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

  • Skills you'll gain: Tensorflow, Applied Machine Learning, Python Programming, Jupyter, Artificial Neural Networks, Deep Learning, Computer Vision, Machine Learning

  • Status: Free Trial

    Skills you'll gain: Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Algorithms, Advanced Mathematics, Linear Algebra

  • Status: Free Trial

    University of Colorado Boulder

    Skills you'll gain: Statistical Analysis, Matplotlib, Regression Analysis, Statistical Modeling, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Data Science, Environmental Policy, Data Analysis, Energy and Utilities, Data Visualization, Pandas (Python Package), Scikit Learn (Machine Learning Library), Supervised Learning, Climate Change Mitigation, Environment, Public Policies

  • Status: Free

    Skills you'll gain: Generative AI, Business Metrics, Machine Learning Methods, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Key Performance Indicators (KPIs), Performance Measurement, Performance Metric, AI Product Strategy, Business Solutions

  • Status: Free Trial

    Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability

  • Status: Free Trial

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Natural Language Processing, Text Mining, Applied Machine Learning

  • 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: 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

  • Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis

  • Skills you'll gain: Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Dimensionality Reduction, Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Algorithms, Data Analysis

  • Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Processing, Pandas (Python Package), Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

  • 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

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