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Results for "machine learning computational thinking for k-12 educators: sequences and loops"
- Status: Free Trial
New York University
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
- Status: Free Trial
Edureka
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
- Status: Free Trial
Johns Hopkins University
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
- Status: Free Trial
Duke University
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
Commonwealth Education Trust
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
Coursera Project Network
Skills you'll gain: Java, Java Programming, Object Oriented Programming (OOP), Software Engineering, Microsoft Visual Studio, Algorithms
- Status: Free Trial
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution
- Status: Free Trial
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
- Status: Free Trial
Stanford University
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
- Status: Free Trial
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
- Status: Free Trial
University of Glasgow
Skills you'll gain:
- Status: Free Trial
University of Illinois Urbana-Champaign
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
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