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    Results for "foundations of teaching for learning: learners and learning"

    • Status: Free Trial
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      Packt

      Foundations of Data Science and Machine Learning with Python

      Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Data Visualization, Machine Learning Algorithms, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Python Programming, Data Science, Supervised Learning, Artificial Neural Networks, Regression Analysis, Data Structures

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
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      Packt

      Foundations of IT Fundamentals

      Skills you'll gain: Programming Principles, Information Technology, Operating Systems, Web Applications, Collaborative Software, Software Installation, Python Programming, Linux, Microsoft Windows, Computer Systems, Mac OS, Software Development, Business Technologies

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
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      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, Machine Learning Methods, Computer Vision, Artificial Intelligence, Machine Learning, Linear Algebra

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
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      Packt

      Foundations of Agile and Exam Preparation

      Skills you'll gain: Scaled Agile Framework, Agile Methodology, Kanban Principles, Sprint Planning, Project Management Institute (PMI) Methodology, Prioritization, Lean Methodologies, Waterfall Methodology

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
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      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Statistical Analysis, Artificial Neural Networks, Algorithms, Python Programming, Machine Learning, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

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

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, Mathematical Modeling, NumPy, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      884 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning and Reinforcement Learning

      Skills you'll gain: Generative AI, Reinforcement Learning, Deep Learning, Unsupervised Learning, Artificial Neural Networks, PyTorch (Machine Learning Library), Keras (Neural Network Library), Machine Learning Algorithms, Machine Learning, Tensorflow, Computer Vision, Dimensionality Reduction, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      262 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Machine Learning, Python Programming, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Preview
      Preview
      C

      Coursera Instructor Network

      GenAI for Learning and Development

      Skills you'll gain: Data Ethics, Microsoft Copilot, Generative AI, Training and Development, Instructional Design, ChatGPT, Productivity Software, Education Software and Technology, Training Programs, Artificial Intelligence, Developing Training Materials, Learning Management Systems, Innovation, Operational Efficiency, Business Ethics, Ethical Standards And Conduct, Automation

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Illinois Urbana-Champaign

      e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age

      Skills you'll gain: Differentiated Instruction, Collaborative Software, Education Software and Technology, Pedagogy, Learning Management Systems, Digital Transformation, Emerging Technologies, Innovation, Multimedia, Digital Communications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Mathematical Modeling, Machine Learning, Machine Learning Methods, Jupyter

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 1 - 3 Months

    1…91011…834

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

    • Foundations of Data Science and Machine Learning with Python: Packt
    • Foundations of IT Fundamentals: Packt
    • Foundations of Deep Learning and Neural Networks: Packt
    • Foundations of Agile and Exam Preparation: Packt
    • Mathematics for Machine Learning: Imperial College London
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
    • Calculus for Machine Learning and Data Science: DeepLearning.AI
    • Deep Learning and Reinforcement Learning: IBM
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • GenAI for Learning and Development: Coursera Instructor Network

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