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

    • Status: Free
      Free
      J

      Johns Hopkins University

      Exploring Algorithmic Bias as a Policy Issue: A Teach-Out

      Skills you'll gain: Algorithms, Policy Analysis, Social Justice, Public Policies, Artificial Intelligence, Data Ethics, Diversity Equity and Inclusion Initiatives, Machine Learning, Mitigation

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Computational Thinking for K-12 Educators: Nested If Statements and Compound Conditionals

      Skills you'll gain: Debugging, Computer Programming Tools, Program Development, Computational Thinking, Programming Principles, Computer Programming, Computer Science, Game Design

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Simulation, Algorithm Analysis, and Pointers

      Skills you'll gain: Simulations, C (Programming Language), Computational Thinking, Automation, Algorithms, Data Structures, Programming Principles, File Management, Distributed Computing, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      36 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning: Techniques and Applications

      Skills you'll gain: Computer Vision, Machine Learning Algorithms, Image Analysis, Supervised Learning, Applied Machine Learning, Feature Engineering, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Predictive Modeling, Machine Learning, Data Analysis

      3.9
      Rating, 3.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Unsupervised Algorithms in Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Machine Learning Algorithms, Machine Learning, Data Science, Scikit Learn (Machine Learning Library), Python Programming, NumPy, Exploratory Data Analysis, Linear Algebra, Statistical Analysis

      Build toward a degree

      3.8
      Rating, 3.8 out of 5 stars
      ·
      22 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: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Project Planning and Machine Learning

      Skills you'll gain: Machine Learning Algorithms, Big Data, Product Development, File Systems, New Product Development, Data Analysis, Machine Learning, Internet Of Things, Data Processing, Supervised Learning, Product Planning, Data Cleansing, Unsupervised Learning, Data Storage, Project Planning, Systems Of Measurement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      132 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Computational Thinking with Javascript 1: Draw & Animate

      Skills you'll gain: Computational Thinking, Javascript, Programming Principles, Computer Programming, Computer Graphics, Animations, Debugging, Scripting Languages

      Beginner · Course · 1 - 4 Weeks

    • 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

    • Status: Free
      Free
      D

      DeepLearning.AI

      Evaluating and Debugging Generative AI

      Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Jupyter, Generative AI, Data Store, Version Control, System Monitoring, Development Environment

      Intermediate · Project · Less Than 2 Hours

    • P

      Packt

      Machine Learning – Modern Computer Vision & Generative AI

      Skills you'll gain: Test Driven Development (TDD), Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Keras (Neural Network Library), Machine Learning, Supervised Learning, Python Programming, Development Environment, Jupyter, NumPy, Software Installation

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Machine Learning: Random Forest with Python from Scratch©

      Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)

      Beginner · Course · 1 - 3 Months

    1…8910…834

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

    • Exploring Algorithmic Bias as a Policy Issue: A Teach-Out: Johns Hopkins University
    • Computational Thinking for K-12 Educators: Nested If Statements and Compound Conditionals : University of California San Diego
    • Simulation, Algorithm Analysis, and Pointers: University of Colorado System
    • Applied Machine Learning: Techniques and Applications: Johns Hopkins University
    • Unsupervised Algorithms in Machine Learning: University of Colorado Boulder
    • Foundations of Data Science and Machine Learning with Python: Packt
    • Project Planning and Machine Learning: University of Colorado Boulder
    • Computational Thinking with Javascript 1: Draw & Animate: University of Glasgow
    • Machine Learning Algorithms: Sungkyunkwan University
    • Evaluating and Debugging Generative AI: DeepLearning.AI

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