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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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    The University of Notre Dame

    Ethics of Technology

    Skills you'll gain: Data Ethics, Analytics, Responsible AI, Big Data, Data Analysis, Ethical Standards And Conduct, Machine Learning, Business Ethics, Artificial Intelligence and Machine Learning (AI/ML), Information Privacy, Artificial Intelligence, Technology Strategies, Law, Regulation, and Compliance, Predictive Analytics, Social Justice, Case Studies

    4.6
    Rating, 4.6 out of 5 stars
    ·
    42 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Deep Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning, Supervised Learning, Machine Learning Algorithms, Data Processing, Linear Algebra, Network Architecture

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    P

    Packt

    Deep Learning with TensorFlow

    Skills you'll gain: Tensorflow, Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Time Series Analysis and Forecasting, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Computer Vision, Forecasting, Classification And Regression Tree (CART), Supervised Learning, Machine Learning, Text Mining, Predictive Analytics, NumPy, Regression Analysis, Network Architecture, Data Processing, Data Science

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Data Ethics, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Applied Machine Learning, Predictive Modeling, Image Analysis, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
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    22 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Machine Learning: an overview

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Reinforcement Learning, Dimensionality Reduction, Algorithms, Data Mining, Classification And Regression Tree (CART), Regression Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    193 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Gemini in BigQuery

    Skills you'll gain: Google Gemini, Generative AI, Predictive Modeling, Applied Machine Learning, Big Data, Google Cloud Platform, Data Analysis, Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, SQL, LLM Application, Data Processing, Responsible AI, Python Programming, Data Cleansing, Customer Relationship Management, Data Visualization Software, Machine Learning, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
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    6 reviews

    Beginner · Specialization · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Random Forest Algorithm, Data Processing, Machine Learning Algorithms, Predictive Modeling, Regression Analysis, Feature Engineering, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
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    24 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
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    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Amazon Elastic Compute Cloud, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
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    E

    EDUCBA

    SPSS: Apply & Evaluate Cluster Analysis Techniques

    Skills you'll gain: Unsupervised Learning, SPSS, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Analysis, Data Cleansing, Data Analysis, Statistical Methods, Data Visualization Software

    4.9
    Rating, 4.9 out of 5 stars
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    15 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    Northeastern University

    Machine Learning in Healthcare: Fundamentals & Applications

    Skills you'll gain: Data Mining, Health Informatics, Big Data, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Intelligence, Random Forest Algorithm, Clinical Practices, Responsible AI, Deep Learning, Health Care, Unsupervised Learning, Algorithms, Data Cleansing, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
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    Coursera

    Data Science Coding Challenge: Loan Default Prediction

    Skills you'll gain: Applied Machine Learning, Jupyter, Data Processing, Predictive Modeling, Machine Learning, Predictive Analytics, Data Manipulation, Data Science, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    106 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Structurer des projets d’apprentissage automatique

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Debugging, Deep Learning, Machine Learning, MLOps (Machine Learning Operations), Data Science, Artificial Neural Networks, Test Case, Analysis, Algorithms, Performance Testing, Performance Tuning

    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

  • Ethics of Technology: The University of Notre Dame
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • Deep Learning with TensorFlow: Packt
  • Explainable Machine Learning (XAI): Duke University
  • Machine Learning: an overview: Politecnico di Milano
  • Gemini in BigQuery: Google Cloud
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite: Whizlabs
  • SPSS: Apply & Evaluate Cluster Analysis Techniques: EDUCBA
  • Machine Learning in Healthcare: Fundamentals & Applications: Northeastern University

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