Applied Machine Learning

Applied Machine Learning is a multidisciplinary approach to constructing algorithms that can learn from and predict future data. Coursera's Applied Machine Learning catalogue provides you with the necessary knowledge and skills to effectively use machine learning in a range of practical applications. You'll learn how to process and analyze large-scale data, build predictive models using supervised and unsupervised learning techniques, and apply these models to real-world problems such as image and speech recognition, autonomous driving, and predictive analytics. Enhance your problem-solving abilities and gain a competitive edge in fields like data science, artificial intelligence, and software engineering by mastering machine learning techniques such as decision trees, neural networks, regression, and clustering.
119credentials
431courses

Explore the Applied Machine Learning Course Catalog

  • Status: Free

    Skills you'll gain: LLM Application, Large Language Modeling, Data Processing, Big Data, Applied Machine Learning, Semantic Web, Natural Language Processing

  • Status: Free

    Skills you'll gain: AWS Kinesis, Amazon Web Services, Image Analysis, Applied Machine Learning, Live Streaming, Real Time Data, Computer Vision, Internet Of Things

  • Status: Preview

    Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Natural Language Processing, Deep Learning

  • Status: Free Trial

    Skills you'll gain: Digital Transformation, Business Ethics, Predictive Modeling, Predictive Analytics, Simulation and Simulation Software, Business Transformation, Advanced Analytics, Customer experience strategy (CX), Scikit Learn (Machine Learning Library), Operations Research, Analytics, Business Technologies, Business Analytics, Data-Driven Decision-Making, Feature Engineering, Systems Thinking, Complex Problem Solving, Process Optimization, Technology Strategies, Applied Machine Learning

  • Status: Free Trial

    Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Graph Theory, Data Transformation, Development Environment, Distributed Computing, Build Tools, Regression Analysis, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: Text Mining, Data Processing, Applied Machine Learning, Pandas (Python Package), Data Transformation, NumPy, Unstructured Data, Deep Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Development Environment, Machine Learning

  • Status: New
    Status: Free

    Skills you'll gain: Prompt Engineering, Multimodal Prompts, Prompt Engineering Tools, Generative AI, Image Analysis, Computer Vision, AI Personalization, Applied Machine Learning

  • Status: New
    Status: Preview

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Machine Learning, Supervised Learning, Unsupervised Learning, Markov Model

  • Status: Preview

    Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Deep Learning, Applied Machine Learning, Natural Language Processing

  • Status: Free Trial

    Fundação Instituto de Administração

    Skills you'll gain: Predictive Analytics, Customer Relationship Management, Customer Data Management, Data-Driven Decision-Making, Applied Machine Learning, Artificial Intelligence, Machine Learning, Deep Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning

  • Status: Free Trial

    Skills you'll gain: MongoDB, NoSQL, Applied Machine Learning, Databases, Apache Cassandra, Text Mining, Image Analysis, Node.JS, Database Application, AI Personalization

  • Status: Free Trial

    Skills you'll gain: Data Access, Machine Learning, Google Cloud Platform, Data Transformation, SQL, Applied Machine Learning, Big Data, Dashboard, Database Management, Data Cleansing, Predictive Modeling, Data Warehousing, Cloud Infrastructure, Data Analysis, Data Visualization Software, Data Architecture, Data Integration, Exploratory Data Analysis, Deep Learning, Query Languages