Machine Learning Course Syllabus
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Embark on a journey into the exciting world of Machine Learning! Our Machine Learning course syllabus will introduce you to the cutting-edge techniques that enable computers to learn from data, make predictions, and solve complex problems. Explore a wide range of algorithms, from simple linear regression to sophisticated deep learning models, and gain hands-on experience with real-world applications in our machine learning syllabus for beginners. Our syllabus of machine learning course provides a comprehensive introduction to the principles and techniques of Machine Learning.
Course Syllabus
Download SyllabusMachine 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
Learn to apply Machine Learning techniques to real-world problems, develop practical projects, and build a strong foundation for a successful career in the field of Artificial Intelligence through our machine learning course.
