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  • Foundations Of Teaching For Learning Introduction

Results for "foundations of teaching for learning: introduction"


  • Status: Free Trial
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    U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Keras (Neural Network Library), Artificial Neural Networks, Python Programming, Classification And Regression Tree (CART), Data Science, Tensorflow, Mathematical Modeling, Computer Vision

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    3.4
    Rating, 3.4 out of 5 stars
    ·
    127 reviews

    Intermediate · Specialization · 3 - 6 Months

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    J

    Johns Hopkins University

    Foundations of Healthcare Systems Engineering

    Skills you'll gain: Health Systems, Systems Engineering, Medical Devices, Health Technology, Health Informatics, Healthcare Industry Knowledge, Systems Integration, Systems Analysis, System Requirements, System Testing, Solution Design

    4.7
    Rating, 4.7 out of 5 stars
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    298 reviews

    Mixed · Course · 1 - 4 Weeks

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    D

    Deep Teaching Solutions

    Accelerate Your Learning with ChatGPT

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Creative Thinking, AI Personalization, ChatGPT, Learning Strategies, Curiosity, Critical Thinking, Lifelong Learning, Generative AI, Artificial Intelligence, Constructive Feedback, Artificial Neural Networks, Technical Communication

    4.8
    Rating, 4.8 out of 5 stars
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    539 reviews

    Beginner · Course · 1 - 4 Weeks

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    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining

    4.6
    Rating, 4.6 out of 5 stars
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    14K reviews

    Mixed · Course · 1 - 3 Months

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    I

    Intel

    Leader of Learning Experiences

    Skills you'll gain: Innovation, Lesson Planning, Education Software and Technology, Learning Management Systems, Instructional Strategies, Teamwork, Collaboration, Classroom Management, Virtual Environment, Curriculum Planning, Creative Problem-Solving, Stress Management, Technology Strategies, Digital Transformation, Emerging Technologies, Instructional Design, Motivational Skills, Organizational Skills, Communication, Artificial Intelligence

    Beginner · Specialization · 1 - 3 Months

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    G

    Google

    Introduction to AI

    Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Innovation, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.2K reviews

    Beginner · Course · 1 - 4 Weeks

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    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Business Intelligence, Content Creation, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
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    22K reviews

    Beginner · Course · 1 - 4 Weeks

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    L

    LearnQuest

    Foundations of No-Code AI for Real-World Applications

    Skills you'll gain: Data Ethics, No-Code Development, Data Cleansing, Artificial Intelligence, Data Quality, Business Solutions, Machine Learning, Business Metrics, Data Storytelling, Responsible AI, User Experience Design, Application Design, Generative AI, Business Analytics, Compliance Auditing, Regulation and Legal Compliance, Application Deployment, Data Validation, Dashboard, Automation

    Beginner · Course · 1 - 4 Weeks

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    M

    Microsoft

    Foundations of Coding Back-End

    Skills you'll gain: Back-End Web Development, Program Development, Algorithms, Integrated Development Environments, Programming Principles, Pseudocode, Debugging, Computational Thinking, Engineering Software, C# (Programming Language), Version Control, Software Engineering, GitHub, Git (Version Control System), Data Structures, Microsoft Copilot

    4.6
    Rating, 4.6 out of 5 stars
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    99 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
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    D

    Dartmouth College

    Practical Machine Learning: Foundations to Neural Networks

    Skills you'll gain: Supervised Learning, Bayesian Network, Artificial Neural Networks, Predictive Analytics, Machine Learning Methods, Statistical Modeling, Predictive Modeling, Statistical Machine Learning, Probability & Statistics, Bayesian Statistics, Deep Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Statistical Methods, Artificial Intelligence, Regression Analysis, Statistical Inference

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    E

    ESSEC Business School

    Foundations of strategic business analytics

    Skills you'll gain: Business Analytics, Forecasting, Statistical Methods, Predictive Analytics, R Programming, Information Technology, Statistical Analysis, People Analytics, Data Storytelling, Business Strategy, Data Analysis, Data Visualization, Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    660 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Introduction to ESG

    Skills you'll gain: Environmental Social And Corporate Governance (ESG), Corporate Sustainability, Sustainable Business, Compliance Management, Business Risk Management, Business Intelligence, Stakeholder Analysis, Environmental Issue, Corporate Strategy, Governance, Performance Analysis, Case Studies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    168 reviews

    Beginner · Course · 1 - 3 Months

Searches related to foundations of teaching for learning: introduction

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In summary, here are 10 of our most popular foundations of teaching for learning: introduction courses

  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
  • Foundations of Healthcare Systems Engineering: Johns Hopkins University
  • Accelerate Your Learning with ChatGPT: Deep Teaching Solutions
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Leader of Learning Experiences: Intel
  • Introduction to AI: Google
  • Introduction to Artificial Intelligence (AI): IBM
  • Foundations of No-Code AI for Real-World Applications: LearnQuest
  • Foundations of Coding Back-End: Microsoft
  • Practical Machine Learning: Foundations to Neural Networks: Dartmouth College

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