Machine Learning
description:A Machine Learning Engineer builds and optimizes algorithms that enable computers to learn from data, using large datasets and neural networks.
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This role has a £54,991 median salary ¹.
description:A Data Scientist analyzes large datasets to uncover insights, using statistics, machine learning, and visualization to inform business strategies.
This role has a £54,991 median salary ¹.
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Status: Free TrialUniversity of London
Status: PreviewDeepLearning.AI
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Status: Free TrialCoursera
Status: PreviewO.P. Jindal Global University
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Find the best Machine Learning course for your goals
Status: Free TrialSkills you'll gain: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
Status: PreviewUniversity of London
Skills you'll gain: Applied Machine Learning, Feature Engineering, Machine Learning, Data Processing, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Deep Learning, Data Collection
DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Continuous Monitoring, Data-Driven Decision-Making, Data Pipelines
Status: FreeAmazon Web Services
Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Machine Learning, Applied Machine Learning, Predictive Modeling
Status: Free TrialDeepLearning.AI
Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming
Status: Free TrialUniversity of Michigan
Skills you'll gain: Feature Engineering, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Decision Tree Learning, Unsupervised Learning, Python Programming, Dimensionality Reduction, Random Forest Algorithm, Regression Analysis
Status: Free TrialDeepLearning.AI
Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Generative AI, Supervised Learning, Large Language Modeling, Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making, Machine Learning Algorithms, Linear Algebra
Status: NewStatus: PreviewO.P. Jindal Global University
Skills you'll gain: Supervised Learning, Tensorflow, Image Analysis, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Deep Learning, Unstructured Data, NumPy, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Performance Tuning
Status: PreviewSkills you'll gain: Predictive Modeling, Machine Learning, Supervised Learning, Data Science, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Unsupervised Learning, Reinforcement Learning, Performance Metric
Status: Free TrialStatus: AI skillsUniversity of Pennsylvania
Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms
Status: NewStatus: Free TrialSkills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture
Coursera Project Network
Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment
