice quizzes makes me skilled in each

Harihara Budra P, XII std

Harihara Budra P, XII std
Still have any Queries ? Contact us Now
Call us on +91 9500045254