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  • Task Parallel Library Net Framework Data Science

Results for "task parallel library (.net framework) data science"


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    CUDA Advanced Libraries

    Skills you'll gain: Artificial Neural Networks, Program Development, Applied Machine Learning, Deep Learning, Software Development, Image Analysis, Linear Algebra, Mathematical Software, Machine Learning, Digital Signal Processing, Data Processing, Data Structures, Data Transformation, Algorithms, Data Science

    3.2
    Rating, 3.2 out of 5 stars
    ·
    22 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Statistical Machine Learning, Data Preprocessing, Data Storage, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Model Evaluation, Descriptive Statistics

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Databricks

    Introduction to Computational Statistics for Data Scientists

    Skills you'll gain: Bayesian Statistics, Databricks, Sampling (Statistics), Statistical Modeling, Probability, Jupyter, Regression Analysis, Probability & Statistics, Model Evaluation, Statistical Software, Probability Distribution, Data Science, Markov Model, Statistics, Statistical Programming, Statistical Inference, Statistical Methods, Simulations, Data Visualization, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    109 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    830 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Python Packages for Data Science

    Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Pandas (Python Package), NumPy, Data Visualization Software, Data Visualization, Data Manipulation, Statistical Visualization, Data Wrangling, Data Science, Data Processing, Package and Software Management, Python Programming, Data Structures

    4.6
    Rating, 4.6 out of 5 stars
    ·
    79 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Coding and Automation for Data Analysis with Generative AI

    Skills you'll gain: Prompt Engineering, Excel Formulas, Generative AI, Data Pipelines, Data Ethics, Responsible AI, Data Processing, AI Integrations, Debugging, AI Workflows, Microsoft Excel, Automation, Data Analysis, SQL

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    YARN MapReduce Architecture and Advanced Programming

    Skills you'll gain: Apache Hadoop, Data Processing, Distributed Computing, Performance Tuning, Big Data, Software Architecture, Scalability, Program Development, System Configuration, File I/O, Software Design Patterns

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark (Scala 2 version)

    Skills you'll gain: Apache Spark, Scala Programming, Apache Hadoop, Big Data, Data Manipulation, Distributed Computing, Data Processing, Performance Tuning, SQL, Data Transformation, Network Performance Management, Data Persistence, Data Analysis, Programming Principles

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Apache Spark: Apply & Evaluate Big Data Workflows

    Skills you'll gain: Apache Spark, Data Persistence, Big Data, Data Processing, Distributed Computing, Data Import/Export, JSON, Data Transformation, Performance Tuning

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Microsoft Fabric: Ingest and Transform Data

    Skills you'll gain: Dataflow, Real Time Data, Data Pipelines, Data Transformation, Data Integration, Data Processing, Extract, Transform, Load, Power BI, PySpark, Apache Spark, Data Quality, Data Store, Data Governance, Analytics

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    PySpark in Action: Hands-On Data Processing

    Skills you'll gain: PySpark, Apache Spark, Apache Hadoop, Data Pipelines, Big Data, Data Storage Technologies, Data Processing, Distributed Computing, Data Architecture, Data Storage, Data Wrangling, Data Integration, Data Transformation, SQL, Data Manipulation, Performance Tuning

    2.8
    Rating, 2.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Serverless Data Processing with Dataflow: Foundations

    Skills you'll gain: Dataflow, Serverless Computing, Identity and Access Management, Data Pipelines, Google Cloud Platform, Cloud Security, Data Processing, Data Security, Cloud Storage, Containerization, Interoperability

    4.1
    Rating, 4.1 out of 5 stars
    ·
    94 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular task parallel library (.net framework) data science courses

  • CUDA Advanced Libraries: Johns Hopkins University
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • Introduction to Computational Statistics for Data Scientists: Databricks
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Python Packages for Data Science: University of Colorado Boulder
  • Coding and Automation for Data Analysis with Generative AI: Microsoft
  • YARN MapReduce Architecture and Advanced Programming: Johns Hopkins University
  • Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • Apache Spark: Apply & Evaluate Big Data Workflows: EDUCBA
  • Microsoft Fabric: Ingest and Transform Data: Whizlabs

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