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  • Computational Thinking For K 12 Educators Sequences And Loops

Results for "computational thinking for k-12 educators: sequences and loops"


  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Machine Learning and Human Learning

    Skills you'll gain: Supervised Learning, Machine Learning, Applied Machine Learning, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Artificial Intelligence, Data Mining, Mobile Development, Human Computer Interaction, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Matrix Factorization and Advanced Techniques

    Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Advanced Mathematics, Linear Algebra

    4.3
    Rating, 4.3 out of 5 stars
    ·
    189 reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google Cloud

    Responsible AI for Developers: Fairness & Bias - Português

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Google Cloud Platform, Tensorflow, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Regression Analysis for Statistics & Machine Learning in R

    Skills you'll gain: Data Cleansing, R Programming, Statistical Analysis, R (Software), Data Manipulation, Classification And Regression Tree (CART), Advanced Analytics, Statistical Modeling, Random Forest Algorithm, Statistical Methods, Predictive Modeling, Exploratory Data Analysis, Feature Engineering, Machine Learning, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Big Data, Artificial Intelligence, and Ethics

    Skills you'll gain: Data Ethics, Artificial Intelligence, Research, Natural Language Processing, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Research Methodologies, Social Sciences, Responsible AI, Analytics, Machine Learning, Data Mining, Case Studies, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    674 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    Beginning Llamafile for Local Large Language Models (LLMs)

    Skills you'll gain: LLM Application, Large Language Modeling, Application Programming Interface (API), Restful API, Natural Language Processing, JSON, Scripting, Command-Line Interface, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI for Developers: Fairness & Bias - Italiano

    Skills you'll gain: Responsible AI, Data Ethics, Google Cloud Platform, Artificial Intelligence, Open Source Technology, MLOps (Machine Learning Operations), Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Applied Machine Learning, Supervised Learning, Data Science, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Machine Learning, Predictive Modeling, Random Forest Algorithm, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    NoSQL, Big Data, and Spark Foundations

    Skills you'll gain: NoSQL, Apache Spark, Apache Hadoop, MongoDB, PySpark, Extract, Transform, Load, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Applied Machine Learning, Generative AI, Machine Learning Algorithms, IBM Cloud, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    810 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Data Analytics and Deep Learning

    Skills you'll gain: Big Data, Machine Learning Algorithms, NoSQL, Deep Learning, Statistical Analysis, Data Visualization, Data Analysis, Apache Hadoop, Exploratory Data Analysis, Apache Kafka, Apache Spark, Generative AI, Data Cleansing, Analytics, Real Time Data, Apache Cassandra, Artificial Neural Networks, Keras (Neural Network Library), PyTorch (Machine Learning Library), Machine Learning

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    38 reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Responsible AI for Developers: Privacy & Safety - Français

    Skills you'll gain: Responsible AI, Information Privacy, Cloud Security, Generative AI, Google Cloud Platform, Data Security, Data Ethics, Application Security, Data Governance, Artificial Intelligence, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Responsible AI for Developers: Privacy & Safety - Deutsch

    Skills you'll gain: Responsible AI, Artificial Intelligence, Information Privacy, Generative AI, Personally Identifiable Information, Data Security, Data Ethics, Cloud Security, Application Security, Google Cloud Platform, Machine Learning, Safety and Security

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular computational thinking for k-12 educators: sequences and loops courses

  • Machine Learning and Human Learning: University of Illinois Urbana-Champaign
  • Matrix Factorization and Advanced Techniques: University of Minnesota
  • Responsible AI for Developers: Fairness & Bias - Português: Google Cloud
  • Regression Analysis for Statistics & Machine Learning in R: Packt
  • Big Data, Artificial Intelligence, and Ethics: University of California, Davis
  • Beginning Llamafile for Local Large Language Models (LLMs): Duke University
  • Responsible AI for Developers: Fairness & Bias - Italiano: Google Cloud
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • NoSQL, Big Data, and Spark Foundations: IBM
  • Data Analytics and Deep Learning: Illinois Tech

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