Machine Learning Training Syllabus

Enhance your software development skills with our industry-relevant Machine Learning Course Syllabus and prepare yourself for new-gen tech jobs. Learn how to predict outcomes accurately through software apps and ML algorithms by our Machine Learning Course Curriculum as it covers the ML environment, fundamentals of ML, OOPs, classes for ML, packages and exception handling, machine learning app developments, utility packages, and framework developments, and generics.

Machine Learning Language Environment

Object Oriented
Platform Independent
Automatic Memory Management
Compiled / Interpreted Approach
Robust
Secure
Dynamic Linking
Multi Threaded
Built-In Networking

Machine Learning Fundamentals

Data Types
Operators
Control Statements
Arrays
Enhanced For-Loop
Enumerated Types
Static Import
Auto Boxing
C-Style Formatted I/O
Variable Arguments

Essentials Of Object-Oriented Programming

Object And Class Definition
Using Encapsulation To Combine Methods And Data In A Single Class
Inheritance And Polymorphism

Writing Machine Learning Classes

Encapsulation
Polymorphism
Inheritance
OOP In Machine Learning
Class Fundamentals
Using Objects
Constructor
Garbage Collection
Method Overloading
Method Overriding
Static Members
Understanding Interface
Using Interfaces Class

Packages

Why Packages
Understanding Classpath
Access Modifiers And Their Scope

Exception Handling

Importance Of Exception Handling
Exception Propagation
Exception Types
Using Try And Catch
Throw, Throws, Finally
Writing User Defined Exceptions

I/O Operations In Machine Learning

Byte Oriented Streams
File Handling
Readers And Writers

Multi Threaded Programming

Introduction To Multi-Threading
Understanding Threads And Its States
Machine Learning Threading Model
Thread Class And Runnable Interface
Thread Priorities
Thread Synchronization
Inter Thread Communication
Preventing Deadlocks

Developing Machine Learning APPS

Defining A Solution Without Writing Code
Organizing A Concept Solution
Creating A Program Skeleton
Defining Error Checking Requirements
Introduction To Application Security

Network Programming

Introduction To Networking
Inet Address
URL
TCP Socket And Server Socket
UDP Socket
Developing A Chat Application

Machine Learning Util Package / Collections Framework

Collection And Iterator Interface
Enumeration
List And ArrayList
Vector
Comparator
Set Interface And SortedSet
Hashtable
Properties

Generics

Introduction To Generics
Using Built-In Generics Collections
Writing Simple Generic Class
Bounded Generics
Wild Card Generics

Inner Classes

Nested Top Level Classes
Member Classes
Local Classes
Anonymous Classes

Abstract Window Toolkit

Graphics
Color And Font
AWT Components/Controls
Event Handling And Layouts

Swing Programming

Introduction To Swing And MVC Architecture
Light Weight Component
Swing Hierarchy
Atomic Components E.G. JButton, JList And More
Intermediate Container E.G. JPanel, JSplitPane And More
Top-Level Container E.G. JFrame And JApplet
Swing Related Events

Regular Expressions

Introduction
Match function
Search function
Grouping
Matching at Beginning or End
Match Objects
Flags
Exercise

Conclusion

Become a master in ML algorithm and software developments to utilize historical data for predicting new output values through our Machine Learning Training in Chennai. Book a free demo class to check out our Machine Learning Course Curriculum and Institute infrastructure.