Prompt:
Based on the credentials, technical expertise, and experience highlighted in the attached resume, provide a comprehensive analysis of the types of questions I am likely to encounter during the technical round of a machine learning interview. The analysis should include:
High-Probability Topics: Identify the key areas of machine learning, deep learning, natural language processing, cloud platforms, and other relevant domains that I should focus on based on my past roles and projects.
Specific Question Types: Suggest potential technical questions, including theoretical, practical, coding, and scenario-based questions that align with the responsibilities and technologies mentioned in the resume.
Preparation Guidance: Offer a targeted preparation strategy for each of the identified areas, including recommended concepts, algorithms, frameworks, and tools I should review to demonstrate expertise during the interview.
Ensure the suggestions are tailored to my specific experience and career progression as detailed in the resume, and include both foundational and advanced-level topics to cover a broad spectrum of possible interview scenarios.
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*Basics of ChatGPT*
*Introduction to Generative AI*
How Generative AI Works
Types of Generative AI
How LLMs Work
Examples and Types of LLMs
Limitations and Future of LLMs
How to Access ChatGPT
Interface Overview
*Uses and Applications of ChatGPT*
Limitations of ChatGPT
*Using ChatGPT for Coding*
Coding Prompts
Suggestion Prompts
Summarization Prompts
Keyword-based Text Generation
*Introduction to ChatGPT-4*
Dashboard Overview
Prompts for ChatGPT-4
Comparison: ChatGPT-4o vs. 4 vs. 3.5
How to Use ChatGPT-4o for Free
*Introduction to Prompt Engineering*
Main Elements and Components of a Good Prompt
Writing Effective Prompts
Common Prompt Patterns and Errors
Applications of Prompt Engineering
*Hands-on Examples in Prompt Engineering*
Text Summarization
Code Generation
Zero-shot, Few-shot, and Chain of Thought Process
*Comparison: ChatGPT vs. GitHub Copilot*
Using ChatGPT with and without Programming Expertise
Building Programs with ChatGPT
Code Interpreter Overview and Demo
*Debugging and Testing with ChatGPT*
Exception Handling
Extra Uses and Limitations
*Building Applications with ChatGPT-4o*
Python Apps
Websites
*Text Summarization with ChatGPT*
Basic Steps
Using ChatGPT for Text Summarization
*Introduction to Data Analysis with ChatGPT*
Python Outline
Car-MPG Dataset Analysis
Distribution, Missing Values, Regression Modeling, and Summary Statistics
Univariate Analysis and Correlation Matrix
Excel Overview
Converting Data Types, Univariate Analysis, and Generating Functions
*Excel Functions, Pivot Tables, and Charts*
*Creating Presentations with ChatGPT*
Key Elements and Content Creation
Using VBA Code in PowerPoint
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