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  • Explainable Machine Learning Models


Results for "explainable machine learning models"


  • P

    Pearson

    Learning Deep Learning: Unit 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Convolutional Neural Networks, Tensorflow, Transfer Learning, Natural Language Processing, Embeddings, Image Analysis, Deep Learning, Computer Vision, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning Engineering

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Vision Transformer (ViT), Model Evaluation, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Applied Machine Learning, Dataflow, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines, Computer Vision

    Advanced · Specialization · 1 - 3 Months

  • C

    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Java Programming, Java, Feature Engineering, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • U

    Università di Napoli Federico II

    Asset Pricing Models

    Skills you'll gain: Securities (Finance), Portfolio Management, Equities, Investments, Finance, Fixed Asset, Derivatives, Capital Markets, Statistical Methods, Financial Modeling, Risk Analysis, Regression Analysis, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 繁體中文

    Skills you'll gain: Prompt Engineering, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Orchestration, Big Data, Model Deployment, No-Code Development

    Beginner · Course · 1 - 3 Months

  • U

    University of California, Santa Cruz

    Bayesian Statistics: Mixture Models

    Skills you'll gain: R Programming, Statistical Modeling, Bayesian Statistics, Statistical Software, Markov Model, Mathematical Modeling, Statistical Methods, Probability & Statistics, Unsupervised Learning, Machine Learning Methods, Probability Distribution, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    Universidad de los Andes

    Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Classification Algorithms, Artificial Intelligence, Dimensionality Reduction, Anomaly Detection, Machine Learning, Data Ethics, Regression Analysis, Probability & Statistics, Responsible AI, Embedded Systems, Natural Language Processing, Computer Vision, Image Analysis, Model Evaluation, Linear Algebra, Machine Learning Algorithms, Applied Machine Learning, Bayesian Statistics

    Credit offered

    Mastertrack · 6 - 12 Months

  • C

    Coursera

    Optimize ML Models: Hyperparameter Tuning

    Skills you'll gain: Model Evaluation, Performance Tuning, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pearson

    Learning Deep Learning: Unit 3

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Image Analysis, Model Deployment, PyTorch (Machine Learning Library), Deep Learning, Vision Transformer (ViT), Tensorflow, Convolutional Neural Networks, LLM Application, Transfer Learning, Computer Vision, Responsible AI, Generative AI, Multimodal Prompts, Artificial Neural Networks, Artificial Intelligence, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistical Inference

    4.6
    Rating, 4.6 out of 5 stars
    ·
    107 reviews

    Advanced · Course · 1 - 4 Weeks

  • U

    University of Colorado System

    Managing ADHD, Autism, Learning Disabilities, and Concussion in School

    Skills you'll gain: Autism Spectrum Disorders, Mental and Behavioral Health Specialties, Communication Disorders, Neurology, School Psychology, Patient Evaluation, Disabilities, Special Education, Pediatrics, Child Development, Rehabilitation, Diagnostic Tests, Clinical Assessment, Mental Health, Individualized Education Programs (IEP), Occupational Therapy, Psychological Evaluations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.7K reviews

    Mixed · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular explainable machine learning models courses

  • Learning Deep Learning: Unit 2: Pearson
  • Deep Learning Engineering: Coursera
  • ML Concepts, Models & Workflow Essentials: Coursera
  • Asset Pricing Models: Università di Napoli Federico II
  • Introduction to AI and Machine Learning on GC - 繁體中文: Google Cloud
  • Bayesian Statistics: Mixture Models: University of California, Santa Cruz
  • Inteligencia Artificial: Machine learning, ética y nuevas tendencias Certificado MasterTrack®: Universidad de los Andes
  • Optimize ML Models: Hyperparameter Tuning : Coursera
  • Learning Deep Learning: Unit 3: Pearson
  • Probabilistic Graphical Models 1: Representation: Stanford University

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