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

    • Status: Free Trial
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      N

      New York University

      Machine Learning and Reinforcement Learning in Finance

      Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Deep Learning, Market Liquidity, Tensorflow

      3.7
      Rating, 3.7 out of 5 stars
      ·
      815 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning and NLP Basics

      Skills you'll gain: Deep Learning, Natural Language Processing, Text Mining, Tensorflow, Classification And Regression Tree (CART), Machine Learning, Predictive Modeling, Supervised Learning, Image Analysis, Artificial Neural Networks, Artificial Intelligence, Data Processing, Unstructured Data

      3.3
      Rating, 3.3 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
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      J

      Johns Hopkins University

      Practical Machine Learning

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

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Machine Learning Foundations for Product Managers

      Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      611 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Commonwealth Education Trust

      Foundations of Teaching for Learning: Curriculum

      Skills you'll gain: Curriculum Development, Teaching, Education and Training, Instructional and Curriculum Design, Course Development, Instructional Strategies, Pedagogy, Student-Centred Learning, Collaboration, Learning Theory, Planning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      505 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Java for Beginners: Loops & Arrays

      Skills you'll gain: Java, Java Programming, Object Oriented Programming (OOP), Software Engineering, Microsoft Visual Studio, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Fundamentals of Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Unsupervised Machine Learning

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Feature Engineering, Machine Learning, Statistical Machine Learning, Text Mining, Data Mining, Data Science, Big Data, NumPy, Data Analysis, Algorithms, Natural Language Processing, Linear Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      335 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Fundamentals of Machine Learning for Healthcare

      Skills you'll gain: Healthcare Ethics, Data Ethics, Statistical Machine Learning, Applied Machine Learning, Machine Learning, Artificial Neural Networks, Healthcare Industry Knowledge, Health Care, Health Technology, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Reinforcement Learning, Health Informatics, Deep Learning, Data Processing, Image Analysis, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      582 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Machine Learning Capstone

      Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Presentation, Technical Communication, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      156 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Machine Learning and its Applications

      Skills you'll gain:

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Machine Learning for Accounting with Python

      Skills you'll gain: Machine Learning Algorithms, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Supervised Learning, Predictive Modeling, Python Programming, Regression Analysis, Feature Engineering, Jupyter, Pandas (Python Package), Natural Language Processing, Statistical Analysis, Performance Metric

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      43 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Machine Learning and Reinforcement Learning in Finance: New York University
    • Machine Learning and NLP Basics: Edureka
    • Practical Machine Learning: Johns Hopkins University
    • Machine Learning Foundations for Product Managers: Duke University
    • Foundations of Teaching for Learning: Curriculum: Commonwealth Education Trust
    • Java for Beginners: Loops & Arrays: Coursera Project Network
    • Fundamentals of Reinforcement Learning: University of Alberta
    • Unsupervised Machine Learning: IBM
    • Fundamentals of Machine Learning for Healthcare: Stanford University
    • Machine Learning Capstone: IBM

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