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    • Practical Machine Learning

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    357 results for "practical machine learning"

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      Duke University

      Machine Learning Foundations for Product Managers

      Skills you'll gain: Regression, Artificial Neural Networks, Data Structures, Theoretical Computer Science, Probability & Statistics, Econometrics, Machine Learning Algorithms, Data Management, Project, Machine Learning, General Statistics, Strategy and Operations, Process, Modeling, Deep Learning, Computer Vision, Algorithms, Natural Language Processing

      4.7

      (68 reviews)

      Beginner · Course · 1-3 Months

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      Stanford University

      Fundamentals of Machine Learning for Healthcare

      Skills you'll gain: Machine Learning Algorithms, Deep Learning, Machine Learning, Applied Machine Learning

      4.8

      (234 reviews)

      Beginner · Course · 1-3 Months

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      IBM

      AI Workflow: Feature Engineering and Bias Detection

      Skills you'll gain: Cloud Computing, Data Analysis, Lambda Calculus, Probability & Statistics, Data Clustering Algorithms, Statistical Visualization, Business Analysis, Exploratory Data Analysis, Machine Learning, Theoretical Computer Science, Data Visualization, Bias, Statistical Analysis, Algorithms, Unsupervised Learning

      4.4

      (63 reviews)

      Advanced · Course · 1-4 Weeks

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      IBM

      AI Workflow: Data Analysis and Hypothesis Testing

      Skills you'll gain: Hypothesis, Analysis, Probability & Statistics, Probability, Business Analysis, Statistical Hypothesis Testing, Hypothesis Testing, Data Analysis, Exploratory Data Analysis, General Statistics, Statistical Analysis, Inference

      4.2

      (94 reviews)

      Advanced · Course · 1-4 Weeks

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      IBM

      AI Workflow: Business Priorities and Data Ingestion

      Skills you'll gain: Business Process Management, Problem Solving, Matrices, Probability & Statistics, Organizational Development, Leadership and Management, Data Engineering, Strategy and Operations, Research and Design, Data Analysis, Computer Programming, Design Thinking, Business Psychology, Entrepreneurship, Statistical Programming, Python Programming, General Statistics, Process

      4.3

      (143 reviews)

      Intermediate · Course · 1-4 Weeks

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      IBM

      AI Workflow: Machine Learning, Visual Recognition and NLP

      Skills you'll gain: Mathematics, Decision Tree, Language, Econometrics, Tensorflow, Machine Learning, Natural Language, Algebra, Natural Language Processing

      4.4

      (64 reviews)

      Advanced · Course · 1-4 Weeks

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      IBM

      AI Workflow: AI in Production

      Skills you'll gain: Cloud Computing, Software Testing, Forecasting, Microservices, Probability & Statistics, Computer Programming, Performance, Kubernetes, Software Engineering, Machine Learning, Data Analysis, Java Annotation, Applied Machine Learning, Application Development, Reinforcement Learning, General Statistics

      4.5

      (41 reviews)

      Advanced · Course · 1-4 Weeks

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      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Applied Machine Learning, Artificial Neural Networks, Correlation And Dependence, Data Management, Data Structures, Deep Learning, Machine Learning, Probability & Statistics, Regression, Reinforcement Learning, Statistical Machine Learning, Theoretical Computer Science

      3.4

      (14 reviews)

      Intermediate · Specialization · 3-6 Months

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      Coursera Project Network

      Machine Learning para series temporales con ARIMA, SARIMA...

      Intermediate · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Crea un app de Machine Learning con Spark, Synapse Analytics

      Advanced · Guided Project · Less Than 2 Hours

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      IBM Skills Network

      IBM Introduction to Machine Learning

      Skills you'll gain: Algebra, Algorithms, Analysis, Applied Machine Learning, Bayesian Statistics, Business Analysis, Computer Programming, Computer Vision, Data Analysis, Data Management, Data Structures, Data Visualization, Databases, Deep Learning, Dimensionality Reduction, Experiment, Exploratory Data Analysis, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, NoSQL, Probability & Statistics, Python Programming, Regression, Statistical Machine Learning, Statistical Programming, Theoretical Computer Science

      4.6

      (1k reviews)

      Intermediate · Specialization · 3-6 Months

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      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

      Skills you'll gain: Convolutional Neural Network, Computer Vision, Computer Graphic Techniques, Artificial Neural Networks, Deep Learning, Tensorflow, Machine Learning, Computer Programming, Applied Machine Learning, Statistical Programming, Computer Graphics, Keras, Programming Principles, Python Programming

      4.7

      (17.5k reviews)

      Intermediate · Course · 1-4 Weeks

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    In summary, here are 10 of our most popular practical machine learning courses

    • Machine Learning Foundations for Product Managers: Duke University
    • Fundamentals of Machine Learning for Healthcare: Stanford University
    • AI Workflow: Feature Engineering and Bias Detection: IBM
    • AI Workflow: Data Analysis and Hypothesis Testing: IBM
    • AI Workflow: Business Priorities and Data Ingestion: IBM
    • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
    • AI Workflow: AI in Production: IBM
    • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
    • Machine Learning para series temporales con ARIMA, SARIMA...: Coursera Project Network
    • Crea un app de Machine Learning con Spark, Synapse Analytics: Coursera Project Network

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