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    Results for "distributed machine learning"

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 2

      Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Machine Learning Methods, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis, Performance Measurement

      4.2
      Rating, 4.2 out of 5 stars
      ·
      22 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Machine Learning for Accounting with Python

      Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Supervised Learning, Predictive Modeling, Python Programming, Regression Analysis, Feature Engineering, Jupyter, Pandas (Python Package), Natural Language Processing, Statistical Analysis, Performance Metric

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 1

      Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Import/Export, Data Analysis, Machine Learning, Data-Driven Decision-Making

      4.4
      Rating, 4.4 out of 5 stars
      ·
      56 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning Operations (MLOps): Getting Started

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Machine Learning Software, Continuous Deployment, Machine Learning, Continuous Integration, Continuous Monitoring, Automation, Software Development Methodologies

      4
      Rating, 4 out of 5 stars
      ·
      465 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Image Analysis, Artificial Intelligence, Program Development, Process Driven Development, Computer Vision, Software Development Life Cycle, Regression Analysis, Time Series Analysis and Forecasting, Network Architecture, Network Model

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 4

      Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Analysis, Google Cloud Platform, Jupyter, Decision Tree Learning, Data Processing, Exploratory Data Analysis, Machine Learning, Random Forest Algorithm, Statistical Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      14 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Titanic Survival Prediction Using Machine Learning

      Skills you'll gain: Feature Engineering, Data Cleansing, Predictive Modeling, Classification And Regression Tree (CART), Applied Machine Learning, Data Processing, Data Manipulation, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Predictive Analytics, Machine Learning Algorithms, Data Science, Python Programming

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Interpretable machine learning applications: Part 3

      Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Financial Forecasting, Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Commercial Lending, Decision Making, Mortgage Loans, Exploratory Data Analysis, Consumer Lending

      4.5
      Rating, 4.5 out of 5 stars
      ·
      21 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Employee Attrition Prediction Using Machine Learning

      Skills you'll gain: Data Visualization, Feature Engineering, Data Cleansing, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Science, Classification And Regression Tree (CART), Applied Machine Learning, Regression Analysis, Supervised Learning, Predictive Analytics, Machine Learning, Human Resources, Decision Tree Learning, Employee Retention

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      M

      Maven Analytics

      Complete Visual Guide to Machine Learning

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Statistical Analysis, Data Science, Data Mining, Workflow Management, Machine Learning, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Histogram, Data Quality, Anomaly Detection, Feature Engineering, Dimensionality Reduction, Business Intelligence, Quality Assurance

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Machine Learning - Anomaly Detection via PyCaret

      Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Predictive Modeling, Interactive Data Visualization, Applied Machine Learning, Machine Learning, Machine Learning Software, Machine Learning Algorithms

      3.8
      Rating, 3.8 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Foundations of Distributed Database Systems

      Skills you'll gain: Distributed Computing, Scalability, Database Systems, Database Architecture and Administration, Databases, Relational Databases, SQL, Query Languages, Performance Tuning, Data Integrity

      Intermediate · Course · 1 - 4 Weeks

    1…171819…512

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

    • Interpretable Machine Learning Applications: Part 2: Coursera Project Network
    • Machine Learning for Accounting with Python: University of Illinois Urbana-Champaign
    • Interpretable Machine Learning Applications: Part 1: Coursera Project Network
    • Machine Learning Operations (MLOps): Getting Started: Google Cloud
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
    • Interpretable Machine Learning Applications: Part 4: Coursera Project Network
    • Titanic Survival Prediction Using Machine Learning: Coursera Project Network
    • Interpretable machine learning applications: Part 3: Coursera Project Network
    • Employee Attrition Prediction Using Machine Learning: Coursera Project Network
    • Complete Visual Guide to Machine Learning: Maven Analytics

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