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Results for "introduction to machine learning"
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, Jupyter, Predictive Modeling
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
Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Artificial Intelligence, Python Programming
Skills you'll gain: Artificial Intelligence, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, 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
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: 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)
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, Data-Driven Decision-Making
Amazon Web Services
Skills you'll gain: AWS SageMaker, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Natural Language Processing, Image Analysis, Applied Machine Learning, Computer Vision, Text Mining, Machine Learning, Serverless Computing, Virtual Environment, Data Processing
University of London
Skills you'll gain: Applied Machine Learning, Feature Engineering, Machine Learning, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Image Analysis, Data Collection
University of Colorado Boulder
Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Statistical Machine Learning, Random Forest Algorithm, Machine Learning, Predictive Modeling, Data Science, Statistical Visualization, Python Programming, Applied Mathematics, Exploratory Data Analysis, Statistical Programming, Regression Analysis, Statistical Modeling, Feature Engineering, Performance Tuning
- Status: Free
Edge Impulse
Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Supervised Learning, Feature Engineering
Searches related to introduction to machine learning
In summary, here are 10 of our most popular introduction to machine learning courses
- IBM Introduction to Machine Learning:Â IBM
- Introduction to Machine Learning:Â Duke University
- Machine Learning:Â DeepLearning.AI
- Introduction to Artificial Intelligence (AI):Â IBM
- Mathematics for Machine Learning and Data Science:Â DeepLearning.AI
- Machine Learning Introduction for Everyone:Â IBM
- IBM Machine Learning:Â IBM
- Supervised Machine Learning: Regression and Classification :Â DeepLearning.AI
- Introduction to Machine Learning on AWS:Â Amazon Web Services
- Machine Learning for All:Â University of London