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: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Machine Learning Methods, Random Forest Algorithm, Model Optimization, Model Evaluation, Python Programming, Performance Tuning

  • Google

    Skills you'll gain: Vibe coding, AI powered creativity, Debugging, Prompt Patterns, Brainstorming, Planning, Visual Storytelling, Generative AI, Data Wrangling, Data Analysis, Content Creation, Presentations, AI literacy, Responsible AI, Business Communication, Artificial Intelligence, Data Visualization, Research, Project Management, Machine Learning

  • Skills you'll gain: Generative AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Model Training, Machine Learning, Innovation, Critical Thinking

  • Skills you'll gain: Data Visualization, Prompt Engineering Tools, Prompt Patterns, Statistical Visualization, AI powered creativity, AI literacy, AI Personalization, Generative AI, Timelines, LLM Application, Agentic Workflows, Ideation, Artificial Intelligence, Business Correspondence, Complex Problem Solving, Report Writing, Solution Design, Document Management, Critical Thinking, Machine Learning

  • Skills you'll gain: Data Storytelling, Data Ethics, Data Analysis, Data-Driven Decision-Making, Analytics, Workflow Management, Data Science, Advanced Analytics, Analytical Skills, Project Management, Communication, Stakeholder Communications, Machine Learning

  • Skills you'll gain: Data Visualization, Regression Analysis, Advanced Analytics, Analytics, Statistical Analysis, Data Analysis, Applied Machine Learning, Business Analytics, Statistical Methods, Analytical Skills, Data Science, Machine Learning Methods, Artificial Intelligence, Python Programming, Machine Learning

  • From the course: Introduction to AI·Lesson: Discover how AI works

  • Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Logistic Regression, Statistical Analysis, Data Analysis, Correlation Analysis, Advanced Analytics, Predictive Modeling, Statistical Modeling, Machine Learning, Model Evaluation, Variance Analysis, Python Programming

  • From the course: The Nuts and Bolts of Machine Learning·Lesson: Get started with the course

  • From the course: The Nuts and Bolts of Machine Learning·Lesson: Get started with the course

  • From the course: The Nuts and Bolts of Machine Learning·Lesson: Apply your skills to a workplace scenario

  • From the course: The Nuts and Bolts of Machine Learning·Lesson: Review: The different types of machine learning