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  • Implementing Databases From Scratch Using Llms

Results for "implementing databases from scratch using llms"


  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Classification Algorithms, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    P

    Peking University

    计算机辅助翻译原理与实践 Principles and Practice of Computer-Aided Translation

    Skills you'll gain: Quality Assurance, Language Interpretation, Translation, and Studies, Natural Language Processing, Document Management, Information Technology, Technical Services, Technical Management, Vocabulary, Data Import/Export, Database Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    83 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Working with Data in iOS

    Skills you'll gain: Core Data (Software), Restful API, Apple iOS, JSON, Swift Programming, Application Programming Interface (API), Mobile Development, Application Development, Data Persistence, Data Modeling, Authentications, Network Protocols

    4
    Rating, 4 out of 5 stars
    ·
    50 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Teaching Writing Process

    Skills you'll gain: Writing, Course Development, Peer Review, Editing, Creativity

    4.6
    Rating, 4.6 out of 5 stars
    ·
    43 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Optimize TensorFlow Models For Deployment with TensorRT

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Performance Tuning, Convolutional Neural Networks, Model Deployment, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    76 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Classification Algorithms, Machine Learning, Supervised Learning, Data Processing, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Abstraction, Problem Decomposition, and Functions

    Skills you'll gain: Computational Thinking, C (Programming Language), Data Structures, Programming Principles, Computer Programming, Program Development, Debugging

    4.6
    Rating, 4.6 out of 5 stars
    ·
    37 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Preprocessing, Data Transformation, MLOps (Machine Learning Operations), Anomaly Detection, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Model Evaluation, Natural Language Processing, Data Science, Quality Assurance, Data Pipelines, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    76 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Java Servlets Tutorial

    Skills you'll gain: Model View Controller, Java Platform Enterprise Edition (J2EE), Back-End Web Development, Server Side, Data Access, Apache Tomcat, Application Servers, Relational Databases, Databases, Java, Web Servers, SQL, Authentications, Web Applications, Secure Coding, Software Design Patterns, Data Persistence, Context Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Getting Started with ProfitBooks

    Skills you'll gain: Invoicing, Billing & Invoicing, Inventory Management System, Tax Management, Accounting Software, Customer Relationship Management (CRM) Software, Small Business Accounting, Bookkeeping, Accounting, Payroll Systems, Cloud Security

    4.5
    Rating, 4.5 out of 5 stars
    ·
    79 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Data Preparation and Analysis

    Skills you'll gain: Model Evaluation, Statistical Analysis, Data Visualization, Data Analysis, Exploratory Data Analysis, Data Cleansing, Analytics, Machine Learning, Data Preprocessing, Regression Analysis, Data Mining, Python Programming, Scikit Learn (Machine Learning Library), Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Logistic Regression

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular implementing databases from scratch using llms courses

  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • 计算机辅助翻译原理与实践 Principles and Practice of Computer-Aided Translation: Peking University
  • Working with Data in iOS: Meta
  • Teaching Writing Process: Johns Hopkins University
  • Optimize TensorFlow Models For Deployment with TensorRT: Coursera
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • Abstraction, Problem Decomposition, and Functions: University of Colorado System
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • Java Servlets Tutorial: EDUCBA
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM

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