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  • Task Parallel Library Net Framework

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


  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Intro to Predictive Analytics Using Python

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Повышение эффективности глубоких нейросетей

    Skills you'll gain: Tensorflow, Deep Learning, Data Compilation, Test Data, Statistical Analysis, Artificial Neural Networks, Analysis, Performance Tuning, Machine Learning Algorithms, Machine Learning, Algorithms

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Applied Machine Learning, Data Manipulation, Data Analysis, Random Forest Algorithm, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات

    Skills you'll gain: Deep Learning, Tensorflow, Data Processing, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Analysis, Machine Learning, Algorithms, Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Methodology and Ethics in AI

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Debugging, Artificial Intelligence, Machine Learning, Bayesian Statistics, Applied Machine Learning, Artificial Neural Networks, Data-Driven Decision-Making, Information Privacy, Case Studies

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Fundamentos de IA Aplicados ao CRM

    Skills you'll gain: Predictive Analytics, Customer Relationship Management, Customer Data Management, Data-Driven Decision-Making, Applied Machine Learning, Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Predictive Analytics Project Ideation

    Skills you'll gain: Predictive Analytics, Business Analytics, Customer Analysis, Project Design, Applied Machine Learning, Solution Design, Machine Learning, Brainstorming, Trend Analysis, Design Thinking, Analysis, Decision Tree Learning, Deep Learning, Time Series Analysis and Forecasting

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Machine Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Cluster Analysis and Unsupervised Machine Learning in Python

    Skills you'll gain: Unsupervised Learning, Data Visualization, Machine Learning Algorithms, Interactive Data Visualization, Applied Machine Learning, Machine Learning, Statistical Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Matplotlib, Algorithms, NumPy, Python Programming, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Computational and Graphical Models in Probability

    Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Zero-Shot & Few-Shot Learning: Master AI with Minimal Data

    Skills you'll gain: Prompt Engineering, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Fraud detection, Supervised Learning, Semantic Web, Deep Learning, Small Data, Machine Learning, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Capstone Assignment - CDSS 5

    Skills you'll gain: Data Mining, Deep Learning, Clinical Data Management, Health Informatics, Responsible AI, Applied Machine Learning, Feature Engineering, Machine Learning, Predictive Modeling, Artificial Intelligence, Artificial Neural Networks, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

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

  • Intro to Predictive Analytics Using Python: University of Pennsylvania
  • Повышение эффективности глубоких нейросетей: DeepLearning.AI
  • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera
  • تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات : DeepLearning.AI
  • Practical Methodology and Ethics in AI: Johns Hopkins University
  • Fundamentos de IA Aplicados ao CRM: Fundação Instituto de Administração
  • Predictive Analytics Project Ideation: University of Minnesota
  • 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI
  • Cluster Analysis and Unsupervised Machine Learning in Python: Packt
  • Computational and Graphical Models in Probability: Johns Hopkins University

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