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  • Mlops Machine Learning Operations

Results for "mlops (machine learning operations)"


  • U

    University of Illinois Urbana-Champaign

    Ubiquitous Learning and Instructional Technologies

    Skills you'll gain: Learning Management Systems, Education Software and Technology, Digital pedagogy, Instructional Strategies, Computer Science, Interactive Design, Emerging Technologies, Diversity Awareness

    4.6
    Rating, 4.6 out of 5 stars
    ·
    78 reviews

    Mixed · Course · 1 - 4 Weeks

  • P

    Politecnico di Milano

    Designing Learning Innovation: an introduction

    Skills you'll gain: Teaching, Pedagogy, Student Engagement, Instructional and Curriculum Design, Instructional Strategies, Instructional Design, Lesson Planning, Curriculum Planning, Student-Centred Learning, Innovation, Learning Theory, Quality Assessment, Infographics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Deep Learning: Advanced Backbones and Efficient GPU Training

    Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Deep Learning, Vision Transformer (ViT), Transfer Learning, Convolutional Neural Networks, Model Optimization, Model Training, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Distributed Computing, Data Preprocessing, Embeddings, Memory Management

    Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Linear Regression & Supervised Learning in Python

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Regression Analysis, Model Training, Predictive Modeling, Supervised Learning, Statistical Modeling, Data Analysis, Correlation Analysis, Predictive Analytics, Applied Machine Learning, Machine Learning Methods, Statistical Analysis, Data Preprocessing, Verification And Validation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Michigan

    Learning Experience Design: Theories and Frameworks

    Skills you'll gain: Course Development, Instructional Design, Learning Theory, Brainstorming, Design, Needs Assessment, Motivational Skills, Prototyping, Student-Centred Learning, Analysis, Communication, Collaboration

    4.9
    Rating, 4.9 out of 5 stars
    ·
    38 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Neural Networks, Deep Learning, Matplotlib, Convolutional Neural Networks, Linear Algebra, Image Analysis, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Statistical Visualization, Pandas (Python Package), Model Training, Applied Machine Learning, Data Science, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • I

    Imperial College London

    Probabilistic Deep Learning with TensorFlow 2

    Skills you'll gain: Generative AI, Tensorflow, Autoencoders, Generative Model Architectures, Bayesian Network, Deep Learning, Image Analysis, Bayesian Statistics, Model Optimization, Probability Distribution, Model Training, Sampling (Statistics), Data Transformation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    109 reviews

    Advanced · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Advanced Deep Learning Methods for Healthcare

    Skills you'll gain: Deep Learning, Generative AI, Generative Model Architectures, Applied Machine Learning, Machine Learning Methods, Graph Theory, Network Analysis, Artificial Neural Networks, Network Model, Health Informatics, Laboratory Experience, Autoencoders, Predictive Modeling, Unsupervised Learning, Data Synthesis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: Embeddings, PyTorch (Machine Learning Library), Feature Engineering, Artificial Neural Networks, Image Analysis, Deep Learning, Convolutional Neural Networks, Network Model, Model Training, Computer Vision

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Curriculum

    Skills you'll gain: Curriculum Development, Curriculum Planning, Teaching, Education and Training, Instructional and Curriculum Design, Instructional Strategies, Adult Education, Lesson Planning, Pedagogy, Student-Centred Learning, Student Engagement, Collaboration, Learning Theory, Planning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    529 reviews

    Mixed · Course · 1 - 3 Months

  • 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, Generative Model Architectures, Image Analysis, Model Training, Artificial Neural Networks, Text Mining, Computer Vision, Model Optimization, Data Preprocessing, Fine-tuning, Deep Learning, Tensorflow, Model Deployment

    Beginner · Specialization · 1 - 3 Months

  • U

    University of Glasgow

    Explainable Deep Learning Models for Healthcare

    Skills you'll gain: Autoencoders, Deep Learning, Model Evaluation, Recurrent Neural Networks (RNNs), Machine Learning, Applied Machine Learning, Responsible AI, Convolutional Neural Networks, Software Visualization, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Intermediate · Course · 1 - 4 Weeks

1…575859…834

In summary, here are 10 of our most popular mlops (machine learning operations) courses

  • Ubiquitous Learning and Instructional Technologies: University of Illinois Urbana-Champaign
  • Designing Learning Innovation: an introduction: Politecnico di Milano
  • Deep Learning: Advanced Backbones and Efficient GPU Training: Board Infinity
  • Linear Regression & Supervised Learning in Python: EDUCBA
  • Learning Experience Design: Theories and Frameworks: University of Michigan
  • Deep Learning with Real-World Projects: Packt
  • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
  • Advanced Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
  • Deep Learning with PyTorch : Siamese Network: Coursera
  • Foundations of Teaching for Learning: Curriculum: Commonwealth Education Trust

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