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.
123credentials
1online degree
437courses

Explore the Applied Machine Learning Course Catalog

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Keras (Neural Network Library), Data Quality, Machine Learning, Applied Machine Learning, Google Cloud Platform, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning Algorithms, Dataflow, MLOps (Machine Learning Operations), Data Ethics, Artificial Neural Networks, Cloud Computing, Performance Tuning, Data Pipelines, Deep Learning

  • 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

  • Status: Free

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, Tidyverse (R Package), R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Docker (Software), Containerization, Application Programming Interface (API)

  • Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Predictive Modeling, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Version Control, Data Validation, Data Cleansing

  • Status: Preview

    Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Cloud Infrastructure, Cloud Platforms, Artificial Intelligence, Applied Machine Learning, Machine Learning, Natural Language Processing, Automation

  • Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud API, Jupyter, Machine Learning, Natural Language Processing

  • Status: Free Trial

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

  • Status: New

    Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Applied Machine Learning, Unstructured Data

  • Skills you'll gain: MLOps (Machine Learning Operations), Data Governance, Data Management, Workflow Management, Google Cloud Platform, Tensorflow, Applied Machine Learning, Predictive Modeling, Machine Learning, Data Pipelines, Feature Engineering, Data Processing

  • Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Large Language Modeling, Artificial Intelligence, Data Processing, Machine Learning, Predictive Modeling, Natural Language Processing

  • Skills you'll gain: Google Cloud Platform, Unstructured Data, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Big Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, Natural Language Processing

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Keras (Neural Network Library), Exploratory Data Analysis, Data Cleansing, Machine Learning Methods, Supervised Learning, Data Processing, Dataflow, MLOps (Machine Learning Operations), Machine Learning Algorithms, Machine Learning, Jupyter, Data Pipelines, Big Data, Data Transformation, Artificial Neural Networks, Applied Machine Learning

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