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Results for "ml"


  • Status: Free Trial
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    Google Cloud

    Data Engineer, Big Data and ML on Google Cloud en Français

    Skills you'll gain: Dataflow, Google Cloud Platform, Real Time Data, Apache Kafka, Data Lakes, Data Import/Export, Data Pipelines, Looker (Software), PySpark, Tensorflow, Data Architecture, Apache Spark, Dashboard, Extract, Transform, Load, Unstructured Data, Big Data, Cloud Infrastructure, Feature Engineering, Data Warehousing, Applied Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    58 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Supervised Learning, Random Forest Algorithm, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Predictive Modeling, Performance Testing, Data Analysis, Scikit Learn (Machine Learning Library), Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of ML & Python for Data Science

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

    Beginner · Course · 1 - 4 Weeks

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

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    EDUCBA

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

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Machine Learning, Feature Engineering, Data Analysis, Data Manipulation, Probability & Statistics

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    C

    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Analysis, Feature Engineering, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
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    745 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    ML Algorithms

    Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Text Mining, Time Series Analysis and Forecasting, Supervised Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART)

    3.6
    Rating, 3.6 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    113 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Data Engineer, Big Data and ML on Google Cloud auf Deutsch

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Data Lakes, Dashboard, Tensorflow, Data Warehousing, Apache Spark, Big Data, Data Infrastructure, Cloud Engineering, Applied Machine Learning, Cloud Storage, Data Storage, Data Processing, PySpark, Data Storage Technologies, Data Analysis, Data Migration

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
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    Pearson

    Google BigQuery for Data and ML Engineers

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning, Data Analysis, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    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), Data Pipelines, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption

    Intermediate · Course · 1 - 4 Weeks

Searches related to ml

mlops
ml ops
mlops | machine learning operations
ml algorithms
mlops tools: mlflow and hugging face
ml parameters optimization: gridsearch, bayesian, random
mlops platforms: amazon sagemaker and azure ml
mlops with vertex ai: manage features - español
1…456…88

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

  • Data Engineer, Big Data and ML on Google Cloud en Français: Google Cloud
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Foundations of ML & Python for Data Science: Packt
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • R: Apply & Analyze K-Means Clustering for Unsupervised ML: EDUCBA
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Introduction to Embedded Machine Learning: Edge Impulse
  • ML Algorithms: Whizlabs
  • Machine Learning with Apache Spark: IBM
  • Data Engineer, Big Data and ML on Google Cloud auf Deutsch: Google Cloud

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