Best of Machine LearningJanuary 2024

  1. 1
    Article
    Avatar of medium_jsMedium·2y

    How to become an AI engineer (2024)

    AI engineering is a rapidly evolving field that involves developing and implementing AI systems. It requires programming skills, mathematical acumen, big data handling, algorithmic understanding, non-technical business skills, and analytical skills. To start a career in AI engineering, one needs to acquire these skills, pursue relevant education and certifications, network with other AI engineers, and apply for AI engineer jobs.

  2. 2
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    How to Code with AI

    Learn how to code using AI with a course that covers front-end development using HTML, CSS, and JavaScript. The course is divided into three sections: launching first projects, advanced AI projects, and database-powered applications.

  3. 3
    Article
    Avatar of javacodegeeksJava Code Geeks·2y

    Explore These 20 Cool Python Scripts for Fun and Productivity!

    Explore 20 cool Python scripts that are both fun and practical. From web scraping with BeautifulSoup and Requests to machine learning model deployment with Flask, Python can make tasks easier and more enjoyable.

  4. 4
    Article
    Avatar of medium_jsMedium·2y

    How To Clone Yourself With A Custom GPT (And Zero Coding!)

    Learn how to clone yourself using a custom GPT with zero coding. This allows you to preserve your knowledge, provide scalable mentoring and communication, and engage in self-reflection and growth. Make sure to consider privacy and security when choosing a platform.

  5. 5
    Article
    Avatar of freecodecampfreeCodeCamp·2y

    Ace Your Deep Learning Job Interview

    Prepare for deep learning job interviews with a comprehensive video course that covers 50 common interview questions and provides detailed explanations. Explore fundamental concepts, key differences between deep learning and traditional machine learning, and advanced topics in deep learning.

  6. 6
    Article
    Avatar of medium_jsMedium·2y

    LLaVA: An open-source alternative to GPT-4V(ision)

    LLaVA is an open-source alternative to GPT-4V(ision) that allows users to discuss and describe images. It has features that improve upon other open-source solutions and is faster and cheaper to train. LLaVA can be used online or installed locally on a computer or laptop. The post provides an overview of LLaVA and explains its technical characteristics. It also includes instructions on how to program with LLaVA using a chatbot application built with HuggingFace libraries on Google Colab.

  7. 7
    Article
    Avatar of kdnuggetsKDnuggets·2y

    5 FREE Courses on AI with Microsoft for 2024

    Kickstart your AI journey in 2024 with 5 FREE courses offered by Microsoft. Learn about AI for beginners, Azure OpenAI Service, custom machine learning models, building apps with Azure AI, and using AI in everyday work.

  8. 8
    Article
    Avatar of uxplanetUX Planet·2y

    Rosebud AI: Introducing the AI-Driven Game Creation Suite

    Rosebud AI is a game creation suite that simplifies game development by using AI-driven tools for game assets, developer platform, and avatar animation. It offers zero coding barriers, AI-powered animation tools, character customization, and tools for creating interactive visual novels. Rosebud AI is expanding into 3D game development capabilities.

  9. 9
    Article
    Avatar of mlnewsMachine Learning News·2y

    Meet Rust Burn: A New Deep Learning Framework Designed in Rust for Optimal Flexibility, Performance, and Ease of Use

    Rust Burn is a new deep learning framework developed in Rust, emphasizing flexibility, performance, and ease of use. It leverages hardware-specific features like Tensor Cores for fast execution and efficiently handles low-level GPU operations. The framework offers a versatile tool for deep learning, addressing pain points in existing frameworks. Rust Burn has the potential to become a robust and production-ready option in the deep learning landscape.

  10. 10
    Article
    Avatar of taiTowards AI·2y

    The Unsung Hero of Machine Learning — Linear Algebra

    Linear algebra is an essential component of machine learning, data mining, deep learning, and optimization algorithms. Gaussian elimination is used in various applications, such as solving optimization problems and finding best-fit parameters. The concepts of linear dependence and independence are also important in understanding linear equations and systems. Overall, understanding linear algebra is crucial for making informed decisions based on quantitative data.