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  • Distributed Algorithm

Results for "distributed algorithm"


  • Status: Free Trial
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    P

    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Model Evaluation, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Data Science, Probability & Statistics, Statistical Methods, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Machine Learning Algorithms, Probability Distribution, Estimation, Machine Learning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with Python: Case Studies

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Model Training, Risk Modeling, Predictive Modeling, Statistical Methods, Predictive Analytics, Credit Risk, Supervised Learning, Statistical Modeling, Unsupervised Learning, Machine Learning Methods, Machine Learning, Python Programming, Logistic Regression

    Mixed · Course · 1 - 4 Weeks

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

    Coursera

    Communication Channels for Project Success

    Skills you'll gain: Communication Planning, Strategic Communication, Internal Communications, Communication Strategies, Communication, User Feedback, Business Communication, Digital Communications, Collaboration, Expectation Management, Writing, Continuous Improvement Process, Business Reporting, Spreadsheet Software

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    CPRA Compliance: A Practical Implementation Guide

    Skills you'll gain: Information Privacy, General Data Protection Regulation (GDPR), Security Requirements Analysis, Personally Identifiable Information, Incident Response, Law, Regulation, and Compliance, Regulatory Compliance, Compliance Management, Data Security, Regulation and Legal Compliance, Incident Management, Regulatory Requirements, Encryption, Data Management, Data Access, Legal Risk, Data Sharing, Personal Attributes

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    E

    EDUCBA

    R: Apply & Analyze K-Means Clustering for Unsupervised ML

    Skills you'll gain: Unsupervised Learning, Machine Learning Methods, Applied Machine Learning, R Programming, R (Software), Data Preprocessing, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Feature Engineering, Data Analysis, Data Processing

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Face Recognition with Keras: Detect & Classify

    Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Data Preprocessing, Deep Learning, Artificial Neural Networks, Embeddings, Model Deployment, Applied Machine Learning, Data Processing, Model Training, Classification Algorithms, Supervised Learning, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    Deep Learning with R: Build & Predict Neural Networks

    Skills you'll gain: Plot (Graphics), Statistical Visualization, R (Software), Data Visualization Software, R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Wrangling, Data Manipulation, Machine Learning Methods, Model Training

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northwestern University

    현대 로봇공학, 강좌 3: 로봇 동역학

    Skills you'll gain: Robotics, Mathematical Software, Mathematical Modeling, Simulation and Simulation Software, Mechanical Engineering, Numerical Analysis, Mechanics, Torque (Physics), Model Optimization, Algorithms, Control Systems, Applied Mathematics, Differential Equations

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Process & Analyze Real-Time Data Fast

    Skills you'll gain: Real Time Data, Apache Spark, Fraud detection, PySpark, Databricks, Data Pipelines, Dashboard Creation, Dashboard, Big Data, Performance Tuning, Data Processing, Internet Of Things, Data Analysis, Performance Analysis, Trend Analysis, Performance Improvement

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    W

    Whizlabs

    Fundamentals of Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Model Training, Image Analysis, Transfer Learning, Artificial Neural Networks, Model Evaluation, Applied Machine Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Fine-tuning, Machine Learning Methods, Model Optimization, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Hadoop Projects: Apply MapReduce, Pig & Hive

    Skills you'll gain: Apache Hadoop, Apache Hive, Big Data, Data Analysis, Analytics, Data Pipelines, Data Processing, Query Languages, Data Transformation, Data Preprocessing, Scripting Languages, Scripting

    Mixed · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Wie erstellen Sie einen Facebook-Geschäftsführer

    Skills you'll gain: Facebook, Social Media Management, Account Management, Social Media, Resource Allocation, User Accounts, Social Media Marketing, Asset Management, Business Management, Content Creation, Content Marketing, Social Work

    Beginner · Guided Project · Less Than 2 Hours

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

  • Data Science Fundamentals Part 2: Unit 3: Pearson
  • Machine Learning with Python: Case Studies: EDUCBA
  • Communication Channels for Project Success: Coursera
  • CPRA Compliance: A Practical Implementation Guide: Packt
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Face Recognition with Keras: Detect & Classify: EDUCBA
  • Deep Learning with R: Build & Predict Neural Networks: EDUCBA
  • 현대 로봇공학, 강좌 3: 로봇 동역학: Northwestern University
  • Process & Analyze Real-Time Data Fast: Coursera
  • Fundamentals of Deep Learning: Whizlabs

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