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

  • Skills you'll gain: Descriptive Statistics, Jupyter, Microsoft Azure, Matplotlib, Feature Engineering, Scatter Plots, Data Analysis, Statistics, Exploratory Data Analysis, Seaborn, Data Visualization Software, Correlation Analysis, Applied Machine Learning

  • Status: Free Trial

    Skills you'll gain: Dataflow, Tensorflow, Data Pipelines, Google Cloud Platform, Data Import/Export, Feature Engineering, Real Time Data, Unstructured Data, Applied Machine Learning, Data Lakes, Apache Spark, Dashboard, Big Data, Data Warehousing, Data Management, MLOps (Machine Learning Operations), Data Infrastructure, Cloud Engineering, Cloud Storage, PySpark

  • Status: Free Trial

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Performance Tuning, Data Science

  • Status: Free Trial

    Skills you'll gain: Machine Learning Algorithms, Internet Of Things, Artificial Intelligence, Unsupervised Learning, Python Programming, Embedded Software, Computer Vision, Peripheral Devices, Integrated Development Environments, Deep Learning, Applied Machine Learning, Image Analysis, Machine Learning, Embedded Systems, Civil Engineering, Computer Programming Tools, Wireless Networks, Automation, Digital Transformation, Enterprise Architecture

  • Status: Preview

    DeepLearning.AI

    Skills you'll gain: AI Product Strategy, Business Strategy, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Technology Strategies, Artificial Neural Networks, Applied Machine Learning, Data Science, Deep Learning, Machine Learning, Business Ethics, Recruitment

  • Status: Free

    Skills you'll gain: AI Personalization, Amazon Web Services, Amazon S3, Predictive Modeling, Applied Machine Learning

  • Status: Free Trial

    Skills you'll gain: Data Storytelling, Feature Engineering, Data Visualization, Supervised Learning, Dimensionality Reduction, Data Integration, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Technical Communication, Data Analysis, Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Processing, Descriptive Statistics, Data Cleansing, Predictive Modeling, Data Manipulation

  • Status: Preview

    Skills you'll gain: Deep Learning, Tensorflow, Data Processing, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Analysis, Machine Learning, Algorithms, Statistics

  • Status: Free Trial

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, AWS SageMaker, AWS Identity and Access Management (IAM), Identity and Access Management, Computer Vision, Generative AI, LLM Application, Amazon Web Services, Applied Machine Learning, Natural Language Processing, Machine Learning, Reinforcement Learning, Data Ethics, Artificial Intelligence, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Deep Learning, Data Wrangling

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Collaborative Software, Amazon Web Services, Tensorflow, Applied Machine Learning, LLM Application, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Application Development, Supervised Learning

  • Status: Free Trial

    University of Minnesota

    Skills you'll gain: Spreadsheet Software, Applied Machine Learning, Exploratory Data Analysis, Analysis, System Design and Implementation, Solution Design, Machine Learning Algorithms, Algorithms

  • Status: Free

    Skills you'll gain: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

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