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  • Computational Thinking For K 12 Educators Sequences And Loops

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


  • Status: Free Trial
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    J

    Johns Hopkins University

    Reliability, Cloud Computing and Machine Learning

    Skills you'll gain: Data Warehousing, Apache Hadoop, Transaction Processing, Distributed Computing, Database Systems, Relational Databases, Database Architecture and Administration, Cloud Computing, Big Data, Data Processing, Machine Learning, Scalability, Data Integrity, Disaster Recovery

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Introduction to AI and Technology in Sports

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Analytics, Artificial Intelligence, Data Analysis Software, Data Analysis, Deep Learning, Real Time Data, Machine Learning, Data Ethics, Health Technology, Responsible AI, Emerging Technologies, Internet Of Things, Large Language Modeling, Technology Solutions, Scikit Learn (Machine Learning Library), Technology Strategies, Statistical Methods, Natural Language Processing, Performance Appraisal

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Genomic Data Science and Clustering (Bioinformatics V)

    Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Molecular Biology, Machine Learning, Data Analysis Software, Exploratory Data Analysis

    4.1
    Rating, 4.1 out of 5 stars
    ·
    93 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

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

    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, NumPy, Probability & Statistics, Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Machine Learning, Interactive Data Visualization, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    17 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Practical Methodology and Ethics in AI

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Debugging, Artificial Intelligence, Machine Learning, Bayesian Statistics, Applied Machine Learning, Artificial Neural Networks, Data-Driven Decision-Making, Information Privacy, Case Studies

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Feature Engineering and Bias Detection

    Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Responsible AI, Text Mining, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Machine Learning, Natural Language Processing, Data Science, Quality Assurance, Data Validation, Machine Learning Algorithms, Data Visualization, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
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    76 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Exploring Artificial Intelligence Use Cases and Applications

    Skills you'll gain: Generative AI, Business Metrics, Machine Learning Methods, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Key Performance Indicators (KPIs), Performance Measurement, Performance Metric, AI Product Strategy, Business Solutions

    4.5
    Rating, 4.5 out of 5 stars
    ·
    201 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    Universidad Austral

    NLP System Architecture and Dev-Ops

    Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Application Lifecycle Management, Systems Architecture, Application Development, Algorithms, Software Architecture, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Software Development Life Cycle, Machine Learning

    Beginner · Course · 1 - 4 Weeks

  • 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 - 简体中文

    Skills you'll gain: Responsible AI, Data Ethics, Testability, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Machine Learning, Software Documentation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    O

    O.P. Jindal Global University

    Supervised Learning and Its Applications in Marketing

    Skills you'll gain: Marketing Analytics, Supervised Learning, Customer Retention, Applied Machine Learning, Predictive Analytics, Marketing, Scikit Learn (Machine Learning Library), Marketing Strategies, Customer Insights, Machine Learning, Predictive Modeling, Python Programming, Regression Analysis, Personalized Service, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment

    Beginner · Course · 1 - 3 Months

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

  • Reliability, Cloud Computing and Machine Learning: Johns Hopkins University
  • Introduction to AI and Technology in Sports: Real Madrid Graduate School Universidad Europea
  • Genomic Data Science and Clustering (Bioinformatics V): University of California San Diego
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Practical Methodology and Ethics in AI: Johns Hopkins University
  • AI Workflow: Feature Engineering and Bias Detection: IBM
  • Exploring Artificial Intelligence Use Cases and Applications: Amazon Web Services
  • NLP System Architecture and Dev-Ops: Universidad Austral
  • Practical Engineering Data Mining: Techniques and Uses: Northeastern University

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