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Results for "machine learning computational thinking for k-12 educators: sequences and loops"
Coursera Project Network
Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Financial Forecasting, Business Analytics, Predictive Modeling, Deep Learning, Machine Learning, Commercial Lending, Decision Making, Mortgage Loans, Exploratory Data Analysis, Consumer Lending
- Status: Free Trial
Whizlabs
Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Forecasting, Algorithms, AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Text Mining, Supervised Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART)
- Status: Free Trial
Skills you'll gain: Random Forest Algorithm, Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning, Computer Vision, Regression Analysis, Natural Language Processing
- Status: Free Trial
Skills you'll gain: Exploratory Data Analysis, Data Collection, Data Cleansing, Data Ethics, Feature Engineering, MLOps (Machine Learning Operations), Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Statistical Analysis, Solution Design, Predictive Modeling, Generative AI, Machine Learning Algorithms
- Status: Free Trial
University of Washington
Skills you'll gain: Regression Analysis, Applied Machine Learning, Feature Engineering, Machine Learning, Image Analysis, Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Classification And Regression Tree (CART), Supervised Learning, Bayesian Statistics, Statistical Modeling, Artificial Intelligence, Deep Learning, Data Mining, Computer Vision, Statistical Machine Learning, Predictive Analytics, Text Mining, Machine Learning Algorithms
- Status: Preview
University of London
Skills you'll gain: Feature Engineering, Machine Learning, Data Processing, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection
- Status: Free Trial
Multiple educators
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, Applied Machine Learning, Financial Trading, Reinforcement Learning, Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Portfolio Management, Machine Learning Methods, Artificial Neural Networks, Securities Trading, Artificial Intelligence and Machine Learning (AI/ML), Market Data, Financial Market
- Status: Free Trial
Imperial College London
Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Data Science, Jupyter, Algorithms, Python Programming, Machine Learning
- Status: Free Trial
DeepLearning.AI
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
- Status: Preview
Sungkyunkwan University
Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability
- Status: Free Trial
Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Cloud Infrastructure, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Data Pipelines, Scikit Learn (Machine Learning Library), Scalability
- Status: Free Trial
DeepLearning.AI
Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling
In summary, here are 10 of our most popular machine learning computational thinking for k-12 educators: sequences and loops courses
- Interpretable machine learning applications: Part 3: Coursera Project Network
- ML Algorithms: Whizlabs
- Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
- Building a Machine Learning Solution: Coursera
- Machine Learning: University of Washington
- Machine Learning for All: University of London
- Machine Learning for Trading: Google Cloud
- Mathematics for Machine Learning: Linear Algebra: Imperial College London
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
- Machine Learning Basics: Sungkyunkwan University