Filter by
The language used throughout the course, in both instruction and assessments.
Results for "using+machine+learning+in+engineering"
Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Regression Analysis, Predictive Modeling, Machine Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Supervised Learning
New York Institute of Finance
Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Market Data, Financial Market, Time Series Analysis and Forecasting
Duke University
Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Artificial Neural Networks, Computer Vision, Data Processing, Personally Identifiable Information
Stanford University
Skills you'll gain: Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Artificial Neural Networks, Medical Science and Research, Health Care, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Supervised Learning, Deep Learning, Predictive Modeling, Health Care Procedure and Regulation, Data Processing, Image Analysis, Natural Language Processing
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Applied Machine Learning, Deep Learning, Supervised Learning, IBM Cloud, Classification And Regression Tree (CART), Predictive Modeling, Unsupervised Learning, Program Evaluation, Reinforcement Learning
Skills you'll gain: Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Data Ethics, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Application Deployment, Data Pipelines
DeepLearning.AI
Skills you'll gain: Applied Mathematics, Calculus, NumPy, Machine Learning, Jupyter, Python Programming, Artificial Neural Networks, Visualization (Computer Graphics), Deep Learning, Derivatives
MathWorks
Skills you'll gain: Computer Vision, Image Analysis, Matlab, Applied Machine Learning, Machine Learning, Supervised Learning, Visualization (Computer Graphics), Data Cleansing, Performance Tuning
University of California San Diego
Skills you'll gain: Exploratory Data Analysis, Apache Spark, Big Data, Regression Analysis, Data Mining, Applied Machine Learning, Statistical Analysis, Machine Learning, Data Analysis, Data Transformation, Predictive Modeling, Data Cleansing, Supervised Learning
Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Data Analysis, Applied Machine Learning, Statistical Analysis, Data Presentation, Machine Learning, Scikit Learn (Machine Learning Library), Python Programming, Tensorflow, Regression Analysis, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks, Web Applications
Skills you'll gain: Predictive Modeling, Data Ethics, Predictive Analytics, Machine Learning, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, Machine Learning Software, Business Ethics, Decision Tree Learning, Leadership and Management, Artificial Intelligence, Business Analytics, Machine Learning Algorithms, Data Processing, Business Leadership, Feature Engineering
Skills you'll gain: Supervised Learning, Applied Machine Learning, Matlab, Regression Analysis, Predictive Modeling, Classification And Regression Tree (CART), Machine Learning, Predictive Analytics, Feature Engineering, Statistical Modeling, Data Cleansing, Sampling (Statistics)
In summary, here are 10 of our most popular using+machine+learning+in+engineering courses
- Microsoft Azure Machine Learning: Microsoft
- Using Machine Learning in Trading and Finance: New York Institute of Finance
- AI Product Management: Duke University
- Fundamentals of Machine Learning for Healthcare: Stanford University
- Machine Learning Introduction for Everyone: IBM
- Microsoft Azure Machine Learning for Data Scientists: Microsoft
- Calculus for Machine Learning and Data Science: DeepLearning.AI
- Machine Learning for Computer Vision: MathWorks
- Machine Learning With Big Data: University of California San Diego
- Machine Learning Capstone: IBM