aipython.pdf
1.4 MB
Python code for Artificial Intelligence: Foundations of Computational Agents
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CPU - Central Processing Unit
GPU - Graphics processing unit
NPU - Neural Processing Units
AMD - Advanced Micro Devices
GDI. - Graphical Device Interface
Clock / Cycle Per Instruction
CTRL - Control
GPU - Graphics processing unit
NPU - Neural Processing Units
AMD - Advanced Micro Devices
GDI. - Graphical Device Interface
Clock / Cycle Per Instruction
CTRL - Control
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12 Essential Math Theories for AI
Understanding AI requires a foundation in core mathematical concepts. Here are twelve key theories that deepen your AI knowledge:
Curse of Dimensionality:
Challenges with high-dimensional data.
Law of Large Numbers:
Reliability improves with larger datasets.
Central Limit Theorem:
Sample means approach a normal distribution.
Bayes' Theorem:
Updates probabilities with new data.
Overfitting & Underfitting:
Finding balance in model complexity.
Gradient Descent:
Optimizes model performance.
Information Theory:
Efficient data compression.
Markov Decision Processes:
Models for decision-making.
Game Theory:
Insights on agent interactions.
Statistical Learning Theory:
Basis for prediction models.
Hebbian Theory:
Neural networks learning principles.
Convolution:
Image processing in AI.
Familiarity with these theories will greatly enhance understanding of AI development and its underlying principles. Each concept builds a foundation for advanced topics and applications.
Understanding AI requires a foundation in core mathematical concepts. Here are twelve key theories that deepen your AI knowledge:
Curse of Dimensionality:
Challenges with high-dimensional data.
Law of Large Numbers:
Reliability improves with larger datasets.
Central Limit Theorem:
Sample means approach a normal distribution.
Bayes' Theorem:
Updates probabilities with new data.
Overfitting & Underfitting:
Finding balance in model complexity.
Gradient Descent:
Optimizes model performance.
Information Theory:
Efficient data compression.
Markov Decision Processes:
Models for decision-making.
Game Theory:
Insights on agent interactions.
Statistical Learning Theory:
Basis for prediction models.
Hebbian Theory:
Neural networks learning principles.
Convolution:
Image processing in AI.
Familiarity with these theories will greatly enhance understanding of AI development and its underlying principles. Each concept builds a foundation for advanced topics and applications.
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Famous programming languages and their frameworks
1. Python:
Frameworks:
Django
Flask
Pyramid
Tornado
2. JavaScript:
Frameworks (Front-End):
React
Angular
Vue.js
Ember.js
Frameworks (Back-End):
Node.js (Runtime)
Express.js
Nest.js
Meteor
3. Java:
Frameworks:
Spring Framework
Hibernate
Apache Struts
Play Framework
4. Ruby:
Frameworks:
Ruby on Rails (Rails)
Sinatra
Hanami
5. PHP:
Frameworks:
Laravel
Symfony
CodeIgniter
Yii
Zend Framework
6. C#:
Frameworks:
.NET Framework
ASP.NET
ASP.NET Core
7. Go (Golang):
Frameworks:
Gin
Echo
Revel
8. Rust:
Frameworks:
Rocket
Actix
Warp
9. Swift:
Frameworks (iOS/macOS):
SwiftUI
UIKit
Cocoa Touch
10. Kotlin:
- Frameworks (Android):
- Android Jetpack
- Ktor
11. TypeScript:
- Frameworks (Front-End):
- Angular
- Vue.js (with TypeScript)
- React (with TypeScript)
12. Scala:
- Frameworks:
- Play Framework
- Akka
13. Perl:
- Frameworks:
- Dancer
- Catalyst
14. Lua:
- Frameworks:
- OpenResty (for web development)
15. Dart:
- Frameworks:
- Flutter (for mobile app development)
16. R:
- Frameworks (for data science and statistics):
- Shiny
- ggplot2
17. Julia:
- Frameworks (for scientific computing):
- Pluto.jl
- Genie.jl
18. MATLAB:
- Frameworks (for scientific and engineering applications):
- Simulink
19. COBOL:
- Frameworks:
- COBOL-IT
20. Erlang:
- Frameworks:
- Phoenix (for web applications)
21. Groovy:
- Frameworks:
- Grails (for web applications)
Best Programming Resources: https://topmate.io/coding/898340
ENJOY LEARNING 👍👍
1. Python:
Frameworks:
Django
Flask
Pyramid
Tornado
2. JavaScript:
Frameworks (Front-End):
React
Angular
Vue.js
Ember.js
Frameworks (Back-End):
Node.js (Runtime)
Express.js
Nest.js
Meteor
3. Java:
Frameworks:
Spring Framework
Hibernate
Apache Struts
Play Framework
4. Ruby:
Frameworks:
Ruby on Rails (Rails)
Sinatra
Hanami
5. PHP:
Frameworks:
Laravel
Symfony
CodeIgniter
Yii
Zend Framework
6. C#:
Frameworks:
.NET Framework
ASP.NET
ASP.NET Core
7. Go (Golang):
Frameworks:
Gin
Echo
Revel
8. Rust:
Frameworks:
Rocket
Actix
Warp
9. Swift:
Frameworks (iOS/macOS):
SwiftUI
UIKit
Cocoa Touch
10. Kotlin:
- Frameworks (Android):
- Android Jetpack
- Ktor
11. TypeScript:
- Frameworks (Front-End):
- Angular
- Vue.js (with TypeScript)
- React (with TypeScript)
12. Scala:
- Frameworks:
- Play Framework
- Akka
13. Perl:
- Frameworks:
- Dancer
- Catalyst
14. Lua:
- Frameworks:
- OpenResty (for web development)
15. Dart:
- Frameworks:
- Flutter (for mobile app development)
16. R:
- Frameworks (for data science and statistics):
- Shiny
- ggplot2
17. Julia:
- Frameworks (for scientific computing):
- Pluto.jl
- Genie.jl
18. MATLAB:
- Frameworks (for scientific and engineering applications):
- Simulink
19. COBOL:
- Frameworks:
- COBOL-IT
20. Erlang:
- Frameworks:
- Phoenix (for web applications)
21. Groovy:
- Frameworks:
- Grails (for web applications)
Best Programming Resources: https://topmate.io/coding/898340
ENJOY LEARNING 👍👍
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Essential programming language for Android app development 👇👇
1. Java: Java has been the traditional and most widely used programming language for Android app development. It is the official language for Android development and provides a robust set of tools and libraries for building Android apps.
2. Kotlin: Kotlin is a modern, concise, and expressive programming language that has gained popularity among Android developers. It is fully interoperable with Java and offers many features that make Android app development more efficient and less error-prone.
3. C++: While not as commonly used as Java or Kotlin, C++ can be used for developing performance-critical parts of an Android app, such as game engines or graphics-intensive applications.
4. Python: Although not typically used for building full-fledged Android apps, Python can be used for scripting, automation, and data processing tasks in Android development.
5. JavaScript: JavaScript can be used in combination with frameworks like React Native or NativeScript to build cross-platform mobile apps that run on both Android and iOS devices.
Overall, Java and Kotlin are the most essential programming languages for Android app development, with Kotlin gaining popularity as a more modern and efficient alternative to Java.
Free Resources to learn App Development 👇👇
Developing Android Apps with Kotlin
Udemy
Android Basics in Kotlin
Advanced Android with Kotlin
Join @free4unow_backup for more free resources.
ENJOY LEARNING👍👍
1. Java: Java has been the traditional and most widely used programming language for Android app development. It is the official language for Android development and provides a robust set of tools and libraries for building Android apps.
2. Kotlin: Kotlin is a modern, concise, and expressive programming language that has gained popularity among Android developers. It is fully interoperable with Java and offers many features that make Android app development more efficient and less error-prone.
3. C++: While not as commonly used as Java or Kotlin, C++ can be used for developing performance-critical parts of an Android app, such as game engines or graphics-intensive applications.
4. Python: Although not typically used for building full-fledged Android apps, Python can be used for scripting, automation, and data processing tasks in Android development.
5. JavaScript: JavaScript can be used in combination with frameworks like React Native or NativeScript to build cross-platform mobile apps that run on both Android and iOS devices.
Overall, Java and Kotlin are the most essential programming languages for Android app development, with Kotlin gaining popularity as a more modern and efficient alternative to Java.
Free Resources to learn App Development 👇👇
Developing Android Apps with Kotlin
Udemy
Android Basics in Kotlin
Advanced Android with Kotlin
Join @free4unow_backup for more free resources.
ENJOY LEARNING👍👍
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