In this course, you will learn about various branches in Machine learning, Artificial Neural Networks, classification and clustering and Deep Learning.
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.
In this topic, you will learn about finding the similarity between two features using distance metrics.
In this topic, you will learn about discovering interesting relations between variables in large databases using Association Rule Learning.
In this topic, you will learn about decision making using a decision support tool that uses a tree-like model of decisions.
In this topic, you will learn about replicating the way that the humans learn using Artificial Neural Networks.
In this topic, you will learn about performing classification by finding the hyperplane that differentiate the two classes using Support Vector Machines.
In this topic, you will learn about building probabilistic directed acyclic graphical model(network) to compute probability and classify.
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.
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.
In this topic, you will learn about constructing a network of neurons, training them by adjusting their weights using Back Propagation.
In this topic, you will learn about classifying images and perform object recognition using Deep Convolution Network.
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
Learning through E-Box is completely Hands-on and practice based thereby helping you understand the intricacies of Live Project Scenarios
E-Box’s programs and Courses are designed by Professionals in the Industry & Academicians, assuring a quality learning experience
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
All our Mentors are Top Professionals from their respective Industries. In E-Box you Learn and get mentored by professionals
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
With Auto - Evaluation being the core of the Platform, E-Box uses AI & ML to assist Learners during their course of Study
E-Box’s AI algorithms provide you with Exercises that are Personalised and Adaptive based on your Interest and Calibre
Data becomes the core for evolving a personalised learning. E-Box uses these metrics for an Auto Corrective Learning Process