Results for "using machine learning in science and engineering"
Status: Free TrialSkills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms
Status: NewStatus: Free TrialSkills you'll gain: Responsible AI, Exploratory Data Analysis, Data Storytelling, Dashboard, Data Presentation, Model Evaluation, Data Literacy, No-Code Development, Business Analytics, Data Science, Business Analysis, Model Deployment, Applied Machine Learning, Data Ethics, Data Capture, MLOps (Machine Learning Operations), Machine Learning, Data Analysis, Predictive Modeling, Data Visualization
Status: Free TrialDeepLearning.AI
Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Machine Learning Algorithms, Data Preprocessing, Machine Learning, Machine Learning Methods
Status: NewSkills you'll gain: Model Evaluation, Matplotlib, Applied Machine Learning, Data Visualization, Supervised Learning, Statistics, Data Preprocessing
Status: Free TrialImperial College London
Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Data Preprocessing, Unsupervised Learning, Feature Engineering, Machine Learning Algorithms, Jupyter, Advanced Mathematics, Statistics, Artificial Neural Networks, Algorithms, Mathematical Modeling, Python Programming, Derivatives
Status: Free TrialMultiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing
What brings you to Coursera today?
Status: Free TrialJohns Hopkins University
Skills you'll gain: Computer Vision, Model Evaluation, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Data Preprocessing, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Convolutional Neural Networks, Regression Analysis, Data Processing, Machine Learning, Predictive Modeling, Data Mining, Deep Learning, Artificial Neural Networks
Status: NewStatus: Free TrialSkills you'll gain: Data Preprocessing, Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), JUnit, Decision Tree Learning, Build Tools, Performance Tuning, Classification And Regression Tree (CART), Java, Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Machine Learning, Object Oriented Programming (OOP), Apache
Status: Free TrialSkills you'll gain: Unsupervised Learning, Supervised Learning, Model Evaluation, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning, Dimensionality Reduction, Decision Tree Learning, Python Programming, Logistic Regression, Classification Algorithms, Feature Engineering
Status: PreviewSkills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning, Supervised Learning, Applied Machine Learning, Data Science, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning
Status: Free TrialSkills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Advanced Analytics, Analytics, Statistical Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Decision Tree Learning, Verification And Validation, Python Programming, Classification Algorithms, Performance Tuning
Status: Free TrialUniversity of Michigan
Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Precision Medicine, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, Transfer Learning, Biomedical Engineering, Control Systems, Energy and Utilities, Technical Design, Robotics, Deep Learning, Computer Vision, Medical Imaging, Reinforcement Learning, Electric Power Systems, Bioinformatics
In summary, here are 10 of our most popular using machine learning in science and engineering courses
- IBM Introduction to Machine Learning: IBM
- No-Code Machine Learning and Data Science for Everyone: LearnQuest
- Mathematics for Machine Learning and Data Science: DeepLearning.AI
- AI Engineer Explorer Course: Packt
- Mathematics for Machine Learning: Imperial College London
- Machine Learning: DeepLearning.AI
- Applied Machine Learning: Johns Hopkins University
- Level Up: Java-Powered Machine Learning: Coursera
- Machine Learning with Python: IBM
- Machine Learning Introduction for Everyone: IBM
