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  • Computational Thinking For K 12 Educators Sequences And Loops

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


  • C

    Coursera

    Explainable AI: Scene Classification and GradCam Visualization

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Image Analysis, Tensorflow, Computer Vision, Machine Learning Methods, Applied Machine Learning, Artificial Neural Networks, Predictive Modeling, Machine Learning, Data Processing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    58 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Teaching Impacts of Technology: Data Collection, Use, and Privacy

    Skills you'll gain: Data Ethics, Big Data, Cybersecurity, Pedagogy, Data Security, Cryptography, Information Privacy, Encryption, Responsible AI, AI Personalization, Computer Science, Information Technology, Informatics, Web Servers, Machine Learning, Supervised Learning, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Practical Engineering Data Mining: Techniques and Uses

    Skills you'll gain: Data Mining, Exploratory Data Analysis, Dimensionality Reduction, Data Cleansing, Data Transformation, Text Mining, Data-Driven Decision-Making, Forecasting, Big Data, Feature Engineering, Unstructured Data, Data Analysis, Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Statistical Analysis, Data Visualization Software, Unsupervised Learning, Machine Learning, Regression Analysis

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Responsible AI for Developers: Interpretability & Transparency - 繁體中文

    Skills you'll gain: Responsible AI, Data Ethics, Machine Learning Methods, Data Modeling, Artificial Intelligence, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Cluster Analysis and Unsupervised Machine Learning in Python

    Skills you'll gain: Unsupervised Learning, Data Visualization, Machine Learning Algorithms, Interactive Data Visualization, Applied Machine Learning, Machine Learning, Statistical Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Matplotlib, Algorithms, NumPy, Python Programming, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Data Ethics, Data Pipelines, Responsible AI, Machine Learning, Information Privacy, Continuous Monitoring, Data Security, Performance Tuning, Scalability

    3.8
    Rating, 3.8 out of 5 stars
    ·
    68 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Machine Learning and Emerging Technologies in Cybersecurity

    Skills you'll gain: Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Applied Machine Learning, Network Security, Machine Learning Algorithms, Machine Learning, Machine Learning Software, Unsupervised Learning, Supervised Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Deep Learning and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Computer Vision, Artificial Intelligence, Machine Learning, Linear Algebra

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Keras (Neural Network Library), Data Processing, Data Analysis, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Computer Vision, Data Visualization, Machine Learning, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • G

    Google Cloud

    Responsible AI for Developers: Fairness & Bias - 繁體中文

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Google Cloud Platform, Open Source Technology, Machine Learning, Data Validation, Continuous Monitoring

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Introduction to Machine Learning and Algorithmic Bias

    Skills you'll gain: Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning, Governance, Data Ethics, Data Processing, Risk Mitigation, Algorithms, AI Product Strategy, Business Ethics, Data Governance, Data Collection, Regulatory Requirements, Business, Analytical Skills, Business Strategy, Business Planning

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    General AI Mastery Toolbox: Master AI and Drive Success

    Skills you'll gain: OpenAI, Artificial Intelligence, AI Product Strategy, Generative AI, ChatGPT, Emerging Technologies, Responsible AI, Machine Learning, Natural Language Processing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Explainable AI: Scene Classification and GradCam Visualization : Coursera
  • Teaching Impacts of Technology: Data Collection, Use, and Privacy: University of California San Diego
  • Practical Engineering Data Mining: Techniques and Uses: Northeastern University
  • Responsible AI for Developers: Interpretability & Transparency - 繁體中文: Google Cloud
  • Cluster Analysis and Unsupervised Machine Learning in Python: Packt
  • Build and Operate Machine Learning Solutions with Azure: Microsoft
  • Machine Learning and Emerging Technologies in Cybersecurity: Johns Hopkins University
  • Foundations of Deep Learning and Neural Networks: Packt
  • Deep Learning with Keras and Practical Applications: Packt
  • Responsible AI for Developers: Fairness & Bias - 繁體中文: Google Cloud

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