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  • Machine Learning Computational Thinking For K 12 Educators Sequences And Loops

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


  • Status: New
    New
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    E

    EDUCBA

    Machine Learning with Python: Case Studies

    Skills you'll gain: Regression Analysis, Feature Engineering, Time Series Analysis and Forecasting, Applied Machine Learning, Machine Learning Algorithms, Predictive Modeling, Predictive Analytics, Credit Risk, Supervised Learning, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Statistical Modeling, Unsupervised Learning, Machine Learning, Python Programming, Data Visualization, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
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    15K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Predictive Modeling, Machine Learning, Supervised Learning, Data Science, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Performance Metric

    4.6
    Rating, 4.6 out of 5 stars
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    296 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of California San Diego

    Data Structures and Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Program Development, Bioinformatics, Data Storage, Development Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Programming Principles, File Systems, Computer Programming, Python Programming, C and C++, Java, Rust (Programming Language), Javascript, Software Testing, Debugging

    4.6
    Rating, 4.6 out of 5 stars
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    17K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    V

    Vanderbilt University

    Innovative Teaching with ChatGPT

    Skills you'll gain: ChatGPT, Creative Problem-Solving, AI Personalization, Innovation, Brainstorming, Education Software and Technology, Student Engagement, Prompt Engineering, Generative AI

    4.8
    Rating, 4.8 out of 5 stars
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    614 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    E

    EDUCBA

    AI & Machine Learning: Apply, Build & Solve

    Skills you'll gain: Artificial Intelligence, Applied Machine Learning, Computational Logic, Machine Learning, Unsupervised Learning, Bayesian Statistics, Artificial Neural Networks, Reinforcement Learning, Markov Model, Algorithms, Probability & Statistics

    Mixed · Course · 1 - 3 Months

  • Status: New
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    Dartmouth College

    Foundations for Machine Learning

    Skills you'll gain: Probability & Statistics, Statistical Methods

    Intermediate · Course · 1 - 3 Months

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    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
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    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Mathematics for Machine Learning and Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
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    3.1K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking for K-12 Educators: Sequences and Loops

    Skills you'll gain: Computational Thinking, Education Software and Technology, Programming Principles, Debugging, Computer Programming, Algorithms, Development Environment, Computer Science, Brainstorming

    4.8
    Rating, 4.8 out of 5 stars
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    25 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Keras (Neural Network Library), Artificial Neural Networks, Python Programming, Classification And Regression Tree (CART), Data Science, Tensorflow, Mathematical Modeling, Computer Vision

    Build toward a degree

    3.4
    Rating, 3.4 out of 5 stars
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    127 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    U

    University of Michigan

    Problem Solving Using Computational Thinking

    Skills you'll gain: Computational Thinking, Programming Principles, Problem Solving, Computer Science, Disaster Recovery, Algorithms, Computer Programming, Public Health

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 3 Months

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

  • Machine Learning with Python: Case Studies: EDUCBA
  • Mathematics for Machine Learning: Imperial College London
  • Machine Learning Introduction for Everyone: IBM
  • Data Structures and Algorithms: University of California San Diego
  • Innovative Teaching with ChatGPT: Vanderbilt University
  • AI & Machine Learning: Apply, Build & Solve: EDUCBA
  • Foundations for Machine Learning: Dartmouth College
  • Computational Neuroscience: University of Washington
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Computational Thinking for K-12 Educators: Sequences and Loops: University of California San Diego

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