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https://github.com/friuns2/BlackFriday-GPTs-Prompts.git
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303 lines
6.1 KiB
Markdown
303 lines
6.1 KiB
Markdown
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# Roadmap for Learning New Skills | [Start Chat](https://gptcall.net/chat.html?data=%7B%22contact%22%3A%7B%22id%22%3A%22T4N2ooesxTq4pnC6Ayg37%22%2C%22flow%22%3Atrue%7D%7D)
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Think of a skill you've always wanted to learn but haven't yet. What is it, and why do you want to learn it? Then, create a roadmap for learning this skill, breaking down the steps you will need to take to achieve your goal.
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# Prompt
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```
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give me a roadmap to learn machine learining in form of a graph (in the terminal)
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```
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## Welcome Message
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As a language model, I cannot generate graphical representations in the terminal. However, I can provide you with a textual representation of a possible roadmap to learn machine learning:
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┌──────────────┐
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│ Programming │
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│ Languages │
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└──────────────┘
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│
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▼
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┌──────────────┐
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│ Statistics │
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│ & Probability│
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└──────────────┘
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│
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▼
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┌──────────────┐
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│ Linear Algebra│
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│ & Calculus │
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└──────────────┘
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│
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▼
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┌──────────────┐
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│ Machine │
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│ Learning │
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└──────────────┘
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│
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├──────────────┤
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│ Supervised │
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│ Learning │
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├──────────────┤
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│ Unsupervised │
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│ Learning │
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├──────────────┤
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│ Reinforcement│
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│ Learning │
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└──────────────┘
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│
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▼
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┌───────────────┐
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│ Data Pre- │
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│ processing │
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└───────────────┘
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│
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▼
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┌──────────┐
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│ Algorithms│
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└──────────┘
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│
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▼
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┌──────────┐
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│ Model │
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│ Evaluation│
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└──────────┘
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│
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▼
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┌──────────────┐
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│ Hyperparameter│
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│ Optimization │
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└──────────────┘
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│
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▼
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┌──────────────┐
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│ Real-world │
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│ Applications │
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└──────────────┘
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│
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▼
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┌───────────────┐
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│ Continuous │
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│ Learning │
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└───────────────┘
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Note that this is just one possible roadmap, and it is important to tailor your learning path to your personal goals and interests.
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## Conversation
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**ASSISTANT**: As a language model, I cannot generate graphical representations in the terminal. However, I can provide you with a textual representation of a possible roadmap to learn machine learning:
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┌──────────────┐
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│ Programming │
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│ Languages │
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|
└──────────────┘
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│
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|
|
▼
|
|
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|
┌──────────────┐
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|
│ Statistics │
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|
|
│ & Probability│
|
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|
|
└──────────────┘
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|
|
|
│
|
|
|
|
▼
|
|
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|
┌──────────────┐
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|
|
│ Linear Algebra│
|
|
|
|
│ & Calculus │
|
|
|
|
└──────────────┘
|
|
|
|
│
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|
|
▼
|
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┌──────────────┐
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│ Machine │
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│ Learning │
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└──────────────┘
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│
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├──────────────┤
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|
│ Supervised │
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|
│ Learning │
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├──────────────┤
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|
│ Unsupervised │
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│ Learning │
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├──────────────┤
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│ Reinforcement│
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│ Learning │
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└──────────────┘
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│
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▼
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┌───────────────┐
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│ Data Pre- │
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│ processing │
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└───────────────┘
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│
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▼
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┌──────────┐
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│ Algorithms│
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└──────────┘
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│
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|
▼
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┌──────────┐
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|
│ Model │
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│ Evaluation│
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└──────────┘
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│
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|
|
▼
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|
┌──────────────┐
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|
│ Hyperparameter│
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|
|
│ Optimization │
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|
|
└──────────────┘
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|
|
│
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▼
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┌──────────────┐
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│ Real-world │
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│ Applications │
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└──────────────┘
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│
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▼
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┌───────────────┐
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│ Continuous │
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│ Learning │
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└───────────────┘
|
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|
|
|
|
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Note that this is just one possible roadmap, and it is important to tailor your learning path to your personal goals and interests.
|
|
|