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    • Computational Thinking For K 12 Educators Sequences And Loops
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    Results for "computational thinking for k-12 educators: sequences and loops"

    • Status: Preview
      Preview
      D

      Duke University

      Beginning Llamafile for Local Large Language Models (LLMs)

      Skills you'll gain: Large Language Modeling, Application Programming Interface (API), Restful API, Natural Language Processing, MLOps (Machine Learning Operations), JSON, Servers, Command-Line Interface, Open Source Technology, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      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

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - 한국어

      Skills you'll gain: Information Privacy, Data Ethics, Personally Identifiable Information, Secure Coding, Google Cloud Platform, Cloud Security, Data Security, Safety and Security, Artificial Intelligence, Generative AI, 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, Artificial Neural Networks, Dimensionality Reduction, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Machine Learning, Predictive Modeling, Feature Engineering, Random Forest Algorithm, Statistics

      4.4
      Rating, 4.4 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Français

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

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Español

      Skills you'll gain: Data Ethics, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Open Source Technology, Machine Learning, Data Quality, Data Analysis, Analysis, Data Validation

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Artificial Intelligence Privacy and Convenience

      Skills you'll gain: Data Ethics, Information Privacy, Personally Identifiable Information, Machine Learning, Artificial Intelligence, Ethical Standards And Conduct, Data Security, Vulnerability Assessments, Data Governance, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      93 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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, Research Methodologies, Social Sciences, Machine Learning, Data Mining, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      645 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      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, Data Presentation, Generative AI, Data Cleansing, Applied Machine Learning, Analytics, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      28 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      NoSQL, Big Data, and Spark Foundations

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      788 reviews

      Beginner · Specialization · 3 - 6 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, Artificial Intelligence and Machine Learning (AI/ML), Algorithms, Linear Algebra

      4.3
      Rating, 4.3 out of 5 stars
      ·
      189 reviews

      Mixed · Course · 1 - 3 Months

    • P

      Packt

      Regression Analysis for Statistics & Machine Learning in R

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

      Intermediate · Course · 1 - 3 Months

    1…161718…74

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

    • Beginning Llamafile for Local Large Language Models (LLMs): Duke University
    • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera Project Network
    • Responsible AI for Developers: Privacy & Safety - 한국어: Google Cloud
    • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
    • Responsible AI for Developers: Privacy & Safety - Français: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Español: Google Cloud
    • Artificial Intelligence Privacy and Convenience: LearnQuest
    • Big Data, Artificial Intelligence, and Ethics: University of California, Davis
    • Data Analytics and Deep Learning: Illinois Tech
    • NoSQL, Big Data, and Spark Foundations: IBM

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