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.
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Explore the Applied Machine Learning Course Catalog

  • Status: Free

    Skills you'll gain: Business Leadership, Strategic Leadership, Strategic Decision-Making, Business Transformation, Applied Machine Learning, Business Strategy, Data-Driven Decision-Making, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Technology Roadmaps

  • Status: Preview

    Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

  • Status: Free

    Skills you'll gain: Tidyverse (R Package), Data Visualization, Clinical Data Management, Data Manipulation, Predictive Modeling, R Programming, Data Processing, Data Cleansing, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Statistical Modeling, Performance Tuning, Hospital Medicine

  • Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Applied Machine Learning, Data Manipulation, Data Analysis, Random Forest Algorithm, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

  • Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation

  • Skills you'll gain: Unsupervised Learning, Data Visualization, Machine Learning Algorithms, Interactive Data Visualization, Applied Machine Learning, Machine Learning, Statistical Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Matplotlib, Algorithms, NumPy, Python Programming, Development Environment

  • Status: Free Trial

    Skills you'll gain: Artificial Neural Networks, Performance Tuning, Tensorflow, Deep Learning, Applied Machine Learning, Feature Engineering, Google Cloud Platform, Supervised Learning, Regression Analysis, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Tensorflow, Deep Learning, Dimensionality Reduction, Regression Analysis, Supervised Learning, Google Cloud Platform, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Big Data, Apache Hadoop, Serverless Computing, Applied Machine Learning, Apache Spark, Looker (Software), Cloud Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, SQL, Data Transformation, Artificial Intelligence, Scalability, Performance Tuning

  • Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Pandas (Python Package), Natural Language Processing, Predictive Modeling, Machine Learning, Data Processing, Unstructured Data, Data Analysis, Machine Learning Algorithms, Data Manipulation, Python Programming, Computer Science

  • Status: Preview

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Application Lifecycle Management, DevOps, Applied Machine Learning, Continuous Deployment, Machine Learning Methods, Continuous Integration, Automation

  • Skills you'll gain: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling

What brings you to Coursera today?

Leading partners

  • Google Cloud
  • DeepLearning.AI
  • Packt
  • IBM
  • EDUCBA
  • Johns Hopkins University
  • University of Colorado Boulder
  • Microsoft