Machine Learning

Machine Learning is a branch of artificial intelligence that automates analytical model building, enabling systems to learn and improve from experience without being explicitly programmed. Coursera's Machine Learning catalogue empowers you to understand, design, and apply powerful algorithms and statistical models to make predictions or decisions without human intervention. You'll learn about various forms of learning, such as supervised, unsupervised, and reinforcement learning, along with techniques such as regression, classification, clustering, and deep learning. Furthermore, you'll gain insights into the ethical and societal considerations of Machine Learning and its applications across various industries like healthcare, finance, and entertainment.

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Results for "Machine Learning"

  • Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Data Engineering, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

  • Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

  • University of Michigan

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks

  • Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Model Training, Cloud Deployment, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

  • Skills you'll gain: Linear Algebra, Applied Mathematics, Data Science, Data Manipulation, Data Transformation, Machine Learning

  • Skills you'll gain: Machine Learning Methods, Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Artificial Neural Networks, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Deep Learning, Health Policy, Artificial Intelligence

  • Skills you'll gain: Decision Tree Learning, Predictive Modeling, Model Evaluation, Random Forest Algorithm, Applied Machine Learning, Predictive Analytics, Machine Learning Methods, Unsupervised Learning, Machine Learning Algorithms, Machine Learning, Data Analysis, Exploratory Data Analysis, Regression Analysis, Python Programming

  • Skills you'll gain: Fraud detection, Threat Detection, Malware Protection, Cyber Security Assessment, AI Security, Network Security, Machine Learning, Machine Learning Algorithms, Security Management, Data Preprocessing, Unsupervised Learning, Feature Engineering, Deep Learning, Classification Algorithms, Analytical Skills

  • Sungkyunkwan University

    Skills you'll gain: Machine Learning Algorithms, Machine Learning Methods, Machine Learning, Python Programming, Model Evaluation, Scikit Learn (Machine Learning Library), Logistic Regression, Regression Analysis

  • Skills you'll gain: Model Training, Data Import/Export, Model Evaluation, No-Code Development, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Data Manipulation, Machine Learning Software, Data Preprocessing, Data Analysis, Machine Learning, Predictive Analytics

  • Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Model Deployment, Data Preprocessing, Applied Machine Learning, Project Management, Machine Learning, Data Cleansing, Data Pipelines, Systems Design, Data Collection, Data Science, Systems Architecture, System Monitoring

  • Politecnico di Milano

    Skills you'll gain: Machine Learning Methods, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Dimensionality Reduction, Model Evaluation, Classification Algorithms, Algorithms