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Results for "using+machine+learning+in+engineering"
Skills you'll gain: Generative AI, Natural Language Processing, PyTorch (Machine Learning Library), ChatGPT, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Text Mining, Application Development, Feature Engineering, Artificial Intelligence, Document Management, Machine Learning Methods, Jupyter, Data Processing, Tensorflow, Applied Machine Learning, Application Frameworks, Performance Tuning
Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Data Pipelines, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Big Data, Machine Learning, Jupyter, Natural Language Processing
DeepLearning.AI
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Algorithms, Regression Analysis, Performance Tuning
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
DeepLearning.AI
Skills you'll gain: Unsupervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Intelligence, Reinforcement Learning, Artificial Neural Networks, Deep Learning, Anomaly Detection, Dimensionality Reduction, Algorithms, 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
University of Washington
Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming
Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Databricks, Cloud Computing, Applied Machine Learning, Data Ethics, Data Pipelines, Machine Learning, Information Privacy, Tensorflow, Performance Tuning
- 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
Alberta Machine Intelligence Institute
Skills you'll gain: Supervised Learning, Feature Engineering, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Data Quality, Data Processing, MLOps (Machine Learning Operations), Jupyter, Statistical Machine Learning, Machine Learning Methods, Data Validation, Machine Learning, Decision Tree Learning, Business Operations, Data Cleansing, Ethical Standards And Conduct, Classification And Regression Tree (CART), Data Transformation, Operational Analysis
- Status: Free
Skills you'll gain: Apache Spark, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis
Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Machine Learning, Supervised Learning, Tensorflow, Artificial Neural Networks
In summary, here are 10 of our most popular using+machine+learning+in+engineering courses
- Generative AI Engineering with LLMs: IBM
- Smart Analytics, Machine Learning, and AI on Google Cloud: Google Cloud
- Advanced Learning Algorithms: DeepLearning.AI
- Introduction to Machine Learning: Duke University
- Unsupervised Learning, Recommenders, Reinforcement Learning: DeepLearning.AI
- IBM Introduction to Machine Learning: IBM
- Machine Learning Foundations: A Case Study Approach: University of Washington
- Build and Operate Machine Learning Solutions with Azure: Microsoft
- Introduction to Embedded Machine Learning: Edge Impulse
- Machine Learning: Algorithms in the Real World: Alberta Machine Intelligence Institute