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.
118credentials
1online degree
433courses

Explore the Applied Machine Learning Course Catalog

  • Status: Free Trial

    Skills you'll gain: Machine Learning Algorithms, Internet Of Things, Artificial Intelligence, Unsupervised Learning, Python Programming, Embedded Software, Computer Vision, Peripheral Devices, Integrated Development Environments, Deep Learning, Applied Machine Learning, Image Analysis, Machine Learning, Embedded Systems, Civil Engineering, Computer Programming Tools, Wireless Networks, Automation, Digital Transformation, Enterprise Architecture

  • Status: Free

    Skills you'll gain: LLM Application, Anomaly Detection, Google Cloud Platform, Text Mining, Applied Machine Learning, Natural Language Processing, Semantic Web, Unsupervised Learning, Python Programming

  • Google Cloud

    Skills you'll gain: Artificial Neural Networks, Machine Learning Methods, Deep Learning, Applied Machine Learning, Performance Tuning, Natural Language Processing

  • Status: Preview

    Skills you'll gain: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks

  • Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Computer Vision, Applied Machine Learning, Deep Learning, Python Programming

  • Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning, Plot (Graphics), Machine Learning, Python Programming, Data Science

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Machine Learning, Applied Machine Learning, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Data Collection, Human Factors, Experimentation, Data Validation, Performance Tuning, Data Quality, Statistical Analysis

  • Status: New
    Status: Preview

    Skills you'll gain: Deepseek, Large Language Modeling, LLM Application, AI Personalization, ChatGPT, Deep Learning, Open Source Technology, Applied Machine Learning, Data Analysis, Analytical Skills, Application Programming Interface (API), Business Process Automation

  • Status: Free Trial

    Skills you'll gain: Extract, Transform, Load, Data Analysis, Jupyter, Data Visualization, Unsupervised Learning, Applied Machine Learning, Statistical Analysis, Exploratory Data Analysis, Machine Learning, Business Analytics, Analytical Skills, Data Manipulation, Data Cleansing, Data Processing, Trend Analysis, Data Storytelling, Project Scoping, Business Priorities, Business Analysis, Classification And Regression Tree (CART)

  • Status: New
    Status: Free Trial

    Skills you'll gain: Natural Language Processing, Data Ethics, Responsible AI, Text Mining, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Time Series Analysis and Forecasting, Data Analysis, Machine Learning, Unstructured Data, Data Cleansing, Data Processing, Applied Machine Learning, Deep Learning, Unified Modeling Language, Machine Learning Algorithms

  • Status: Free

    Skills you'll gain: Google Cloud Platform, Cloud Development, Cloud Computing, Generative AI, Applied Machine Learning, Datamaps, Spatial Data Analysis, Machine Learning, Real Time Data

  • Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

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