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  • Distributed Algorithm

Results for "distributed algorithm"


  • Status: New
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    C

    Coursera

    Learn to Choose the Right ML Model

    Skills you'll gain: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Sequence Models

    Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Artificial Neural Networks, Embeddings, Deep Learning, Transfer Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    31K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Decision Tree Learning, Data Preprocessing, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning, Feature Engineering, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Capstone: Retrieving, Processing, and Visualizing Data with Python

    Skills you'll gain: Data Processing, Data Visualization, Interactive Data Visualization, Data Cleansing, Data Collection, Data Visualization Software, Python Programming, Exploratory Data Analysis, Algorithms, Data Analysis, Web Scraping, Email Automation

    4.7
    Rating, 4.7 out of 5 stars
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    14K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Introduction to Big Data

    Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    11K reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
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    Coursera

    OpenTelemetry for Unified Observability

    Skills you'll gain: .NET Framework, Prometheus (Software), Cloud-Native Computing, Site Reliability Engineering, Kubernetes, Data Import/Export, Application Programming Interface (API), Data Analysis Software

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Image Analysis, Convolutional Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence, Data Preprocessing, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    20K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    M

    Microsoft

    Data Processing, Exploratory Analysis and Visualization

    Skills you'll gain: PySpark, Apache Spark, Power BI, Data Visualization Software, Big Data, Distributed Computing, Databricks, Dashboard, SQL, Data Processing, Data Transformation, Performance Tuning, Performance Analysis

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Introduction to Google SEO

    Skills you'll gain: Search Engine Optimization, Persona Development, Web Analytics and SEO, Keyword Research, Target Audience, Branding, Target Market, Digital Marketing, Social Media Strategy, Content Strategy, Brand Awareness, Consumer Behaviour, User Research, Algorithms, Data Analysis, Business Reporting

    4.6
    Rating, 4.6 out of 5 stars
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    10K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Improve Accuracy with ML Ensemble Methods

    Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    D

    DeepLearning.AI

    Generative AI with Large Language Models

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, LLM Application, Prompt Engineering, Model Deployment, Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Model Evaluation, Reinforcement Learning

    4.8
    Rating, 4.8 out of 5 stars
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    3.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Performance Engineering for Data Systems

    Skills you'll gain: Database Design, Apache Spark, SQL, Performance Tuning, Disaster Recovery, Database Management, PySpark, Query Languages, Infrastructure as Code (IaC), Data Architecture, Cloud Computing Architecture, Distributed Computing, Data Pipelines, Performance Analysis, Data Warehousing, Data Transformation, Scalability, Root Cause Analysis, Cost Management, Resource Management

    Intermediate · Specialization · 3 - 6 Months

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

  • Learn to Choose the Right ML Model: Coursera
  • Sequence Models: DeepLearning.AI
  • Build Robust Java ML Models with Entropy: Coursera
  • Capstone: Retrieving, Processing, and Visualizing Data with Python: University of Michigan
  • Introduction to Big Data: University of California San Diego
  • OpenTelemetry for Unified Observability: Coursera
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
  • Data Processing, Exploratory Analysis and Visualization: Microsoft
  • Introduction to Google SEO: University of California, Davis
  • Improve Accuracy with ML Ensemble Methods: Coursera

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