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  • Mathematical Foundations Of Neural Networks

Results for "mathematical+foundations+of+neural+networks"


  • P

    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Artificial Neural Networks, Logistic Regression, Data Cleansing, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Model Evaluation, Network Architecture, Machine Learning Algorithms, NumPy, Pandas (Python Package), Performance Tuning

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI beginner part 1 Linear Algebra

    Skills you'll gain: Linear Algebra, Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning, Mathematical Modeling

    4.4
    Rating, 4.4 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    Edureka

    Neural Models and Machine Translation

    Skills you'll gain: Large Language Modeling, Natural Language Processing, Model Evaluation, Recurrent Neural Networks (RNNs), Transfer Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    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: Preview
    Preview
    N

    National Taiwan University

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

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Foundations of Statistical Learning & Algorithms

    Skills you'll gain: Model Evaluation, Linear Algebra, Statistical Machine Learning, Probability, Bayesian Statistics, Probability Distribution, Mathematical Modeling, Machine Learning, Applied Mathematics, Statistical Inference, Dimensionality Reduction, Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    S

    Simplilearn

    Introduction to CNN Training

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Model Evaluation, Data Preprocessing, Python Programming

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations of ML & Python for Data Science

    Skills you'll gain: Model Evaluation, Data Manipulation, Python Programming, Probability & Statistics, Applied Machine Learning, Pandas (Python Package), Data Science, Statistical Analysis, NumPy, Machine Learning, Probability Distribution

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    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
    ·
    341 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Foundations and Core Concepts of PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Model Evaluation, Deep Learning, Machine Learning, Artificial Neural Networks, Artificial Intelligence, Python Programming, Data Preprocessing, Regression Analysis, Software Installation, System Configuration, Development Environment, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    42 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Generative AI Foundations

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Applied Machine Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: AI Enablement, Model Evaluation, Performance Metric, Artificial Intelligence and Machine Learning (AI/ML), Strategic Leadership, Responsible AI, Machine Learning Algorithms, Data Quality, Model Deployment, Machine Learning, Algorithms, Classification Algorithms, Artificial Neural Networks, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements, Data Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

1…567…9

In summary, here are 10 of our most popular mathematical+foundations+of+neural+networks courses

  • Deep Neural Network for Beginners Using Python: Packt
  • Math for AI beginner part 1 Linear Algebra: Korea Advanced Institute of Science and Technology(KAIST)
  • Neural Models and Machine Translation: Edureka
  • Deep Learning Frameworks and Neural Networks Simplified: Simplilearn
  • 機器學習基石下 (Machine Learning Foundations)---Algorithmic Foundations: National Taiwan University
  • Foundations of Statistical Learning & Algorithms: Northeastern University
  • Introduction to CNN Training: Simplilearn
  • Foundations of ML & Python for Data Science: Packt
  • Fundamentals of Machine Learning in Finance: New York University
  • Foundations and Core Concepts of PyTorch: Packt

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