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

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Data Analysis, Jupyter, Exploratory Data Analysis, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Responsible AI, Supervised Learning, Information Privacy, Deep Learning, Environmental Monitoring, Public Health

  • Status: New
    Status: Free Trial

    Skills you'll gain: Generative AI, Large Language Modeling, Responsible AI, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), SAS (Software), Applied Machine Learning, Deep Learning, Text Mining, Natural Language Processing

  • Status: New
    Status: Free Trial

    Skills you'll gain: Plotly, NumPy, Probability & Statistics, Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Machine Learning, Interactive Data Visualization, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Keras (Neural Network Library), JSON, Applied Machine Learning, Javascript, Deep Learning, Data Processing, Real Time Data, Web Applications, Machine Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Keras (Neural Network Library), Image Analysis, Deep Learning, Artificial Neural Networks, Computer Vision, Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Python Programming, Google Cloud Platform, Development Environment

  • Status: Free Trial

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming

  • Status: Free Trial

    Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Google Cloud Platform, Feature Engineering, Small Data, Cloud API

  • Status: New
    Status: Preview

    Skills you'll gain: Responsible AI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Amazon Web Services, Artificial Intelligence, Applied Machine Learning, Prompt Engineering, Large Language Modeling, Machine Learning, Data Governance, Cloud Security

  • Status: New
    Status: Preview

    Skills you'll gain: AI Personalization, Applied Machine Learning, Deep Learning

  • Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning, Predictive Modeling, Deep Learning, Data Science, Python Programming

  • Status: Free Trial

    Stanford University

    Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

  • Status: New

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning, Data Analysis, Time Series Analysis and Forecasting

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