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  • Foundations Of Teaching For Learning Introduction

Results for "foundations of teaching for learning: introduction"


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    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Market Trend, Artificial Intelligence and Machine Learning (AI/ML), Financial Market, Artificial Neural Networks

    3.8
    Rating, 3.8 out of 5 stars
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    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
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    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Data Science, Algorithms, Data Manipulation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    12K reviews

    Beginner · Course · 1 - 3 Months

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    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, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

    4.6
    Rating, 4.6 out of 5 stars
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    3K reviews

    Intermediate · Specialization · 1 - 3 Months

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    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Tensorflow, Machine Learning Methods, Image Analysis, Computer Vision, Regression Analysis, Network Architecture, Network Model, Natural Language Processing, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
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    Relay Graduate School of Education

    Teaching Character and Creating Positive Classrooms

    Skills you'll gain: Student Engagement, Positivity, Teaching, Education and Training, Classroom Management, Pedagogy, Curriculum Planning, Lesson Planning, Personal Attributes, Working With Children, Course Development, Growth Mindedness, Childhood Education and Development, Optimism, Research, Empowerment, Self-Awareness, Personal Development, Persistence, Rapport Building

    4.8
    Rating, 4.8 out of 5 stars
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    959 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    2.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of London

    Machine Learning for All

    Skills you'll gain: Machine Learning, Data Processing, Artificial Intelligence, Data Analysis, Machine Learning Algorithms, Computer Vision, Data Collection, Software Testing

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    3.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
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    Microsoft

    SQL Foundations

    Skills you'll gain: Microsoft SQL Servers, SQL, Transact-SQL, Databases, Relational Databases, Data Transformation, Data Manipulation, Query Languages, Generative AI, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    114 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
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    Imperial College London

    Introduction to Python for Researchers

    Skills you'll gain: Programming Principles, Program Development, Microsoft Visual Studio, Computer Programming, Integrated Development Environments, Python Programming, Debugging, Development Environment, Data Structures

    4.9
    Rating, 4.9 out of 5 stars
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    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    University of Colorado Boulder

    Probability Foundations for Data Science and AI

    Skills you'll gain: Probability, Probability & Statistics, Probability Distribution, Bayesian Statistics, Statistics, Data Analysis, Statistical Analysis, Artificial Intelligence

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    266 reviews

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Learning TensorFlow: the Hello World of Machine Learning

    Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Deep Learning, Cloud Computing, Development Environment

    4
    Rating, 4 out of 5 stars
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    20 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

    4.6
    Rating, 4.6 out of 5 stars
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    647 reviews

    Intermediate · Course · 1 - 4 Weeks

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 for Trading: Google Cloud
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Mathematics for Machine Learning and Data Science: DeepLearning.AI
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Teaching Character and Creating Positive Classrooms : Relay Graduate School of Education
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Machine Learning for All: University of London
  • SQL Foundations: Microsoft
  • Introduction to Python for Researchers: Imperial College London
  • Probability Foundations for Data Science and AI: University of Colorado Boulder

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