Yahoo Poland Wyszukiwanie w Internecie

Zaloguj się

Search results

  1. github.com › practical-tutorials › project-based-learningpractical-tutorials/project-based-learning - GitHub

    Project Based Learning A list of programming tutorials in which aspiring software developers learn how to build an application from scratch. These tutorials are divided into different primary programming languages.

    • Issues 26

      You signed in with another tab or window. Reload to refresh...

    • Projects

      Projects - practical-tutorials/project-based-learning -...

    • Insights

      Insights - practical-tutorials/project-based-learning -...

    • 116k Stars

      116k Stars - practical-tutorials/project-based-learning -...

    • 16.1k Forks

      16.1k Forks - practical-tutorials/project-based-learning -...

    • Permalink

      Permalink - practical-tutorials/project-based-learning -...

    • Contributors 104

      Contributors 104 -...

  2. www.codewithfaraz.com › article › 13150 Java Projects with Source Code for All Skill Levels - Code...

    20 lip 2024 · Engaging in practical projects is one of the most effective ways to master Java programming. Here, we'll explore 50 Java projects with source code across different levels of complexity, suitable for beginners, intermediates, and advanced learners. 1. Calculator. 2. Guess the Number Game. 3. Currency Converter. 4. Digital Clock. 5. ToDo App. 6.

  3. fullstackdeeplearning.com › spring2021 › lecture-11Lecture 11: Deployment & Monitoring - The Full Stack

    You can use off-the-shelf JavaScript models or convert Python TensorFlow models to run in the browser or under Node.js, retrain pre-existing ML models using your data, and build/train models directly in JavaScript using flexible and intuitive APIs.

  4. www.geeksforgeeks.org › machine-learning-deploymentMachine learning deployment - GeeksforGeeks

    24 cze 2024 · Deploying machine learning (ML) models into production environments is crucial for making their predictive capabilities accessible to users or other systems. This guide provides an in-depth look at the essential steps, strategies, and best practices for ML model deployment.

  5. machinelearningmodels.org › java-machine-learning-projects-a-comprehensive-guideJava Machine Learning Projects: A Comprehensive Guide

    Java is a powerful and versatile language for developing machine learning projects. With libraries like Weka, Deeplearning4j, and Apache Spark MLlib, you can build and deploy robust ML models for various applications.

  6. stackoverflow.blog › 2020/10/12 › how-to-put-machine-learning-models-into-productionHow to put machine learning models into production

    12 paź 2020 · For that, you need frameworks and tooling, software and hardware that help you effectively deploy ML models. These can be frameworks like Tensorflow, Pytorch, and Scikit-Learn for training models, programming languages like Python, Java, and Go, and even cloud environments like AWS, GCP, and Azure.

  7. medium.com › @AlexanderObregon › java-and-machine-learning-libraries-and-projectJava in ML: Key Libraries & Ideas | Medium

    10 gru 2023 · Java, a versatile and widely-used programming language, has become increasingly relevant in the field of machine learning. This post explores various Java libraries tailored for machine learning...