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.
169credentials
1online degree
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Find the best Machine Learning course for your goals

  • Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence, Interoperability, Testability, Data Integrity, Data Governance, Maintainability, Machine Learning

  • Skills you'll gain: Responsible AI, Artificial Intelligence, Data Ethics, Testability, Software Visualization, Machine Learning

  • Status: New

    Skills you'll gain: MLOps (Machine Learning Operations), Jupyter, Google Cloud Platform, Machine Learning, Virtual Machines, Development Environment, Exploratory Data Analysis

  • Skills you'll gain: Threat Modeling, Threat Management, Security Strategy, Responsible AI, Data Security, Cloud Security, AI Product Strategy, Information Systems Security, Application Security, Data Ethics, Security Controls, Infrastructure Security, Artificial Intelligence, Security Engineering, Cyber Risk, Generative AI, Machine Learning

  • Skills you'll gain: Responsible AI, Information Privacy, Data Ethics, Personally Identifiable Information, Cloud Security, Google Cloud Platform, Artificial Intelligence, Generative AI, Safety and Security, Encryption, Machine Learning, Key Management, Identity and Access Management

  • Skills you'll gain: Natural Language Processing, Field-Programmable Gate Array (FPGA), Technical Communication, Statistical Machine Learning, Machine Learning, Embedded Systems, Embedded Software, Machine Learning Algorithms, Distributed Computing, Generative AI, Image Analysis, Hardware Design, Computer Vision, Electrical and Computer Engineering, Engineering Analysis, Student Support and Services, Student Services, Text Mining, Digital Communications, Electrical Engineering