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Results for "introduction to machine learning"
Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Artificial Neural Networks, Computer Vision, Regression Analysis
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Dimensionality Reduction, Data Cleansing, Applied Machine Learning, Data Access, Regression Analysis, Data Analysis, Machine Learning, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Probability & Statistics, Data Validation, Predictive Modeling
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming, Artificial Neural Networks
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Predictive Modeling, Classification And Regression Tree (CART), Unsupervised Learning, Program Evaluation, Reinforcement Learning
Skills you'll gain: Artificial Intelligence, Generative AI, Data Ethics, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, ChatGPT, Governance, Machine Learning, Business Transformation, Ethical Standards And Conduct, Computer Vision, Emerging Technologies, Natural Language Processing
DeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Machine Learning, Jupyter, Python Programming, Data Manipulation, Data Science
Amazon Web Services
Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Natural Language Processing, Image Analysis, Computer Vision, Cloud Services, Text Mining, Machine Learning, Virtual Environment, Data Processing
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, Data-Driven Decision-Making, Algorithms
- Status: Free
Stanford University
Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution, Correlation Analysis
University of London
Skills you'll gain: Applied Machine Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection, Development Testing
- Status: Free
Edge Impulse
Skills you'll gain: Applied Machine Learning, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Data Validation, Data Analysis, Feature Engineering
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Generative AI, Dimensionality Reduction, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Data Access, Deep Learning, Data Analysis, Regression Analysis, Machine Learning, Statistical Analysis, Statistical Inference, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library)
Searches related to introduction to machine learning
In summary, here are 10 of our most popular introduction to machine learning courses
- Introduction to Machine Learning:Â Duke University
- IBM Introduction to Machine Learning:Â IBM
- Machine Learning:Â DeepLearning.AI
- Machine Learning Introduction for Everyone:Â IBM
- Introduction to Artificial Intelligence (AI):Â IBM
- Mathematics for Machine Learning and Data Science:Â DeepLearning.AI
- Introduction to Machine Learning on AWS:Â Amazon Web Services
- Supervised Machine Learning: Regression and Classification :Â DeepLearning.AI
- Introduction to Statistics:Â Stanford University
- Machine Learning for All:Â University of London