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  • Supervised Learning Process


Results for "supervised learning process"


  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Ubiquitous Learning and Instructional Technologies

    Skills you'll gain: Education Software and Technology, Digital pedagogy, Instructional Strategies, Computer Science, Interactive Design, Emerging Technologies, Collaborative Software, Artificial Intelligence, Innovation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    73 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Practical Deep Learning with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Artificial Intelligence, Applied Machine Learning, Python Programming, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Tensorflow, Autoencoders, Generative Model Architectures, Deep Learning, Applied Machine Learning, Image Analysis, Bayesian Statistics, Probability Distribution, Unsupervised Learning, Sampling (Statistics)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Fine-tune Multimodal Models with Transfer Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Model Deployment, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Bracketology with Google Machine Learning

    Skills you'll gain: Data Preprocessing, Model Evaluation, Applied Machine Learning, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL

    Beginner · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    H

    H2O.ai

    H2O GPTe Learning Path

    Skills you'll gain: Retrieval-Augmented Generation, Large Language Modeling, AI Enablement, Generative AI, Web Applications, Artificial Intelligence, Data Processing, Prompt Engineering, Agentic systems, Application Development, Application Programming Interface (API), Automation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI & Deep Learning Concepts and Applications

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning, Applied Machine Learning, Data Ethics, Supervised Learning, Responsible AI, Unsupervised Learning, Natural Language Processing, Computer Programming

    4.2
    Rating, 4.2 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Curso Completo de Deep Learning

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Machine Learning, Data Preprocessing, Model Evaluation

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 1

    Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Model Evaluation, Random Forest Algorithm, Responsible AI, Data Import/Export, Machine Learning, Classification Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    77 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines

    4
    Rating, 4 out of 5 stars
    ·
    481 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad de los Andes

    Introducción al deep learning contemporáneo

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Convolutional Neural Networks, Generative Model Architectures, Generative Adversarial Networks (GANs), Transfer Learning, Vision Transformer (ViT), Image Analysis, Artificial Neural Networks, Machine Learning Methods, Computer Vision, Network Architecture, Natural Language Processing

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    AI and Machine Learning Algorithms and Techniques

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Supervised Learning, Deep Learning, LLM Application, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Predictive Modeling, Machine Learning Algorithms, Artificial Neural Networks, Feature Engineering, Model Evaluation, Convolutional Neural Networks, Data Preprocessing, Dimensionality Reduction

    4.7
    Rating, 4.7 out of 5 stars
    ·
    60 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Ubiquitous Learning and Instructional Technologies: University of Illinois Urbana-Champaign
  • Practical Deep Learning with Python: Edureka
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Fine-tune Multimodal Models with Transfer Learning: Coursera
  • Bracketology with Google Machine Learning: Google Cloud
  • H2O GPTe Learning Path: H2O.ai
  • AI & Deep Learning Concepts and Applications: Simplilearn
  • Curso Completo de Deep Learning: Coursera
  • Interpretable Machine Learning Applications: Part 1: Coursera
  • Machine Learning Operations (MLOps): Getting Started: Google Cloud

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