What you'll learn
How ChatGPT could be leveraged to master machine learning
What are the best practices in prompt engineering
How ChatGPT could improve the productivity
What are the limitations of ChatGPT
How ChatGPT could be used to de-bug computer programs
Requirements
Basic knowledge of Python and Machine Learning
Description
Welcome to "ChatGPT for Machine Learning," an extensive course crafted meticulously to enhance your prowess in utilizing one of the most advanced language models for machine learning applications. This course unfolds a step-by-step guide on how to adeptly write code, debug and navigate the terrain of creating intricate machine learning models using ChatGPT.Our in-depth sessions cover a blend of prompt engineering and hands-on practical demonstrations, enabling you to fathom the diverse potentials of ChatGPT and understand how to fine-tune it for your specific machine learning tasks. Additionally, we delve into the commonly encountered debugging issues, equipping you with techniques to address and rectify them, thereby enhancing your model-building proficiency.This course is an essential toolkit for both novices and professionals seeking to augment their artificial intelligence and machine learning skills, by mastering the use of the groundbreaking ChatGPT. As you gain a profound understanding of how to write effective code, debug, and construct machine learning models with ChatGPT, you position yourself at the vanguard of the burgeoning AI revolution.Furthermore, this course also places emphasis on data privacy challenges, ensuring that your AI models are not only powerful, but also responsible. Join us on this exciting journey as we delve into the captivating world of AI-driven language understanding and generation, unravelling the myriad applications of ChatGPT in the modern AI landscape.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Getting Started with ChatGPT
Lecture 2 Introduction to OpenAI
Lecture 3 OpenAI Account Setup
Section 3: Technology Behind ChatGPT
Lecture 4 Understanding Large Language Models (LLMs) and Generative AI
Lecture 5 Understanding Transformers and Neural Networks
Section 4: Create a computer program and de-bug it
Lecture 6 Create a computer program and de-bug it
Section 5: Build a ML Model with ChatGPT
Lecture 7 Build a ML Model Using ChatGPT
Lecture 8 Build a Wordcloud using Streamlit with help from ChatGPT
Lecture 9 Access data from an online source and build a model
Section 6: Build a ML Model with Google Bard
Lecture 10 Build a ML Model with Google Bard
Lecture 11 Useful Features in Google Bard
Section 7: Prompt Engineering
Lecture 12 What is prompt engineering
Lecture 13 Prompt engineering in action
Section 8: Addressing Data Privacy Issues
Lecture 14 Addressing Data Privacy Issues
Students,Python programmers,Machine Learning enthusiasts,Data scientists


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