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.
119credentials
431courses

Explore the Applied Machine Learning Course Catalog

  • Skills you'll gain: Tensorflow, Google Cloud Platform, Image Analysis, Applied Machine Learning, Cloud Computing, Distributed Computing

  • Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Processing, Keras (Neural Network Library), Data Pipelines, Data Transformation, Machine Learning, Applied Machine Learning, Data Modeling, Statistical Methods

  • Skills you'll gain: Customer Analysis, Predictive Modeling, Predictive Analytics, Analytics, E-Commerce, Big Data, Google Cloud Platform, Applied Machine Learning, Machine Learning Methods, Data Analysis, Statistical Modeling

  • Status: Free Trial

    Skills you'll gain: Data-Driven Decision-Making, Artificial Intelligence, Customer Analysis, AI Product Strategy, Business Intelligence, Classification And Regression Tree (CART), Image Analysis, Machine Learning, Decision Tree Learning, Virtual Environment, Applied Machine Learning, Big Data, Natural Language Processing

  • Status: New
    Status: Preview

    Skills you'll gain: Generative AI, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Application Frameworks, Tensorflow, Applied Machine Learning, Performance Tuning, Hardware Architecture, Computer Hardware, Algorithms, Scalability

  • Status: Preview

    Skills you'll gain: Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Natural Language Processing, Text Mining

  • Skills you'll gain: Google Cloud Platform, Text Mining, Applied Machine Learning, Cloud API, Unstructured Data, Cloud Computing

  • Skills you'll gain: Anomaly Detection, Image Analysis, Google Cloud Platform, Computer Vision, Data Import/Export, Applied Machine Learning, Predictive Modeling, Data Management

  • Status: Preview

    Skills you'll gain: Data Ethics, Responsible AI, Machine Learning, Game Theory, Algorithms, Applied Machine Learning, Artificial Intelligence, Predictive Modeling, Data Quality

  • Status: Free Trial

    Dartmouth College

    Skills you'll gain: Business Ethics, Predictive Modeling, Predictive Analytics, Advanced Analytics, Scikit Learn (Machine Learning Library), Digital Transformation, Business Analytics, Data-Driven Decision-Making, Feature Engineering, Applied Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Big Data, Regression Analysis, Supervised Learning, Python Programming, Data Quality, Cloud Platforms, Performance Metric, Artificial Neural Networks

  • Status: New
    Status: Free Trial

    Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

  • Skills you'll gain: Real Time Data, Scalability, Data Pipelines, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning

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