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  • Task Parallel Library Net Framework

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


  • Status: New
    New
    P

    Packt

    A Practical Approach to Timeseries Forecasting Using Python

    Skills you'll gain: Forecasting, Statistical Modeling, Machine Learning Methods, Feature Engineering, Data Visualization Software

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Regression Analysis, Supervised Learning, Machine Learning Algorithms, Machine Learning, Predictive Modeling, Applied Machine Learning, Scikit Learn (Machine Learning Library), Statistical Modeling, Feature Engineering, Python Programming, Linear Algebra, NumPy, Algorithms

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidades Anáhuac

    Deep Learning: Del Concepto a la Práctica

    Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Tensorflow, Image Analysis, Computer Vision, Machine Learning Methods, Natural Language Processing, Artificial Intelligence, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Michigan

    Network Modeling and Analysis in Python

    Skills you'll gain: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    SAS

    머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정

    Skills you'll gain: Machine Learning, Data Ethics, Responsible AI, Technical Communication, Predictive Analytics, Supervised Learning, Artificial Intelligence, Data Analysis, Decision Tree Learning, Regression Analysis, Statistical Analysis, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Real-time analytics with Spark: User Activity Monitoring

    Skills you'll gain: Apache Spark, Data Pipelines, PySpark, Real Time Data, Query Languages, Data Transformation, SQL, Data Processing, Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    Simplilearn

    GenAI for Code Migration Tasks Training

    Skills you'll gain: Generative AI, Microsoft Copilot, Data Migration, Software Development Tools, Artificial Intelligence, Maintainability, Scalability, Performance Tuning, Kubernetes, Software Versioning, Application Frameworks, Algorithms, Data Structures

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    N

    Northeastern University

    Database to AI: Practical Data Analytics Integration

    Skills you'll gain: Database Management Systems, Data Modeling, Database Design, Database Systems, Database Theory, Big Data, Unified Modeling Language, Database Architecture and Administration, Data Storage Technologies, Apache Hadoop, NoSQL, Apache Spark, Conceptual Design, MongoDB

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Job Shop Scheduling Using MILP Optimization on RStudio

    Skills you'll gain: R Programming, Analysis, Mathematical Software, Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 1

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Modèles de séquence

    Skills you'll gain: Natural Language Processing, Deep Learning, Generative AI, Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Algorithms, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

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

  • A Practical Approach to Timeseries Forecasting Using Python: Packt
  • 머신 러닝: 회귀 모델: University of Washington
  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
  • Network Modeling and Analysis in Python: University of Michigan
  • 머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정: SAS
  • Real-time analytics with Spark: User Activity Monitoring: Coursera
  • GenAI for Code Migration Tasks Training: Simplilearn
  • Database to AI: Practical Data Analytics Integration: Northeastern University
  • Job Shop Scheduling Using MILP Optimization on RStudio: Coursera

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