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  • Explainable Machine Learning Models

Results for "explainable machine learning models"


  • E

    EDUCBA

    Logistic Regression with SAS: Build & Evaluate Models

    Skills you'll gain: Logistic Regression, Feature Engineering, Model Evaluation, SAS (Software), Data Preprocessing, Predictive Modeling, Classification Algorithms, Statistical Modeling, Regression Analysis, Data Analysis Software, Data Transformation, Statistical Analysis, Correlation Analysis, Graphing

    Mixed · Course · 1 - 4 Weeks

  • P

    Pearson

    Introduction to Transformer Models for NLP: Unit 2

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Natural Language Processing, Generative AI, Transfer Learning, Embeddings, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    SAS: Apply & Evaluate Poisson & Negative Binomial Models

    Skills you'll gain: SAS (Software), Statistical Modeling, Statistical Programming, Regression Analysis, Statistical Analysis, Model Evaluation, Statistical Methods, Probability Distribution, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • E

    EDUCBA

    AI Deep Learning Projects with TensorFlow

    Skills you'll gain: Tensorflow, Computer Vision, Model Evaluation, Convolutional Neural Networks, Deep Learning, Amazon Elastic Compute Cloud, Transfer Learning, Image Analysis, Amazon Web Services, Artificial Neural Networks, Keras (Neural Network Library), Model Deployment, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Data Preprocessing, Classification Algorithms, Application Development, Python Programming, Network Architecture

    Beginner · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Supervised Learning, Scikit Learn (Machine Learning Library), Data Analysis, Correlation Analysis, Applied Machine Learning, Scatter Plots, Statistical Analysis, Data Validation, Data Preprocessing, NumPy, Pandas (Python Package), Box Plots, Histogram

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 4 Weeks

  • W

    Whizlabs

    Azure AI & ML: Optimize Language Models for AI Applications

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microsoft Azure, Prompt Engineering, Cloud Deployment, Retrieval-Augmented Generation, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, AI Workflows, Data Pipelines, Continuous Monitoring, Performance Tuning, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : Generative Adversarial Network

    Skills you'll gain: Generative Adversarial Networks (GANs), PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Image Analysis, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    99 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    AI for Lawyers: Learning and Leading

    Skills you'll gain: Critical Thinking, Legal Technology, AI Enablement, Artificial Intelligence, Communication, Lifelong Learning, Professional Development, Constructive Feedback, Leadership, Adaptability, Creativity, Decision Making, Generative AI

    4.4
    Rating, 4.4 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Keras Deep Learning Projects with TensorFlow

    Skills you'll gain: Embeddings, Natural Language Processing, Keras (Neural Network Library), Generative AI, Convolutional Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Model Evaluation, Image Analysis, Artificial Neural Networks, Text Mining, Computer Vision, Data Preprocessing, Tensorflow, Deep Learning, Model Deployment, Applied Machine Learning, Google Cloud Platform, Jupyter, Matplotlib

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Michigan

    Learning Experience Design: Orientation to the Profession

    Skills you'll gain: Instructional Design, Learning Theory, Design, Education Software and Technology, Professional Development, Diversity Equity and Inclusion Initiatives, User Centered Design, Emerging Technologies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    80 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Generative AI as a Learning Design Partner

    Skills you'll gain: Generative AI, Responsible AI, Prompt Engineering, ChatGPT, Instructional Design, LLM Application, Ideation, Education Software and Technology, Brainstorming, Design Strategies, Artificial Intelligence, Content Creation, Data Ethics, Creative Design, Emerging Technologies, Persona Development, Professional Development, digital literacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Train Large Language Models Faster - Parallelism Deep Dive

    Skills you'll gain: Generative AI

    Intermediate · Course · 3 - 6 Months

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

  • Logistic Regression with SAS: Build & Evaluate Models: EDUCBA
  • Introduction to Transformer Models for NLP: Unit 2: Pearson
  • SAS: Apply & Evaluate Poisson & Negative Binomial Models: EDUCBA
  • AI Deep Learning Projects with TensorFlow: EDUCBA
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • Azure AI & ML: Optimize Language Models for AI Applications: Whizlabs
  • Deep Learning with PyTorch : Generative Adversarial Network: Coursera
  • AI for Lawyers: Learning and Leading: University of Michigan
  • Keras Deep Learning Projects with TensorFlow: EDUCBA
  • Learning Experience Design: Orientation to the Profession: University of Michigan

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