Artificial Intelligence | AI Tools | Coding Books
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๐Ÿ”“Unlock Your Coding Potential with ChatGPT
๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews!
๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job.


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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.
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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 ๐Ÿ‘๐Ÿ‘
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Python Methods
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Essential programming language for Android app development ๐Ÿ‘‡๐Ÿ‘‡

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 ๐Ÿ‘‡๐Ÿ‘‡

Developing Android Apps with Kotlin

Udemy

Android Basics in Kotlin

Advanced Android with Kotlin

Join @free4unow_backup for more free resources.

ENJOY LEARNING๐Ÿ‘๐Ÿ‘
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Insertion Sort using Python ๐Ÿ‘†
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๐Ÿ”— Quickly Deploy Machine Learning Model
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TYPES OF INTELLIGENCE

4 types of Intelligence:

1) Intelligence Quotient (IQ)
2) Emotional Quotient (EQ)
3) Social Quotient (SQ)
4) Adversity Quotient (AQ)

1. Intelligence Quotient (IQ): this is the measure of your level of comprehension. You need IQ to solve maths, memorize things, and recall lessons.

2. Emotional Quotient (EQ): this is the measure of your ability to maintain peace with others, keep to time, be responsible, be honest, respect boundaries, be humble, genuine and considerate.
3. Social Quotient (SQ): this is the measure of your ability to build a network of friends and maintain it over a long period of time.

People that have higher EQ and SQ tend to go further in life than those with a high IQ but low EQ and SQ. Most schools capitalize on improving IQ levels while EQ and SQ are played down.

Develop their IQ, as well as their EQ, SQ and AQ. They should become multifaceted human beings able to do things independently of their parents.
4. The Adversity Quotient (AQ): The measure of your ability to go through a rough patch in life, and come out of it without losing your mind.

When faced with troubles, AQ determines who will give up, who will abandon their family, and who will consider suicide.

Parents please expose your children to other areas of life than just Academics. They should adore manual labour (never use work as a form of punishment), Sports and Arts.
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AI is the next biggest skill to learn.

AI experts are earing up to $200000+ per year.

Here are 4 FREE courses from Google and Microsoft that most people don't know:

https://microsoft.github.io/AI-For-Beginners/?

https://www.cloudskillsboost.google/paths/118

https://www.deeplearning.ai/courses/ai-for-everyone/

https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

More free resources: https://t.iss.one/udacityfreecourse
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Devops Tools
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Top 40 commonly asked DSA questions :

๐—”๐—ฟ๐—ฟ๐—ฎ๐˜†๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—ฆ๐˜๐—ฟ๐—ถ๐—ป๐—ด๐˜€:
1. Find the missing number in an array of integers.
2. Implement an algorithm to rotate an array.
3. Check if a string is a palindrome.
4. Find the first non-repeating character in a string.
5. Implement an algorithm to reverse a linked list.
6. Merge two sorted arrays.
7. Implement a stack using arrays/linked list.
8. Write a program to remove duplicates from a sorted array.

๐—Ÿ๐—ถ๐—ป๐—ธ๐—ฒ๐—ฑ ๐—Ÿ๐—ถ๐˜€๐˜๐˜€:
1. Detect a cycle in a linked list.
2. Find the intersection point of two linked lists.
3. Reverse a linked list in groups of k.
4. Implement a function to add two numbers represented by linked lists.
5. Clone a linked list with next and random pointer.

๐—ง๐—ฟ๐—ฒ๐—ฒ๐˜€ ๐—ฎ๐—ป๐—ฑ ๐—•๐—ถ๐—ป๐—ฎ๐—ฟ๐˜† ๐—ฆ๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐—ง๐—ฟ๐—ฒ๐—ฒ๐˜€ (๐—•๐—ฆ๐—ง):
1. Find the height of a binary tree.
2. Check if a binary tree is balanced.
3. Find the lowest common ancestor in a binary tree.
4. Serialize and deserialize a binary tree.
5. Implement an algorithm for in-order traversal without recursion.
6. Convert a BST to a sorted doubly linked list.

You can check these amazing resources for DSA Preparation

All the best ๐Ÿ‘๐Ÿ‘
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How does HTTP works?
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Anyone else remember when the search bar and the address bar were two different things??
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