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.
118credentials
1online degree
433courses

Explore the Applied Machine Learning Course Catalog

  • 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: Free

    Skills you'll gain: LLM Application, Large Language Modeling, Database Systems, Databases, Algorithms, Semantic Web, Data Mining, Prompt Engineering, Applied Machine Learning, Unsupervised Learning

  • Status: New
    Status: Preview

    Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Applied Machine Learning, Analytics, Data Science

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Dataflow, Real Time Data, Data Pipelines, Data Warehousing, Data Lakes, Dashboard, Data Processing, Tensorflow, Cloud Engineering, Data Infrastructure, Apache Spark, Big Data, Extract, Transform, Load, Applied Machine Learning, Query Languages, Cloud Storage, Scripting Languages, PySpark, Unstructured Data

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Keras (Neural Network Library), Tensorflow, Large Language Modeling, Deep Learning, Applied Machine Learning, Machine Learning

  • Status: Preview

    Skills you'll gain: Marketing Effectiveness, Case Studies, Applied Machine Learning, Emerging Technologies, Predictive Modeling, Exploratory Data Analysis

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, ChatGPT, OpenAI, Generative AI Agents, Prompt Patterns, Applied Machine Learning, Prompt Engineering, Deep Learning, Application Programming Interface (API), Natural Language Processing, Machine Learning Algorithms

  • Status: New
    Status: Free Trial

    Skills you'll gain: Feature Engineering, AI Personalization, Data Processing, Applied Machine Learning, Data Manipulation, Data Science, Machine Learning, Data Cleansing, Scalability, Machine Learning Algorithms, Python Programming, Data Transformation, Pandas (Python Package), Predictive Analytics, Predictive Modeling, Text Mining, Development Environment, Unstructured Data, Scikit Learn (Machine Learning Library), Data Integration

  • Status: Free Trial

    Skills you'll gain: Apache Hadoop, Real Time Data, Apache Spark, Apache Kafka, Data Integration, Apache Hive, Data Pipelines, Big Data, Applied Machine Learning, System Design and Implementation, Distributed Computing, Query Languages, Data Processing, NoSQL, MongoDB, SQL, Scalability

  • Status: Free Trial

    Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning

  • Status: Free

    Skills you'll gain: Analytics, R Programming, Google Sheets, Applied Machine Learning, Health Informatics, Predictive Modeling, Automation, Data Manipulation, GitHub, Gmail, Git (Version Control System)

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Processing, Scalability, Data Manipulation, Pandas (Python Package), Applied Machine Learning, Predictive Modeling, Python Programming, Machine Learning Algorithms, NumPy, Statistical Methods, Exploratory Data Analysis