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: 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)

  • Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, Data Processing, Applied Machine Learning, MLOps (Machine Learning Operations), Keras (Neural Network Library), Statistical Methods, Data Transformation, Machine Learning

  • 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

  • Skills you'll gain: Applied Machine Learning, Google Cloud Platform, Cloud Applications, Image Analysis, Cloud Storage, Predictive Modeling, Data Import/Export

  • 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: 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: Preview

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

  • 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: MongoDB, NoSQL, Applied Machine Learning, Databases, Apache Cassandra, Text Mining, Image Analysis, Node.JS, Database Application, AI Personalization

  • 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: New
    Status: Preview

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, R Programming, Machine Learning, Machine Learning Algorithms, Data Analysis, Data Manipulation, Data Transformation, Probability & Statistics

  • 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