The ai-ml-code-interviewer is designed to help you prepare for interviews focused on machine learning and deep learning topics. This app offers a variety of questions and resources aimed at building your understanding and skills in these fields. Whether you're a beginner or looking to refresh your knowledge, this tool can guide you through key concepts and interview techniques.
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System Requirements
- Operating System: Windows 10 or later / macOS 10.14 or later
- Memory: 4 GB RAM or more
- Disk Space: At least 100 MB free space
- Processor: Dual-core or higher
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Download & Install
- To get started, you need to download the application from the releases page. Click the link below: Visit this page to download
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Installation Steps
- After downloading the application, locate the downloaded file.
- For Windows, double-click the
.exe
file to start the installation. - For macOS, drag the application icon to your Applications folder.
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Running the Application
- Open the application from your Applications folder (macOS) or from the Start Menu (Windows).
- Follow the on-screen instructions to navigate through the app.
- Question Sets: The app provides a wide array of common interview questions related to machine learning and deep learning.
- Answer Review: You can review suggested answers and explanations to understand key concepts better.
- Practice Mode: Engage in a practice mode where you can simulate a real interview experience.
- Resource Library: Access curated resources and articles for deeper understanding and preparation.
If you encounter any issues during installation or while running the application, consider the following steps:
- Check System Requirements: Ensure your computer meets the necessary specifications.
- Antivirus Settings: Sometimes antivirus programs may prevent applications from running. Make sure to allow the application through your antivirus.
- Run as Administrator (Windows only): If the app does not start, try right-clicking the application and selecting "Run as Administrator."
For any further assistance, please check our FAQ section on the releases page or reach out via the GitHub Issues section of this repository. Your feedback is important to us to improve future versions.
Feel free to explore and prepare yourself effectively for your next interview in machine learning and deep learning.