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  • Supervised Learning Process


Results for "supervised+learning+process"


  • E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Machine Learning Methods, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Classification And Regression Tree (CART), Data Mining, Data Preprocessing, Pandas (Python Package), NumPy

    4.4
    Rating, 4.4 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Model Evaluation, Supervised Learning, Scikit Learn (Machine Learning Library), Tensorflow, Applied Machine Learning, Artificial Neural Networks, Python Programming, NumPy, Matplotlib, Deep Learning, Image Analysis, Machine Learning, Embeddings, Pandas (Python Package), Convolutional Neural Networks, Natural Language Processing, Regression Analysis

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 3 Months

  • C

    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Preprocessing, Data Analysis, Data Collection, AI Workflows, Statistical Analysis, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Feature Engineering, Machine Learning Algorithms, Process Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    AI Workflow: Machine Learning, Visual Recognition and NLP

    Skills you'll gain: Model Evaluation, Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Deep Learning, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Decision Tree Learning, Natural Language Processing, Scikit Learn (Machine Learning Library), Convolutional Neural Networks, Computer Vision, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    90 reviews

    Advanced · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    LLMOps

    Skills you'll gain: Responsible AI, LLM Application, Large Language Modeling, Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Kubernetes, Model Evaluation, Software Versioning, Supervised Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    36 reviews

    Beginner · Project · Less Than 2 Hours

  • M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Transfer Learning, Machine Learning, Tensorflow

    4.5
    Rating, 4.5 out of 5 stars
    ·
    330 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning in the Enterprise - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Management, Google Cloud Platform, Data Governance, Workflow Management, AI Workflows, Enterprise Modeling, Model Evaluation, Applied Machine Learning, Data Pipelines, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Trees, SVM and Unsupervised Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Unsupervised Learning, Classification And Regression Tree (CART), Decision Tree Learning, Artificial Neural Networks, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Random Forest Algorithm, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dimensionality Reduction, Statistics

    Build toward a degree

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Machine Learning and Human Learning

    Skills you'll gain: Education Software and Technology, Supervised Learning, Machine Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Digital pedagogy, Artificial Intelligence, AI Enablement, Data Mining, Learning Theory, Human Computer Interaction, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate, Validate, and Promote ML Models Safely

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Model Deployment, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis

    Intermediate · Course · 1 - 4 Weeks

  • N

    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • O

    O.P. Jindal Global University

    Unsupervised Learning and Its Applications in Marketing

    Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Feature Engineering, Autoencoders, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Model Evaluation, Algorithms

    Beginner · Course · 1 - 3 Months

1…678…9

In summary, here are 10 of our most popular supervised+learning+process courses

  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Machine Learning: O.P. Jindal Global University
  • Follow a Machine Learning Workflow: CertNexus
  • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
  • LLMOps: DeepLearning.AI
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Machine Learning in the Enterprise - Français: Google Cloud
  • Trees, SVM and Unsupervised Learning: University of Colorado Boulder
  • Machine Learning and Human Learning: University of Illinois Urbana-Champaign
  • Automate, Validate, and Promote ML Models Safely: Coursera

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