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    • Pattern Recognition

    Pattern Recognition Courses Online

    Master pattern recognition for machine learning and AI. Learn to identify patterns in data and develop recognition algorithms.

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    Explore the Pattern Recognition Course Catalog

    • Status: Preview
      Preview
      N

      National Taiwan University

      機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

      Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Data Validation, Classification And Regression Tree (CART), Applied Machine Learning, Algorithms, Regression Analysis, Predictive Modeling, Verification And Validation, Feature Engineering, Statistical Methods, Data Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      331 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      T

      The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

      3.8
      Rating, 3.8 out of 5 stars
      ·
      24 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Demand Forecasting Using Time Series

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

      3.4
      Rating, 3.4 out of 5 stars
      ·
      37 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      N

      Northeastern University

      Foundations of Statistical Learning & Algorithms

      Skills you'll gain: Linear Algebra, Statistical Machine Learning, Statistical Modeling, Probability, Statistical Methods, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Algebra

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      Build Regression, Classification, and Clustering Models

      Skills you'll gain: Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Methods, Supervised Learning, Feature Engineering, Classification And Regression Tree (CART), Performance Tuning, Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Classification

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      423 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Satellite Remote Sensing Data Bootcamp With Opensource Tools

      Skills you'll gain: Geospatial Information and Technology, Geospatial Mapping, Spatial Data Analysis, Applied Machine Learning, Geographic Information Systems, GIS Software, Environmental Monitoring, Unsupervised Learning, Data Analysis Software, Image Analysis, Machine Learning, R Programming, Data Processing, Open Source Technology, Data Transformation, Dimensionality Reduction

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Feature Engineering, Jupyter, Data Science, Advanced Mathematics, Statistics, Machine Learning Algorithms, Statistical Analysis, Artificial Neural Networks, Algorithms, Python Programming, Machine Learning, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Practical Machine Learning

      Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, R Programming, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Predictive Modeling, Model Fitting, and Regression Analysis

      Skills you'll gain: Predictive Modeling, Predictive Analytics, Classification And Regression Tree (CART), Regression Analysis, Decision Tree Learning, Statistical Modeling, Supervised Learning, Data Analysis, Forecasting, Machine Learning, Unsupervised Learning, Statistical Analysis, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      71 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Optical and X-Ray Characterization

      Skills you'll gain: Semiconductors, Laboratory Equipment, Failure Analysis, Laboratory Testing, Electronics, Quantitative Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      26 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      The Nuts and Bolts of Machine Learning

      Skills you'll gain: Feature Engineering, Advanced Analytics, Machine Learning, Unsupervised Learning, Machine Learning Algorithms, Workflow Management, Data Ethics, Supervised Learning, Predictive Modeling, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      555 reviews

      Advanced · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular pattern recognition courses

    • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
    • Machine Learning: Concepts and Applications: The University of Chicago
    • Demand Forecasting Using Time Series: LearnQuest
    • Foundations of Statistical Learning & Algorithms: Northeastern University
    • Build Regression, Classification, and Clustering Models: CertNexus
    • Supervised Machine Learning: Classification: IBM
    • Satellite Remote Sensing Data Bootcamp With Opensource Tools: Packt
    • Mathematics for Machine Learning: Imperial College London
    • Practical Machine Learning: Johns Hopkins University
    • Predictive Modeling, Model Fitting, and Regression Analysis: University of California, Irvine

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