Artificial Intelligence and Machine Learning (AI/ML)

Artificial Intelligence and Machine Learning (AI/ML) refers to the science of making computers mimic human intelligence processes, learning from experiences, adjusting to new inputs, and performing human-like tasks. Coursera's AI/ML catalogue equips you with comprehensive knowledge on these rapidly growing fields. You'll learn about the foundational concepts of AI/ML, including the design of intelligent agents, problem-solving, and learning from observation. The catalogue also delves into advanced topics such as neural networks, deep learning, natural language processing, and reinforcement learning. By mastering these AI/ML concepts, you'll be prepared to develop and deploy AI systems, design intelligent agents, and create machine learning models for various applications in the tech industry.
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Results for "artificial intelligence and machine learning (ai/ml)"

  • Skills you'll gain: Google Gemini, Generative AI, Customer Relationship Management, Google Cloud Platform, Business Workflow Analysis, Big Data, Artificial Intelligence and Machine Learning (AI/ML), SQL, Predictive Analytics, Python Programming, Natural Language Processing

  • Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, Big Data, Customer Relationship Management, Applied Machine Learning, SQL, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis

  • Skills you'll gain: Semantic Web, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, Generative AI, Text Mining, Large Language Modeling, Natural Language Processing, Google Cloud Platform, Responsible AI, Scalability, Algorithms

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Data Ethics, Google Cloud Platform, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Data Quality

  • Skills you'll gain: Large Language Modeling, Generative AI, Semantic Web, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Google Cloud Platform, Algorithms, Scalability

  • Status: New

    Skills you'll gain: Generative AI, Large Language Modeling, Google Cloud Platform, Responsible AI, Unstructured Data, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Business Solutions, Data Access, Data Quality

  • Skills you'll gain: Google Gemini, Generative AI, Google Cloud Platform, SQL, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Predictive Modeling, Customer Relationship Management

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, MLOps (Machine Learning Operations)

  • Skills you'll gain: Google Gemini, Generative AI, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Jupyter, Google Cloud Platform, SQL, Customer Relationship Management

  • Skills you'll gain: Data Ethics, Statistical Hypothesis Testing, Statistical Machine Learning, Regression Analysis, Exploratory Data Analysis, Bayesian Statistics, Statistical Methods, Statistical Visualization, Classification And Regression Tree (CART), Network Analysis, Planning, Data Visualization, Data Manipulation, Probability, Data Analysis, Statistical Inference, Statistical Modeling, Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Object Oriented Programming (OOP)

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