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
1online degree
438courses

Explore the Applied Machine Learning Course Catalog

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

  • 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

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, PySpark, Data Import/Export, Apache Spark, Dashboard, Cloud Services, Applied Machine Learning, Apache Hive, Application Programming Interface (API), Jupyter, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Query Languages, Apache Hadoop, Serverless Computing, Application Deployment, Looker (Software), Cloud Computing, Scalability, SQL

  • Status: Preview

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Supervised Learning, Applied Machine Learning, Marketing, Statistical Analysis

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Applied Machine Learning, Data Pipelines, Big Data, Machine Learning, Jupyter, Artificial Intelligence

  • Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Machine Learning, Predictive Modeling, Keras (Neural Network Library), Artificial Neural Networks, Python Programming, Classification And Regression Tree (CART), Data Science, Tensorflow, Mathematical Modeling, Computer Vision

  • Status: Free Trial

    Skills you'll gain: Predictive Modeling, Responsible AI, Predictive Analytics, Machine Learning, Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Data Science, Machine Learning Algorithms, Artificial Intelligence, Data Processing

  • Status: Preview

    Skills you'll gain: Classification And Regression Tree (CART), Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Feature Engineering, Unsupervised Learning, Dimensionality Reduction, Regression Analysis

  • Status: Free Trial

    Skills you'll gain: AWS Kinesis, AWS SageMaker, Machine Learning Algorithms, Data Collection, Amazon Redshift, MLOps (Machine Learning Operations), Image Analysis, Reinforcement Learning, Amazon Web Services, Scalability, Forecasting, Feature Engineering, Algorithms, Machine Learning, Technical Design, Data Analysis, Real Time Data, Predictive Modeling, Applied Machine Learning, Data Modeling

  • Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Quality, Applied Machine Learning, Data Cleansing, Machine Learning, Data Pipelines, Data Strategy, Supervised Learning, Machine Learning Algorithms, Data Processing, Performance Tuning, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Dataflow, Artificial Neural Networks, Deep Learning