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  • Interpretable Machine Learning

Results for "interpretable+machine+learning"


  • C

    Coursera

    Secure AI Interpret and Protect Models

    Skills you'll gain: AI Security, Threat Modeling, Security Engineering, Security Testing, IT Security Architecture, Security Architecture Review, Hardening, Continuous Monitoring, Security Controls, Security Requirements Analysis, Security Strategy, Model Training, Vulnerability Assessments, Data Integrity, Data Validation, Model Evaluation, Information Privacy, Generative Adversarial Networks (GANs), Analysis, Design

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Michigan

    Decoding AI: A Deep Dive into AI Models and Predictions

    Skills you'll gain: Generative AI, Model Evaluation, AI literacy, Data Ethics, Data Analysis, Model Training, Responsible AI, Data Literacy, Discussion Facilitation, Artificial Intelligence, Big Data, Predictive Modeling, Machine Learning, Social Impact

    ★ 4.8 (26) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Software, Deep Learning, Machine Learning, Feature Engineering, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    ★ 4.5 (27) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Predictive Modeling, Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Model Training, Data Processing, Analysis, Machine Learning, Classification Algorithms, Machine Learning Methods, Random Forest Algorithm, Statistical Visualization, Software Visualization

    ★ 4.8 (21) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • C

    Coursera

    Explainable AI: Scene Classification and GradCam Visualization

    Skills you'll gain: Model Evaluation, Keras (Neural Network Library), Deep Learning, Model Training, Convolutional Neural Networks, Image Analysis, Tensorflow, Computer Vision, Applied Machine Learning, Predictive Modeling, Spatial Data Analysis, Machine Learning, Data Preprocessing, Python Programming

    ★ 4.6 (59) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Credit offered
    Credit offered
  • N

    National Taiwan University

    機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations

    Skills you'll gain: Classification Algorithms, Supervised Learning, Machine Learning Methods, Model Training, Machine Learning, Machine Learning Algorithms, Logistic Regression, Data Validation, Statistical Machine Learning, Applied Machine Learning, Model Evaluation, Algorithms, Regression Analysis, Model Optimization, Verification And Validation, Feature Engineering, Data Transformation

    ★ 4.9 (331) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Déployer et adapter des modèles d'IA avec Cloud Run

    Skills you'll gain: Google Cloud Platform, Model Optimization, Model Deployment, Generative AI, Serverless Computing, Cloud Deployment, Application Deployment, AI Integrations, Performance Tuning, Machine Learning Methods, Scalability

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Category: Credit offered
    Credit offered
  • P

    Packt

    No-Code Machine Learning Using Amazon AWS SageMaker Canvas

    Skills you'll gain: AWS SageMaker, Applied Machine Learning, Model Evaluation, Amazon Web Services, Machine Learning Methods, No-Code Development, Model Training, Machine Learning, Machine Learning Algorithms, Supervised Learning, Cloud Platforms, Predictive Modeling, Amazon S3, Version Control, Data Preprocessing, Model Deployment, Data Import/Export, Data Validation

    Beginner · Course · 1 - 3 Months

    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, Plot (Graphics), NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Model Optimization, Machine Learning Algorithms, Text Mining, Data Manipulation, Predictive Modeling, Model Training, Unsupervised Learning, Data Management

    Mixed · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Feature Engineering, Machine Learning Methods, Regression Analysis, Machine Learning, Image Analysis, Machine Learning Algorithms, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Model Training, Artificial Intelligence, Deep Learning, Computer Vision, Transfer Learning, Application Development, Predictive Modeling, Model Deployment, Python Programming

    ★ 4.6 (14K) · Mixed · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Model Training, Machine Learning Algorithms, Transfer Learning, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Classification Algorithms, Random Forest Algorithm, Model Optimization, Artificial Neural Networks, Logistic Regression, Regression Analysis

    ★ 4.9 (8.7K) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • P

    Packt

    Machine Learning with PyTorch and Scikit-Learn

    Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Deep Learning, Generative AI, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Feature Engineering

    Intermediate · Course · 3 - 6 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
1…6789

In summary, here are 10 of our most popular interpretable+machine+learning courses

  • Secure AI Interpret and Protect Models: Coursera
  • Decoding AI: A Deep Dive into AI Models and Predictions: University of Michigan
  • Interpretable machine learning applications: Part 3: Coursera
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Explainable AI: Scene Classification and GradCam Visualization : Coursera
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Déployer et adapter des modèles d'IA avec Cloud Run: Google Cloud
  • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Machine Learning Foundations: A Case Study Approach: University of Washington

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