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  • Computational Thinking For K 12 Educators Sequences And Loops

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


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    N

    Northeastern University

    Aligning Business Strategy for AI Integration

    Skills you'll gain: Competitive Analysis, AI Product Strategy, Machine Learning, Responsible AI, Business Strategy, Business Intelligence, Organizational Strategy, Strategic Thinking, Business Analytics, Market Analysis, Artificial Intelligence, Value Engineering, Business Analysis, Ethical Standards And Conduct, Analytics, Case Studies

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Features and Boundaries

    Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Algorithms, Linear Algebra, Mathematical Modeling, Machine Learning Algorithms, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    53 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    TensorFlow: Data and Deployment

    Skills you'll gain: Extract, Transform, Load, Data Pipelines, Image Analysis, Data Import/Export, Tensorflow, iOS Development, Application Deployment, Android Development, Data Processing, Computer Vision, MLOps (Machine Learning Operations), Swift Programming, Keras (Neural Network Library), Feature Engineering, Mobile Development, Data Integration, Data Transformation, Deep Learning, Javascript, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.5K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Unsupervised Text Classification for Marketing Analytics

    Skills you'll gain: Unsupervised Learning, Unstructured Data, Marketing Analytics, Text Mining, Deep Learning, Machine Learning, JSON, Data Processing, Natural Language Processing, Machine Learning Algorithms, Exploratory Data Analysis, Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Regression and Classification

    Skills you'll gain: Statistical Modeling, Statistical Machine Learning, Regression Analysis, Statistical Methods, Predictive Modeling, Statistical Analysis, Classification And Regression Tree (CART), Data Science, R Programming, Probability & Statistics, Supervised Learning, Machine Learning, Applied Machine Learning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
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    15 reviews

    Intermediate · Course · 1 - 3 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, Irvine

    Identifying the Right Role for Yourself

    Skills you'll gain: Artificial Intelligence, Machine Learning, Data Science, Data Analysis, Data Architecture, Needs Assessment, Big Data, System Requirements, Analytical Skills, Business Analysis, Cloud Computing Architecture, Cloud Engineering

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI and Public Health

    Skills you'll gain: Data Analysis, Jupyter, Exploratory Data Analysis, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Responsible AI, Supervised Learning, Information Privacy, Deep Learning, Environmental Monitoring, Public Health

    4.8
    Rating, 4.8 out of 5 stars
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    247 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    N

    Northeastern University

    Statistical Learning for Engineering Part 1

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

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    AWS AutoGluon for Machine Learning Classification

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, Classification And Regression Tree (CART), Predictive Modeling, Machine Learning Algorithms, Machine Learning, Python Programming, Data Visualization

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Deep Learning for Real Estate Price Prediction

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Applied Machine Learning, Data Processing, Feature Engineering, Property and Real Estate, Predictive Modeling, Data Cleansing, Performance Analysis, Machine Learning, Real Estate, Regression Analysis, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    23 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Generative AI, Tensorflow, Generative AI Agents, Google Cloud Platform, Dataflow, Keras (Neural Network Library), Data Quality, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Data Pipelines, Apache Airflow, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Data Cleansing, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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

  • Aligning Business Strategy for AI Integration: Northeastern University
  • Features and Boundaries: Columbia University
  • TensorFlow: Data and Deployment: DeepLearning.AI
  • Unsupervised Text Classification for Marketing Analytics: University of Colorado Boulder
  • Regression and Classification: University of Colorado Boulder
  • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
  • Identifying the Right Role for Yourself: University of California, Irvine
  • AI and Public Health: DeepLearning.AI
  • Statistical Learning for Engineering Part 1: Northeastern University
  • AWS AutoGluon for Machine Learning Classification: Coursera

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