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.
120credentials
432courses

Explore the Applied Machine Learning Course Catalog

  • Status: Free Trial

    Skills you'll gain: Generative Model Architectures, Generative AI, Applied Machine Learning, Statistical Modeling, Prompt Engineering, Large Language Modeling, Strategic Decision-Making, Machine Learning, Systems Integration, Software Development, Scalability, Innovation

  • Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Probability & Statistics, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis

  • Skills you'll gain: MLOps (Machine Learning Operations), Time Series Analysis and Forecasting, Google Cloud Platform, Forecasting, Feature Engineering, Data Transformation, Predictive Modeling, Applied Machine Learning, Data Pipelines, Deep Learning

  • Status: Preview

    Skills you'll gain: Performance Tuning, Applied Machine Learning, Natural Language Processing, Artificial Neural Networks, Deep Learning

  • 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: 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: 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: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Applied Machine Learning, Google Cloud Platform, Image Analysis, Unsupervised Learning, Unstructured Data

  • Skills you'll gain: Google Cloud Platform, Text Mining, Applied Machine Learning, Cloud API, Unstructured Data, Cloud Computing

  • Skills you'll gain: Customer Analysis, Predictive Modeling, Predictive Analytics, Analytics, E-Commerce, Big Data, Google Cloud Platform, Applied Machine Learning, Machine Learning Methods, Data Analysis, Statistical Modeling

  • Status: New
    Status: Free Trial

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis