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  • Support Vector Machine

Results for "support vector machine"


  • Status: Preview
    Preview
    S

    SAS

    Four Rare Machine Learning Skills All Data Scientists Need

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Statistical Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
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    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Português Brasileiro

    Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Google Cloud Platform, Model Deployment, Cloud Management, Application Lifecycle Management, DevOps, Cloud Deployment, Applied Machine Learning, Continuous Deployment, Automation

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    IBM

    z/Architecture Assembler Language Pt 2: Machine Instructions

    Skills you'll gain: z/OS, Computer Architecture, Mainframe Computing, System Programming, Computer Programming, Computational Logic, Data Storage, Job Control Language (JCL)

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Cluster Analysis and Unsupervised Machine Learning in Python

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Interactive Data Visualization, Applied Machine Learning, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Methods, Algorithms, NumPy, Python Programming, Development Environment

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Associate

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Deployment, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Machine Learning with Spark on Google Cloud Dataproc

    Skills you'll gain: Model Evaluation, Apache Spark, Google Cloud Platform, Logistic Regression, Predictive Modeling, Big Data, Data Preprocessing, Applied Machine Learning

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Model Evaluation, Exploratory Data Analysis, Data Quality, Data Cleansing, Keras (Neural Network Library), Data Preprocessing, Google Cloud Platform, Machine Learning, Logistic Regression, Data Pipelines, Data Strategy, Model Deployment, Machine Learning Algorithms, Performance Tuning, Dataflow, Artificial Neural Networks, Applied Machine Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    30 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    C

    Coursera

    Data and Machine Learning for Technical Product Managers

    Skills you'll gain: Model Evaluation, Project Management Software, Technical Communication, Technical Product Management, Performance Metric, Agile Project Management, Data Analysis, Project Management, Analytics, Stakeholder Communications, Data-Driven Decision-Making, Machine Learning, Large Language Modeling, R Programming, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Machine Learning, Big Data, and Deep Learning

    Skills you'll gain: Apache Spark, PySpark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Tensorflow, A/B Testing, Data Ethics, Convolutional Neural Networks, Machine Learning Software, Data Cleansing, Machine Learning, Recurrent Neural Networks (RNNs), MLOps (Machine Learning Operations), Artificial Intelligence, Dimensionality Reduction

    Advanced · Course · 1 - 3 Months

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In summary, here are 10 of our most popular support vector machine courses

  • Four Rare Machine Learning Skills All Data Scientists Need: SAS
  • Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
  • Clustering and Classification with Machine Learning in R: Packt
  • z/Architecture Assembler Language Pt 2: Machine Instructions: IBM
  • Cluster Analysis and Unsupervised Machine Learning in Python: Packt
  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Associate: Whizlabs
  • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Data and Machine Learning for Technical Product Managers: Coursera

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