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Explore the Applied Machine Learning Course Catalog
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University of Pittsburgh
Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms
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Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation
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DeepLearning.AI
Skills you'll gain: Tensorflow, Application Deployment, MLOps (Machine Learning Operations), Deep Learning, Applied Machine Learning, Machine Learning, Distributed Computing, Information Privacy, Web Servers, Application Programming Interface (API), Data Processing, Data Security, Data Visualization
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Stanford University
Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Unstructured Data, Natural Language Processing, Algorithms, Computational Thinking, Test Data
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Skills you'll gain: PySpark, Apache Spark, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Statistical Machine Learning, Unsupervised Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Machine Learning Algorithms, Supervised Learning, Data Pipelines
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Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Machine Learning, Data Analysis, Exploratory Data Analysis, Programming Principles, Data Manipulation
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Alberta Machine Intelligence Institute
Skills you'll gain: Data Ethics, Machine Learning, Applied Machine Learning, Data Collection, Business Process, Data Modeling, Business Requirements, Supervised Learning, Machine Learning Algorithms, Data Quality, Unsupervised Learning, Performance Metric
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DeepLearning.AI
Skills you'll gain: iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Machine Learning Methods, Computer Vision, Machine Learning
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Simplilearn
Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Applied Machine Learning, Analytics, Data Science
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Google Cloud
Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Google Cloud Platform, Feature Engineering, Small Data, Cloud API
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Stanford University
Skills you'll gain: Bayesian Network, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Machine Learning Algorithms, Computational Thinking
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Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Feature Engineering, Classification And Regression Tree (CART), Performance Tuning, Dimensionality Reduction, Algorithms
Applied Machine Learning learners also search
In summary, here are 10 of our most popular applied machine learning courses
- Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
- Python: Logistic Regression & Supervised ML: EDUCBA
- Advanced Deployment Scenarios with TensorFlow: DeepLearning.AI
- Probabilistic Graphical Models: Stanford University
- PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
- Data Science Fundamentals Part 1: Unit 1: Pearson
- 실용 머신 러닝 소개: Alberta Machine Intelligence Institute
- Device-based Models with TensorFlow Lite: DeepLearning.AI
- Linear Algebra for ML and Analytics Training: Simplilearn
- Computer Vision Fundamentals with Google Cloud: Google Cloud