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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 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
    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

  • 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

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Artificial Intelligence Privacy and Convenience

    Skills you'll gain: Data Ethics, Responsible AI, Information Privacy, Personally Identifiable Information, Machine Learning, Artificial Intelligence, Data Security, Data Governance, Predictive Modeling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    100 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Polski

    Skills you'll gain: Responsible AI, Data Ethics, Data Analysis, Artificial Intelligence, Data Processing, Machine Learning, Technical Documentation, Data Validation, Software Documentation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - Italiano

    Skills you'll gain: Data Ethics, Responsible AI, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Software Visualization, Data Integrity, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    The Nuts and Bolts of Machine Learning

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    575 reviews

    Advanced · 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

  • 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
  • Data Analytics and Deep Learning: Illinois Tech
  • Responsible AI for Developers: Privacy & Safety - Français: Google Cloud
  • Responsible AI for Developers: Privacy & Safety - Deutsch: Google Cloud
  • Matrix Factorization and Advanced Techniques: University of Minnesota
  • Artificial Intelligence Privacy and Convenience: LearnQuest
  • Responsible AI for Developers: Interpretability & Transparency - Polski: Google Cloud
  • Machine Learning: Concepts and Applications: The University of Chicago

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