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  • Distributed Algorithm

Results for "distributed algorithm"


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Supervised Text Classification for Marketing Analytics

    Skills you'll gain: Supervised Learning, Deep Learning, Scikit Learn (Machine Learning Library), Machine Learning, Tensorflow, Text Mining, Predictive Modeling, Classification And Regression Tree (CART), Data Manipulation, Marketing Analytics, Python Programming, Feature Engineering, Google Cloud Platform, Data Processing, Artificial Neural Networks, Performance Metric

    Build toward a degree

    3.1
    Rating, 3.1 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Classify Radio Signals with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Machine Learning Methods, Digital Communications, Deep Learning, Artificial Neural Networks, Computer Vision, Telecommunications

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    T

    Tencent Cloud

    Tencent Cloud Solutions Architect Professional

    Skills you'll gain: Cloud Computing Architecture, Hybrid Cloud Computing, Cloud-Native Computing, Cloud Applications, Cloud Computing, Cloud Platforms, Serverless Computing, Solution Architecture, Private Cloud, Cloud Infrastructure, Data Migration, Software Architecture, Cloud Security, Systems Architecture, Microservices, Distributed Denial-Of-Service (DDoS) Attacks, Scalability, DevOps, Disaster Recovery

    4.4
    Rating, 4.4 out of 5 stars
    ·
    14 reviews

    Advanced · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Python Fundamentals and Data Science Essentials

    Skills you'll gain: Matplotlib, Linear Algebra, NumPy, Scientific Visualization, Machine Learning Algorithms, Pandas (Python Package), Seaborn, Data Science, Machine Learning, Data Analysis, Supervised Learning, Python Programming, Scikit Learn (Machine Learning Library), Jupyter, Data Manipulation, Regression Analysis, Data Structures, Software Installation

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    LLM Engineering with RAG: Optimizing AI Solutions

    Skills you'll gain: Prompt Engineering, LLM Application, LangChain, Large Language Modeling, OpenAI, Scalability, Generative AI, Application Deployment, Data Integration, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Data Science, Machine Learning, API Design

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Create a Project Tracker with Airtable

    Skills you'll gain: Relational Databases, Databases, Spreadsheet Software, Collaborative Software, Project Management Software, Cloud Services, Collaboration, Cloud Computing, Data Import/Export

    4.1
    Rating, 4.1 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • D

    Duke University

    Rust Axum Greedy Coin Microservice

    Skills you'll gain: Containerization, Application Deployment, Microservices, Rust (Programming Language), Unit Testing, Cloud Applications, Cloud Platforms, Development Environment, Application Frameworks, Restful API, Algorithms

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Data Engineering: Pipelines, ETL, Hadoop

    Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Data Strategy, Big Data, Data Warehousing, Strategic Decision-Making, Apache Spark, Data Integration, Data Processing, Data Migration, Business Analytics, Data Management, Data Quality, Data Analysis, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Data Frameworks for Generative AI

    Skills you'll gain: Data Ethics, Generative AI, LLM Application, Artificial Intelligence, Data Structures, Data Science, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Science and Technology of China

    高效协作

    Skills you'll gain: Productivity, Workflow Management, Collaboration, Process Mapping, Operational Efficiency, Knowledge Transfer, Process Optimization, Team Oriented, Learning Strategies, Document Management, Smart Goals, Information Management, Cloud Storage

    4
    Rating, 4 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular distributed algorithm courses

  • Supervised Text Classification for Marketing Analytics: University of Colorado Boulder
  • Classify Radio Signals with PyTorch: Coursera
  • Tencent Cloud Solutions Architect Professional: Tencent Cloud
  • Python Fundamentals and Data Science Essentials: Packt
  • LLM Engineering with RAG: Optimizing AI Solutions: Coursera
  • Create a Project Tracker with Airtable: Coursera
  • Rust Axum Greedy Coin Microservice: Duke University
  • Data Engineering: Pipelines, ETL, Hadoop: Coursera
  • AI & Deep Learning Concepts and Applications: Simplilearn
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera

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