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

  • Skills you'll gain: Data Management, Data Governance, MLOps (Machine Learning Operations), Forecasting, Google Cloud Platform, Data Pipelines, Predictive Analytics, Predictive Modeling, Applied Machine Learning, Data Processing, Machine Learning, Feature Engineering, Data Transformation, Performance Tuning

  • 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

  • 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

  • Status: Free Trial

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

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

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Unstructured Data, Advanced Analytics, Predictive Modeling, Jupyter, Data Pipelines, Artificial Intelligence, Natural Language Processing

  • Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Rmarkdown, Shiny (R Package), Deep Learning, Data Import/Export, Reinforcement Learning, R Programming, Ggplot2, Data Manipulation, Plotly, Applied Machine Learning, Machine Learning Algorithms, Web Scraping, Artificial Intelligence, Dimensionality Reduction, Interactive Data Visualization, Statistical Analysis, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML)

  • Status: Free

    Coursera Project Network

    Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis

  • Status: Free Trial

    Skills you'll gain: Health Informatics, Decision Support Systems, Process Mapping, Business Intelligence, Business Analytics, Predictive Analytics, Data-Driven Decision-Making, Customer experience strategy (CX), Advanced Analytics, Artificial Intelligence and Machine Learning (AI/ML), Analytics, Process Analysis, Applied Machine Learning, Healthcare Industry Knowledge, Machine Learning Algorithms

  • Status: New
    Status: Free Trial

    Skills you'll gain: Large Language Modeling, Deep Learning, Prompt Engineering, Image Analysis, PyTorch (Machine Learning Library), Tensorflow, LLM Application, Computer Vision, Responsible AI, Natural Language Processing, Generative AI, Artificial Neural Networks, Data Ethics, Multimodal Prompts, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning Methods, Artificial Intelligence, Application Deployment, Time Series Analysis and Forecasting

  • Status: Free Trial

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

What brings you to Coursera today?

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