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.

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Results for "Applied Machine Learning"

  • University of Michigan

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks

  • University of Michigan

    Skills you'll gain: Matplotlib, Network Analysis, Social Network Analysis, Feature Engineering, Data Visualization, Pandas (Python Package), Plot (Graphics), Data Visualization Software, Interactive Data Visualization, Model Evaluation, Applied Machine Learning, Supervised Learning, Text Mining, Statistical Visualization, Network Model, Data Manipulation, NumPy, Data Preprocessing, Natural Language Processing, Python Programming

  • Imperial College London

    Skills you'll gain: Dimensionality Reduction, Linear Algebra, Regression Analysis, NumPy, Calculus, Unsupervised Learning, Applied Mathematics, Statistical Methods, Descriptive Statistics, Model Optimization, Mathematical Software, Machine Learning Methods, Jupyter, Statistics, Numerical Analysis, Applied Machine Learning, Geometry, Artificial Neural Networks, Data Science, Data Manipulation

  • Skills you'll gain: Investment Management, Portfolio Management, Text Mining, Portfolio Risk, Applied Machine Learning, Asset Management, Network Analysis, Investments, Data Visualization Software, Machine Learning Methods, Return On Investment, Statistical Machine Learning, Financial Statement Analysis, Financial Data, Market Data, Financial Management, Unstructured Data, Predictive Modeling, Web Scraping, Risk Management

  • Skills you'll gain: Generative AI, Data Preprocessing, Model Evaluation, Generative Model Architectures, Dimensionality Reduction, Applied Machine Learning, Feature Engineering, Tensorflow, Generative Adversarial Networks (GANs), Computer Vision, LLM Application, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Convolutional Neural Networks, Keras (Neural Network Library), Recurrent Neural Networks (RNNs), Data Cleansing, Autoencoders

  • Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

  • University of Colorado Boulder

    Skills you'll gain: Reinforcement Learning, Deep Learning, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Artificial Intelligence, Responsible AI, Computational Logic, Machine Learning Algorithms, AI Workflows, Agentic systems, Decision Intelligence, Statistical Machine Learning, Applied Machine Learning, Artificial Neural Networks, Model Optimization, Theoretical Computer Science, Algorithms, Applied Mathematics

  • Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Model Deployment, Data Preprocessing, Applied Machine Learning, Project Management, Machine Learning, Data Cleansing, Data Pipelines, Systems Design, Data Collection, Data Science, Systems Architecture, System Monitoring

  • Duke University

    Skills you'll gain: MLOps (Machine Learning Operations), GitHub Copilot, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Web Frameworks, Rust (Programming Language), DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, Machine Learning, Serverless Computing, Application Deployment, GitHub, Command-Line Interface, Big Data

  • Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, LLM Application, Applied Machine Learning, Data Quality, Unstructured Data, Anomaly Detection, Machine Learning Methods, Data Science, Machine Learning, Data Preprocessing, Data Transformation, Data Analysis, Social Media Analytics, Data Manipulation, Python Programming, Exploratory Data Analysis

  • Skills you'll gain: Applied Machine Learning, Machine Learning Methods, Model Training

  • Skills you'll gain: Machine Learning Methods, Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Artificial Neural Networks, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Deep Learning, Health Policy, Artificial Intelligence