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  • Mathematical Foundations For Deep Learning

Results for "mathematical foundations for deep learning"


  • Status: Free Trial
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    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Data Science, Algorithms, Data Manipulation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Image Analysis, Matlab, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Performance Tuning, Classification And Regression Tree (CART)

    4.9
    Rating, 4.9 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Regression Analysis, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm

    4
    Rating, 4 out of 5 stars
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    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Computer Science, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

    Skills you'll gain: Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    63K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    I

    Illinois Tech

    Deep Learning

    Skills you'll gain: Deep Learning, Generative AI, Artificial Neural Networks, Keras (Neural Network Library), PyTorch (Machine Learning Library), Network Architecture, Tensorflow, Computer Vision, Natural Language Processing, Machine Learning, Performance Tuning

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    32 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Probability & Statistics for Machine Learning & Data Science

    Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Statistical Inference, A/B Testing, Statistical Analysis, Statistical Machine Learning, Data Science, Exploratory Data Analysis, Statistical Visualization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    647 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Washington

    Machine Learning Foundations: A Case Study Approach

    Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Convolutional Neural Networks

    Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    43K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Machine Learning Methods, Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with Real-World Projects

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Matplotlib, Linear Algebra, Image Analysis, NumPy, Scientific Visualization, Machine Learning Algorithms, Keras (Neural Network Library), Pandas (Python Package), Seaborn, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Applied Machine Learning, Tensorflow, Data Analysis, Supervised Learning, Python Programming, Artificial Intelligence, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Machine Learning, Statistical Machine Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Mathematical Modeling, Probability & Statistics, Regression Analysis, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    937 reviews

    Beginner · Course · 1 - 3 Months

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

  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Introduction to Deep Learning for Computer Vision: MathWorks
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Computational Neuroscience: University of Washington
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization: DeepLearning.AI
  • Deep Learning: Illinois Tech
  • Probability & Statistics for Machine Learning & Data Science: DeepLearning.AI
  • Machine Learning Foundations: A Case Study Approach: University of Washington
  • Convolutional Neural Networks: DeepLearning.AI
  • Introduction to Machine Learning: Duke University

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