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.
123credentials
1online degree
437courses

Explore the Applied Machine Learning Course Catalog

  • Status: Preview

    Skills you'll gain: Regression Analysis, Jupyter, Machine Learning Software, Applied Machine Learning, Image Analysis, Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Predictive Analytics, Deep Learning, Supervised Learning, Artificial Intelligence, Computer Vision, Unsupervised Learning, Text Mining, Natural Language Processing

  • Status: Free Trial

    Skills you'll gain: Game Theory, Data-Driven Decision-Making, Cybersecurity, Data Science, Algorithms, Reinforcement Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning

  • Status: Preview

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

  • Status: Free Trial

    Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Graph Theory, Data Transformation, Development Environment, Distributed Computing, Build Tools, Regression Analysis, Performance Tuning

  • Status: Free

    Skills you'll gain: LLM Application, Large Language Modeling, Database Systems, Databases, Algorithms, Semantic Web, Data Mining, Prompt Engineering, Applied Machine Learning, Unsupervised Learning

  • Status: Free

    Skills you'll gain: AWS Kinesis, Amazon Web Services, Image Analysis, Applied Machine Learning, Live Streaming, Real Time Data, Computer Vision, Internet Of Things

  • Status: Free Trial

    Skills you'll gain: Generative Model Architectures, Generative AI, Applied Machine Learning, Statistical Modeling, Prompt Engineering, Large Language Modeling, Strategic Decision-Making, Machine Learning, Systems Integration, Software Development, Scalability, Innovation

  • Status: Preview

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

  • Status: Preview

    The Hong Kong University of Science and Technology

    Skills you'll gain: Web Analytics and SEO, AI Personalization, Semantic Web, Algorithms, Query Languages, Network Analysis, Text Mining, Information Architecture, Performance Testing, Natural Language Processing, User Research, Data Structures, Graph Theory, UI/UX Research, Applied Machine Learning, Linear Algebra

  • Status: Preview

    Skills you'll gain: Generative AI, Generative Model Architectures, Keras (Neural Network Library), Tensorflow, Large Language Modeling, Deep Learning, Applied Machine Learning, Machine Learning

  • Status: New
    Status: Free Trial

    Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

  • Status: Free Trial

    Skills you'll gain: Probability & Statistics, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis

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