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  • Support Vector Machine Svm Theory And Implementation

Results for "support vector machine (svm) theory and implementation"


  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Data Visualization, Machine Learning, Programming Principles, Data Manipulation, Feature Engineering, Data Cleansing, Supervised Learning, Python Programming, Data Science, Data Processing, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Classification And Regression Tree (CART), Predictive Modeling, Data Analysis, Regression Analysis, Supervised Learning, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Data Cleansing, Bayesian Network, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Diabetes Disease Detection with XG-Boost and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Data Visualization, Exploratory Data Analysis, Data Presentation, Applied Machine Learning, Machine Learning Methods, Predictive Modeling, Deep Learning, Classification And Regression Tree (CART), Data Analysis, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Statistical Analysis, Feature Engineering, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Advanced Machine Learning Algorithms

    Skills you'll gain: Feature Engineering, Machine Learning Algorithms, Random Forest Algorithm, Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Decision Tree Learning, Performance Tuning, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Visual Perception

    Skills you'll gain: Computer Vision, Image Analysis, Dimensionality Reduction, Artificial Neural Networks, Unsupervised Learning, Deep Learning, Graph Theory, Machine Learning Algorithms, Machine Learning, Linear Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    34 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    Machine Learning Essentials

    Skills you'll gain: Statistical Machine Learning, Statistical Methods, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Regression Analysis, Statistical Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Data Science, Statistical Inference, Predictive Modeling, Probability & Statistics, Dimensionality Reduction

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Matlab, Geospatial Information and Technology, Data Integration, Medical Imaging, Estimation, Machine Learning Methods, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    55 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SAS

    Modeling Time Series and Sequential Data

    Skills you'll gain: Time Series Analysis and Forecasting, SAS (Software), Forecasting, Regression Analysis, Applied Machine Learning, Statistical Analysis, Advanced Analytics, Statistical Methods, Predictive Modeling, Statistical Modeling, Bayesian Statistics, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Machine Learning: Classification

    Skills you'll gain: Classification And Regression Tree (CART), Applied Machine Learning, Supervised Learning, Predictive Modeling, Text Mining, Machine Learning Algorithms, Feature Engineering, Data Cleansing, Scalability, Risking, Machine Learning, Natural Language Processing, Big Data, Probability & Statistics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Mixed · Course · 1 - 3 Months

  • P

    Politecnico di Milano

    Developing FPGA-accelerated cloud applications with SDAccel: Practice

    Skills you'll gain: Amazon Elastic Compute Cloud, Cloud Applications, Bioinformatics, Cloud Computing Architecture, Cloud Computing, Algorithms, Development Environment, Amazon Web Services, Performance Tuning, Computer Architecture, Hardware Architecture, Computer Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Data Balancing with Gen AI: Credit Card Fraud Detection

    Skills you'll gain: Generative AI, Fraud detection, Keras (Neural Network Library), Tensorflow, Deep Learning, Dimensionality Reduction, Exploratory Data Analysis, Anomaly Detection, Data Processing, Data Visualization, Data Synthesis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    8 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    Features and Boundaries

    Skills you'll gain: Image Analysis, Computer Vision, Computer Graphics, Algorithms, Linear Algebra, Mathematical Modeling, Machine Learning Algorithms, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    53 reviews

    Beginner · Course · 1 - 3 Months

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In summary, here are 10 of our most popular support vector machine (svm) theory and implementation courses

  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Exploratory Data Analysis & Core ML Algorithms: Packt
  • Diabetes Disease Detection with XG-Boost and Neural Networks: Coursera
  • Advanced Machine Learning Algorithms: Fractal Analytics
  • Visual Perception: Columbia University
  • Machine Learning Essentials: University of Pennsylvania
  • Introduction to Computer Vision: MathWorks
  • Modeling Time Series and Sequential Data: SAS
  • Machine Learning: Classification: University of Washington
  • Developing FPGA-accelerated cloud applications with SDAccel: Practice: Politecnico di Milano

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