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Machine Learning Course Syllabus

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Explore Machine Learning Training in Chennai at SLA Institute with our comprehensive training program. Learn key concepts such as supervised learning, unsupervised learning, regression, classification, and neural networks. Gain practical experience using popular tools like TensorFlow and scikit-learn through hands-on projects. Our instructors at SLA Institute provide a supportive environment for applying machine learning techniques to real-world data and scenarios across different industries. Special modules cover Machine Learning Basics, Deep Learning, and Model Deployment, preparing you for roles in data science and AI. Benefit from SLA Institute’s Machine Learning Course with 100% Placement Support to start a career in this innovative field.

Course Syllabus

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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
  • 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
  • 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

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