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: Free Trial

    Skills you'll gain: Generative Model Architectures, OpenAI, Applied Machine Learning

  • Skills you'll gain: Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Predictive Modeling, Data Science, Machine Learning, Google Cloud Platform, Python Programming

  • Status: Free Trial

    Skills you'll gain: AI Personalization, Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Data Mining, Algorithms

  • Status: Preview

    DeepLearning.AI

    Skills you'll gain: Market Opportunities, AI Product Strategy, Artificial Intelligence, Data Ethics, Strategic Thinking, Applied Machine Learning, Artificial Neural Networks, Data Science, Business Administration, Deep Learning, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Time Series Analysis and Forecasting, Demand Planning, Trend Analysis, Data Visualization, Customer Demand Planning, Regression Analysis, Plot (Graphics), Matplotlib, Forecasting, Predictive Modeling, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Supply Chain Management, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Statistical Modeling, Machine Learning, Python Programming

  • Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering, Python Programming

  • Status: Free Trial

    Skills you'll gain: Feature Engineering, Bioinformatics, Dimensionality Reduction, Predictive Modeling, Applied Machine Learning, Deep Learning, Artificial Neural Networks, Pandas (Python Package), Drug Development, Unsupervised Learning, Scikit Learn (Machine Learning Library), Data Manipulation, Molecular Biology, Regression Analysis, Machine Learning Algorithms, Exploratory Data Analysis, Machine Learning

  • Status: Preview

    Universitat Autònoma de Barcelona

    Skills you'll gain: Computer Vision, Image Analysis, Applied Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Application Development, Deep Learning, Computer Programming, Machine Learning, Algorithms, Histogram, Feature Engineering

  • Status: Free Trial

    Skills you'll gain: Databricks, Responsible AI, Microsoft Azure, Data Science, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Exploratory Data Analysis

  • Status: Free Trial

    Skills you'll gain: Google Cloud Platform, Artificial Intelligence, Responsible AI, Cloud API, Cloud Solutions, Data Quality, Machine Learning, Applied Machine Learning, Business Solutions, Natural Language Processing, Computer Vision, Data Science

  • Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra

  • Skills you'll gain: Tensorflow, Keras (Neural Network Library), Image Analysis, Computer Vision, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Python Programming

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