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  • Mathematical Foundations For Deep Learning

Results for "mathematical foundations for deep learning"


  • Status: New
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    O

    O.P. Jindal Global University

    Machine Learning

    Skills you'll gain: Supervised Learning, Tensorflow, Image Analysis, Artificial Neural Networks, Scikit Learn (Machine Learning Library), Python Programming, Machine Learning, Deep Learning, Unstructured Data, NumPy, Matplotlib, Natural Language Processing, Text Mining, Pandas (Python Package), Regression Analysis, Performance Tuning

    Build toward a degree

    3.3
    Rating, 3.3 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    FinTech Foundations and Overview

    Skills you'll gain: FinTech, Financial Services, Banking, Financial Regulation, Mobile Banking, Emerging Technologies, Technology Strategies, Payment Systems, Blockchain, Business Technologies, Consumer Lending, Entrepreneurship, Big Data, Market Trend, Innovation, Strategic Partnership

    4.7
    Rating, 4.7 out of 5 stars
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    564 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    S

    Sungkyunkwan University

    Machine Learning Basics

    Skills you'll gain: Machine Learning Algorithms, Machine Learning, Python Programming, Supervised Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Regression Analysis, Data Analysis, Statistical Methods, Linear Algebra, Probability

    4.4
    Rating, 4.4 out of 5 stars
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    90 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
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    M

    MathWorks

    Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Machine Learning, Control Systems, Simulations

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Python

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Dimensionality Reduction, Python Programming, Statistical Analysis, Classification And Regression Tree (CART), Feature Engineering

    4.7
    Rating, 4.7 out of 5 stars
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    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Advanced Learning Algorithms

    Skills you'll gain: Classification And Regression Tree (CART), Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
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    8.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    C

    ConsenSys Academy

    Blockchain: Foundations and Use Cases

    Skills you'll gain: Blockchain, Cryptography, Interoperability, Encryption, FinTech, Emerging Technologies, Ledgers (Accounting), Business Modeling, Distributed Computing, Open Source Technology, Digital Assets, Transaction Processing, Scalability

    4.7
    Rating, 4.7 out of 5 stars
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    845 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning

    Skills you'll gain: Computer Vision, PyTorch (Machine Learning Library), Supervised Learning, Unsupervised Learning, Image Analysis, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Feature Engineering, Machine Learning Algorithms, Regression Analysis, Data Processing, Machine Learning, Predictive Modeling, Data Mining, Data Cleansing, Statistical Machine Learning, Deep Learning, Artificial Neural Networks, Decision Tree Learning

    3.5
    Rating, 3.5 out of 5 stars
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    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Learners and Learning

    Skills you'll gain: Student Engagement, Teaching, Pedagogy, Classroom Management, Human Learning, Working With Children, Child Development, Learning Theory, Differentiated Instruction, Parent Communication, Cultural Diversity, Substance Abuse

    4.7
    Rating, 4.7 out of 5 stars
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    274 reviews

    Mixed · Course · 1 - 3 Months

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    U

    University of Illinois Urbana-Champaign

    Instructional Design Foundations and Applications

    Skills you'll gain: Instructional and Curriculum Design, Needs Assessment, Instructional Design, Learning Theory, Diversity and Inclusion, Training and Development, Education and Training, Curriculum Development, Analysis

    4.1
    Rating, 4.1 out of 5 stars
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    838 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    D

    DeepLearning.AI

    Neuronale Netze und Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Artificial Intelligence, NumPy, Computer Vision, Machine Learning, Supervised Learning, Linear Algebra, Calculus

    Intermediate · Course · 1 - 4 Weeks

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

  • Machine Learning: O.P. Jindal Global University
  • FinTech Foundations and Overview: The Hong Kong University of Science and Technology
  • Machine Learning Basics: Sungkyunkwan University
  • Reinforcement Learning: MathWorks
  • Machine Learning with Python: IBM
  • Advanced Learning Algorithms: DeepLearning.AI
  • Blockchain: Foundations and Use Cases: ConsenSys Academy
  • Applied Machine Learning: Johns Hopkins University
  • Foundations of Teaching for Learning: Learners and Learning: Commonwealth Education Trust
  • Scikit-Learn For Machine Learning Classification Problems: Coursera

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