Angel Hill

Rate S$39
Response 1h
Students
Number of students accompanied by Angel Hill since their arrival at Superprof
2
Number of students accompanied by Angel Hill since their arrival at Superprof

S$39/h

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Artificial Intelligence

Introduction to AI, Predictive and Generative Artificial Intelligence, LLMs (Large Language Models), and Their Practical Applications

Artificial Intelligence

Lesson location

- online

About Angel Hill

I am a freshly graduated undergrad student with considerable experience inside and outside the classroom with data science and building AI and machine learning models. I am early on in my full time career (in the data science space) and do tutoring on the side to make extra income.

About the lesson

- Lessons taught by experienced data scientist with excellent communication and technical skills.
- Lessons are very in depth, but also easy to understand. You'll be an AI expert by the end of the course!
- Lesson plan is tailored to how and what you want to learn.
- Can include more conceptual material, or more programming and technical material.
- Lessons on building your own AI models in Python and R also available. I can make them as in depth as needed.
- Example course plan below:

1. Concepts of AI and machine learning
- breakdown of how AI models function on a technical level
- no programming yet
2. Use Cases of AI
- explanation of basic applied AI models
- staying up to date with AI news
3. In Depth Applied AI
- technical breakdown of advanced machine learning algorithms
- intro to LLMs
4. Breakdown of LLMs and Use Cases
- further breakdown of LLMs (ChatGPT) and how they process data
- pretrained vs fine tuned LLMs
5. Data Preparation for AI and Machine Learning
- technical walkthrough of how data is sourced and prepared to train AI algorithms (this is the MOST important part of AI & ML)
6. AI and Statistics
- walkthrough of AI statistical learning
7. Intro to Programming for AI
- intro to Python (and other tools / languages) for building AI models
- no programming (yet)
8. Intro to Python I
- IDE setup
- variables, functions, print statements
9. Intro to Python II
- Python fundamentals (user defined functions, data types, etc)
10. Intro to Python III
- if statement and loops
11. Intro to Data Types
12. Debugging
13. Advanced Data Types
14. Algorithm Design
- data processing and data flow for Python algorithms
15. Python packages and extensions
- using libraries and packages
16. Using AI to build AI tools
- using ChatGPT, Bard, and Copilot for Python and machine learning
- ChatGPT for debugging
- AI ethics (more important than you think)
17-20. Data Analysis with Python (if needed)
- analyze and process data using pandas, numpy, etc (Python packages) to be used to train AI model

Introduction to AI, Predictive and Generative Artificial Intelligence, LLMs (Large Language Models), and Their Practical Applications

Lesson location

About Angel Hill

About the lesson

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online

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Introduction to AI, Predictive and Generative Artificial Intelligence, LLMs (Large Language Models), and Their Practical Applications

Lesson location

About Angel Hill

About the lesson

Rates

Rate

Pack rates

online

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