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

    • Status: Free Trial
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      I

      IBM

      Machine Learning with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Feature Engineering, Applied Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Dimensionality Reduction, Regression Analysis, Decision Tree Learning, Classification And Regression Tree (CART), Statistical Modeling

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Algorithm Alchemy: Unlocking the Secrets of Machine Learning

      Skills you'll gain:

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Computational Thinking with JavaScript

      Skills you'll gain: Computational Thinking, JSON, Application Deployment, Data Structures, Javascript, Application Development, HTML and CSS, Data Analysis, Code Review, Software Development, Data Visualization Software, Web Development, Scripting Languages, Scripting, Prototyping, Data Processing, Programming Principles, Unsupervised Learning, Front-End Web Development, Computer Programming

      Beginner · Specialization · 3 - 6 Months

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

      Birla Institute of Technology & Science, Pilani

      Linear Algebra for Machine Learning & AI

      Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Numerical Analysis, Machine Learning, Artificial Neural Networks, Dimensionality Reduction, Data Analysis

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Computational Thinking & Block Programming in K-12 Education

      Skills you'll gain: Debugging, Computer Programming Tools, Algorithms, Programming Principles, Computational Thinking, Diversity Awareness, Program Development, Technical Communication, Event-Driven Programming, Computer Programming, Education Software and Technology, Code Review, Diversity Equity and Inclusion Initiatives, Computer Science, Software Documentation, Brainstorming, Data Structures, Development Environment, Student Engagement, Game Design

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Prompt Engineering for Educators

      Skills you'll gain: Prompt Engineering, ChatGPT, Productivity, Creative Problem-Solving, Generative AI, AI Personalization, Data Synthesis, Image Analysis, Data Capture, Artificial Intelligence, Innovation, Brainstorming, OpenAI, Large Language Modeling, Game Design, Data Analysis, Organizational Skills, Education Software and Technology, Computer Vision, Data Storytelling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.2K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Probability & Statistics for Machine Learning & Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      598 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Machine Learning, Python Programming, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      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, Design Thinking, Simulations

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, Mathematical Modeling, NumPy, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      884 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Science and Machine Learning with Python

      Skills you'll gain: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Introduction to Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Regression Analysis, Dimensionality Reduction, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Processing, Data Access, Anomaly Detection, Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Analysis, Data Analysis, Statistical Modeling, Applied Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.1K reviews

      Intermediate · Specialization · 3 - 6 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: IBM
    • Algorithm Alchemy: Unlocking the Secrets of Machine Learning: Packt
    • Computational Thinking with JavaScript: University of Glasgow
    • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
    • Computational Thinking & Block Programming in K-12 Education: University of California San Diego
    • Prompt Engineering for Educators: Vanderbilt University
    • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Problem Solving Using Computational Thinking: University of Michigan
    • Calculus for Machine Learning and Data Science: DeepLearning.AI

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