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  • Ml

Results for "ml"


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud en Español

    Skills you'll gain: Model Deployment, Google Cloud Platform, Data Lakes, Data Pipelines, Big Data, Dataflow, Data Architecture, Extract, Transform, Load, Tensorflow, Data Warehousing, Query Languages, Apache Spark, Real Time Data, Data Processing, SQL, Data Integration, Data Management, Unstructured Data, Apache Hadoop, Applied Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    815 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis

    3.9
    Rating, 3.9 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 1 - 3 Months

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

    Coursera

    Automate, Optimize, and Monitor ML Models

    Skills you'll gain: Verification And Validation, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Model Deployment, Data Management, Data Pipelines, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: ML Workflows with SageMaker, Storage & Security

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Amazon CloudWatch, AWS Identity and Access Management (IAM), Model Deployment, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption, Key Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    AI & ML Applications in Oil and Gas Industry

    Skills you'll gain: Oil and Gas, Petroleum Industry, Big Data, Data Management, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Process Engineering, Geostatistics, Anomaly Detection, Image Analysis, Production Process, Machine Learning, Artificial Intelligence, Physical Science, Natural Resource Management, Exploratory Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    60 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    DevOps to MLOps Bootcamp– Build & Deploy ML Systems

    Skills you'll gain: Model Deployment, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    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

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.5
    Rating, 3.5 out of 5 stars
    ·
    56 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Apply SOLID Design to Optimize Java ML

    Skills you'll gain: Apache Maven, Maintainability, Gradle, Java, Software Design, Software Design Patterns, Software Architecture, Object Oriented Design, Object Oriented Programming (OOP), API Design, Machine Learning Methods, Programming Principles, Integration Testing, Dependency Analysis, User Interface (UI) Design, Design Strategies, Program Evaluation, Automation

    Advanced · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular ml courses

  • Data Engineering, Big Data and ML on Google Cloud en Español: Google Cloud
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Automate, Optimize, and Monitor ML Models: Coursera
  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
  • AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs
  • AI & ML Applications in Oil and Gas Industry: L&T EduTech
  • Foundations of ML & Python for Data Science: Packt
  • DevOps to MLOps Bootcamp– Build & Deploy ML Systems: Packt
  • Learn to Choose the Right ML Model: Coursera
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University

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