Introduction to Computer Science and Programming in Python
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Resources π» : Slides & Notes
βοΈLabs
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Created by π¨βπ«: MIT
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Slides and code π¨βπ»
π COURSE LINK
π£No registration or download required
π Free Online Course
πββοΈ Self paced
Resources π» : Slides & Notes
βοΈLabs
π§ Problem Sets / Codes
Created by π¨βπ«: MIT
Video lessons π₯
Slides and code π¨βπ»
π COURSE LINK
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π» Whatβs Available:
> πComprehensive eBooks on AI fundamentals
> π In-depth guides on machine learning techniques
> π¨βπ» Useful tutorials and videos
π₯πDownload for Free AI Materials:https://bit.ly/43ux8rh
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To truly master Artificial Intelligence, focus on these key areas:
0. Understanding AI Fundamentals: Learn the basic concepts of AI, including search algorithms, knowledge representation, and decision trees.
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3. Working with Natural Language Processing (NLP): Understand how machines process human language for tasks like sentiment analysis, translation, and chatbots.
4. Learning Reinforcement Learning: Study how agents learn by interacting with environments to maximize rewards (e.g., in gaming or robotics).
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Like if you need similar content ππ
Hope this helps you π
#ai #datascience
Itβs the cutting-edge field that enables machines to think, learn, and act like humans.
To truly master Artificial Intelligence, focus on these key areas:
0. Understanding AI Fundamentals: Learn the basic concepts of AI, including search algorithms, knowledge representation, and decision trees.
1. Mastering Machine Learning: Since ML is a core part of AI, dive into supervised, unsupervised, and reinforcement learning techniques.
2. Exploring Deep Learning: Learn neural networks, CNNs, RNNs, and GANs to handle tasks like image recognition, NLP, and generative models.
3. Working with Natural Language Processing (NLP): Understand how machines process human language for tasks like sentiment analysis, translation, and chatbots.
4. Learning Reinforcement Learning: Study how agents learn by interacting with environments to maximize rewards (e.g., in gaming or robotics).
5. Building AI Models: Use popular frameworks like TensorFlow, PyTorch, and Keras to build, train, and evaluate your AI models.
6. Ethics and Bias in AI: Understand the ethical considerations and challenges of implementing AI responsibly, including fairness, transparency, and bias.
7. Computer Vision: Master image processing techniques, object detection, and recognition algorithms for AI-powered visual applications.
8. AI for Robotics: Learn how AI helps robots navigate, sense, and interact with the physical world.
9. Staying Updated with AI Research: AI is an ever-evolving fieldβstay on top of cutting-edge advancements, papers, and new algorithms.
Artificial Intelligence is a multidisciplinary field that blends computer science, mathematics, and creativity.
π‘ Embrace the journey of learning and building systems that can reason, understand, and adapt.
β³ With dedication, hands-on practice, and continuous learning, youβll contribute to shaping the future of intelligent systems!
Data Science & Machine Learning Resources: https://topmate.io/coding/914624
Credits: https://t.me/datasciencefun
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Hope this helps you π
#ai #datascience
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Natural Language Processing Projects.pdf
13.2 MB
Natural Language Processing Projects
Akshay Kulkarni, 2022
Akshay Kulkarni, 2022
Python Machine Learning Projects.pdf
871.9 KB
Python Machine Learning Projects
DigitalOcean, 2022
DigitalOcean, 2022
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5.6 MB
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A brief introduction to object oriented programming OOP in JavaScript programming language in a practical way with simple examples
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--- Git Commands ---
ποΈ git init | Initialize a new Git repository
π git clone <repo> | Clone a repository
π git status | Check the status of your repository
β git add <file> | Add a file to the staging area
π git commit -m "message" | Commit changes with a message
π git push | Push changes to a remote repository
β¬οΈ git pull | Fetch and merge changes from a remote repository
--- Branching ---
πΏ git branch | List branches
π± git branch <name> | Create a new branch
π git checkout <branch> | Switch to a branch
π§ git merge <branch> | Merge a branch into the current branch
π git rebase <branch> | Reapply commits on top of another base branch
--- Undo & Fix Mistakes ---
π git reset --soft HEAD~1 | Undo last commit but keep changes
π« git reset --hard HEAD-1 | Undo last commit and discard changes
βͺ git revert <commit> | Create a new commit that undoes changes from a specific commit
--- Logs & History ---
π git log | Show commit history
π git log --oneline --graph --all | Pretty graph of commit history
--- Stashing ---
π git stash | Save changes without committing
π git stash pop | Apply stashed changes and remove them from stash
--- Remote & Collaboration ---
π git remote -v | View remote repositories
π‘ git fetch | Fetch changes without merging
π΅οΈ git diff | Compare changes
ποΈ git init | Initialize a new Git repository
π git clone <repo> | Clone a repository
π git status | Check the status of your repository
β git add <file> | Add a file to the staging area
π git commit -m "message" | Commit changes with a message
π git push | Push changes to a remote repository
β¬οΈ git pull | Fetch and merge changes from a remote repository
--- Branching ---
πΏ git branch | List branches
π± git branch <name> | Create a new branch
π git checkout <branch> | Switch to a branch
π§ git merge <branch> | Merge a branch into the current branch
π git rebase <branch> | Reapply commits on top of another base branch
--- Undo & Fix Mistakes ---
π git reset --soft HEAD~1 | Undo last commit but keep changes
π« git reset --hard HEAD-1 | Undo last commit and discard changes
βͺ git revert <commit> | Create a new commit that undoes changes from a specific commit
--- Logs & History ---
π git log | Show commit history
π git log --oneline --graph --all | Pretty graph of commit history
--- Stashing ---
π git stash | Save changes without committing
π git stash pop | Apply stashed changes and remove them from stash
--- Remote & Collaboration ---
π git remote -v | View remote repositories
π‘ git fetch | Fetch changes without merging
π΅οΈ git diff | Compare changes
π4
π 5 Steps to learn Full Stack Web Development:
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- Start with the essentials: Learn HTML π, CSS π¨, and JavaScript π§ͺ as the building blocks.
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- Dive into front-end magic with a JavaScript framework like React βοΈ, Angular π °οΈ, or Vue.js π. Craft beautiful user interfaces.
3. π Back-End Development:
- Venture into the server-side realm by picking a language (e.g., Node.js π, Python π, Ruby π) and its associated framework.
4. ποΈ Databases and Data Management:
- Explore the world of databases (MySQL π¬, PostgreSQL π, MongoDB π) to store and retrieve data efficiently.
5. π Full-Stack Integration:
- Unite your powers! Combine front-end and back-end skills to create full-fledged web applications π.
1. π Begin with Basics:
- Start with the essentials: Learn HTML π, CSS π¨, and JavaScript π§ͺ as the building blocks.
2. πΌοΈ Front-End Development:
- Dive into front-end magic with a JavaScript framework like React βοΈ, Angular π °οΈ, or Vue.js π. Craft beautiful user interfaces.
3. π Back-End Development:
- Venture into the server-side realm by picking a language (e.g., Node.js π, Python π, Ruby π) and its associated framework.
4. ποΈ Databases and Data Management:
- Explore the world of databases (MySQL π¬, PostgreSQL π, MongoDB π) to store and retrieve data efficiently.
5. π Full-Stack Integration:
- Unite your powers! Combine front-end and back-end skills to create full-fledged web applications π.
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