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

    • Status: Preview
      Preview
      S

      Sungkyunkwan University

      Machine Learning Algorithms

      Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Linear Algebra, Bayesian Statistics, Probability & Statistics

      3.5
      Rating, 3.5 out of 5 stars
      ·
      8 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine Learning with ChatGPT: Image Classification Model

      Skills you'll gain: ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Image Analysis, Machine Learning Methods, Data Import/Export, Test Data, Machine Learning, Python Programming, Performance Tuning, Artificial Neural Networks, Data Processing, Deep Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      33 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Computational Thinking for K-12 Educators: Conditional Loops and If Statements

      Skills you'll gain: Debugging, Program Development, Programming Principles, Computational Thinking, Education Software and Technology, Diversity Equity and Inclusion Initiatives, Computer Programming, Computer Science, Technical Communication

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Create Machine Learning Models in Microsoft Azure

      Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Jupyter, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Classification And Regression Tree (CART), MLOps (Machine Learning Operations), Machine Learning, Tensorflow, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      308 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Science and Machine Learning with Python

      Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Data Visualization, Machine Learning Algorithms, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Python Programming, Data Science, Supervised Learning, Artificial Neural Networks, Regression Analysis, Data Structures

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Machine Learning Fundamentals for Java Developers

      Skills you'll gain: Decision Tree Learning, Regression Analysis, Debugging

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Algorithms, Data Collection, and Starting to Code

      Skills you'll gain: Computational Thinking, Data Collection, Microsoft Visual Studio, Program Development, C (Programming Language), Programming Principles, Algorithms, Development Environment, Computer Programming, Data Structures, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      376 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Algorithmic Thinking (Part 2)

      Skills you'll gain: Computational Thinking, Algorithms, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      216 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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, 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 Glasgow

      Computational Thinking with JavaScript 2: Model & Analyse

      Skills you'll gain: JSON, Data Structures, Computational Thinking, Data Analysis, Data Visualization Software, Scripting Languages, Scripting, Javascript, Data Processing, Unsupervised Learning, Data Science, Data Modeling, Machine Learning, Programming Principles, Computer Programming, Algorithms, Software Development

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Data Analysis and Representation, Selection and Iteration

      Skills you'll gain: Computational Thinking, Data Analysis, C (Programming Language), Statistical Analysis, Programming Principles, Data Structures, Descriptive Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      93 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      N

      Northeastern University

      Machine Learning for Engineers: Algorithms and Applications

      Skills you'll gain: Supervised Learning, Statistical Machine Learning, Machine Learning Algorithms, Unsupervised Learning, PyTorch (Machine Learning Library), Applied Machine Learning, Statistical Methods, Statistical Modeling, Machine Learning, Statistical Analysis, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Algorithms, Predictive Modeling, Dimensionality Reduction, Complex Problem Solving

      Intermediate · Course · 1 - 4 Weeks

    1…678…834

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

    • Machine Learning Algorithms: Sungkyunkwan University
    • Machine Learning with ChatGPT: Image Classification Model: Coursera Project Network
    • Computational Thinking for K-12 Educators: Conditional Loops and If Statements: University of California San Diego
    • Create Machine Learning Models in Microsoft Azure: Microsoft
    • Foundations of Data Science and Machine Learning with Python: Packt
    • Machine Learning Fundamentals for Java Developers: Board Infinity
    • Algorithms, Data Collection, and Starting to Code: University of Colorado System
    • Algorithmic Thinking (Part 2): Rice University
    • Machine Learning and Human Learning: University of Illinois Urbana-Champaign
    • Computational Thinking with JavaScript 2: Model & Analyse: University of Glasgow

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