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: New
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    Skills you'll gain: Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Feature Engineering, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Python Programming, Predictive Modeling, Data Processing, Data Science, Data Manipulation, Exploratory Data Analysis

  • Status: New
    Status: Free Trial

    Skills you'll gain: Unsupervised Learning, Predictive Modeling, Supervised Learning, Applied Machine Learning, Predictive Analytics, Random Forest Algorithm, Text Mining, Natural Language Processing, Machine Learning Algorithms, Artificial Intelligence, Computational Logic, Python Programming, Scikit Learn (Machine Learning Library), Data Science, Data Processing, Unstructured Data, Algorithms

  • Status: Free Trial

    Skills you'll gain: Advanced Analytics, Hospitality Management, Budgeting, Financial Forecasting, Variance Analysis, Operating Budget, Corporate Sustainability, Revenue Management, Demand Planning, Financial Analysis, Performance Analysis, Trend Analysis, Sustainability Reporting, Applied Machine Learning, Analysis, Strategic Decision-Making, Key Performance Indicators (KPIs), Benchmarking

  • Status: Preview

    Skills you'll gain: Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Computer Vision, Artificial Neural Networks, Predictive Modeling, Exploratory Data Analysis, Performance Tuning

  • Status: Free Trial

    Skills you'll gain: Generative AI, LLM Application, Prompt Engineering, Training Programs, Large Language Modeling, Program Evaluation, Applied Machine Learning, Data Processing, Benchmarking, Artificial Neural Networks

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    Skills you'll gain: SAS (Software), Data Analysis Software, R (Software), Advanced Analytics, R Programming, Big Data, Image Analysis, Time Series Analysis and Forecasting, Natural Language Processing, Statistical Programming, Jupyter, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Deep Learning, Data Processing, Restful API, Computer Vision, Artificial Neural Networks

  • Status: Preview

    Skills you'll gain: Tensorflow, Image Analysis, Computer Vision, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Supervised Learning, Data Processing

  • Skills you'll gain: Google Cloud Platform, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Classification And Regression Tree (CART), Cloud Computing

  • Status: Free Trial

    Skills you'll gain: Responsible AI, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Intelligence, Data Ethics, Data-Driven Decision-Making

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Google Cloud Platform, Image Analysis, Applied Machine Learning, Unsupervised Learning

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    Skills you'll gain: Databricks, Scalability, Workflow Management, Organizational Leadership, Data Architecture, MLOps (Machine Learning Operations), Strategic Thinking, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Strategy, Strategic Planning, Infrastructure Architecture, Applied Machine Learning, Automation

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