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  • Mathematical Foundations For Deep Learning

Results for "mathematical+foundations+for+deep+learning"


  • Status: Free Trial
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    S

    Simplilearn

    Foundations of Generative AI Models

    Skills you'll gain: Generative Model Architectures, Retrieval-Augmented Generation, Generative AI, Generative Adversarial Networks (GANs), Autoencoders, Model Evaluation, Large Language Modeling, Real Time Data, Scalability, Responsible AI, Transfer Learning, Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Deep Learning, Convolutional Neural Networks, Health Policy, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    601 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
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    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI Beginner Part 2 : Vector Calulus

    Skills you'll gain: Engineering Calculations, Applied Mathematics, Engineering Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Calculus, Mathematical Modeling, Advanced Mathematics, Machine Learning

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Decision Tree Learning, Machine Learning, Financial Trading, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Regression Analysis, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    3.7
    Rating, 3.7 out of 5 stars
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    341 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    Intel

    An Introduction to Practical Deep Learning

    Skills you'll gain: Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Computer Vision, Machine Learning Methods, Natural Language Processing, Scalability, Reinforcement Learning, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
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    150 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Simplilearn

    Deep Learning Frameworks and Neural Networks Simplified

    Skills you'll gain: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Application Frameworks, Artificial Intelligence, Machine Learning Methods, Image Analysis, Data Preprocessing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Health Data Science Foundation

    Skills you'll gain: Health Informatics, Deep Learning, Health Information Management, Machine Learning, Health Care, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Model Evaluation, Unsupervised Learning, Convolutional Neural Networks, Program Development, Predictive Modeling

    3
    Rating, 3 out of 5 stars
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    29 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
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    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Mastering Neural Networks and Model Regularization

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, Deep Learning, Supervised Learning, Artificial Neural Networks, Model Evaluation, Decision Tree Learning, Network Planning And Design, Machine Learning, Computer Vision

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Model Evaluation, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Convolutional Neural Networks, Decision Tree Learning, Computer Vision, Logistic Regression, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms

    4.7
    Rating, 4.7 out of 5 stars
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    699 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: NumPy, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Classification And Regression Tree (CART), Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Machine Learning, Computer Programming, Model Evaluation

    Beginner · Course · 3 - 6 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Quantization Fundamentals with Hugging Face

    Skills you'll gain: Generative AI, Hugging Face, Large Language Modeling, Performance Tuning, Model Deployment, Transfer Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Beginner · Project · Less Than 2 Hours

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In summary, here are 10 of our most popular mathematical+foundations+for+deep+learning courses

  • Foundations of Generative AI Models: Simplilearn
  • Fundamentals of Machine Learning for Healthcare: Stanford University
  • Math for AI Beginner Part 2 : Vector Calulus: Korea Advanced Institute of Science and Technology(KAIST)
  • Fundamentals of Machine Learning in Finance: New York University
  • An Introduction to Practical Deep Learning: Intel
  • Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
  • Health Data Science Foundation: University of Illinois Urbana-Champaign
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Mastering Neural Networks and Model Regularization: Johns Hopkins University
  • Machine Learning Foundations for Product Managers: Duke University

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