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  • Math For Machine Learning

Math For Machine Learning Courses

Courses in Math for Machine Learning often teach linear algebra, calculus, probability, and statistics, providing a solid foundation for understanding algorithms. You can build skills in optimization techniques, data analysis, and model evaluation, which are crucial for effective machine learning applications. Many courses introduce tools like Python libraries such as NumPy and TensorFlow, which help you implement mathematical concepts in AI projects and enhance your ability to work with data-driven models.


Popular Math For Machine Learning Courses and Certifications


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    I

    IBM

    z/Architecture Assembler Language Pt 2: Machine Instructions

    Skills you'll gain: z/OS, Computer Architecture, Mainframe Computing, System Programming, Computer Programming, Computational Logic, Data Storage, Job Control Language (JCL)

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Packt

    Foundations of Deep Learning and Neural Networks

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Keras (Neural Network Library), Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Machine Learning Methods, Network Architecture, Artificial Intelligence, Network Model, Machine Learning, Classification Algorithms, Data Processing

    Intermediate · Course · 1 - 3 Months

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    École Polytechnique

    Étudier en France: French Intermediate course B1-B2

    Skills you'll gain: Language Competency, Grammar, Language Learning, Intercultural Competence, Oral Comprehension, Oral Expression, Higher Education, Vocabulary, Writing, Interactive Learning, Blended Learning

    4.8
    Rating, 4.8 out of 5 stars
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    5.2K reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Utilizing Engaging Assessment with Boom Learning

    Skills you'll gain: Education Software and Technology, Digital pedagogy

    4.4
    Rating, 4.4 out of 5 stars
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    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Packt

    Deep Learning - Recurrent Neural Networks with TensorFlow

    Skills you'll gain: Recurrent Neural Networks (RNNs), Embeddings, Time Series Analysis and Forecasting, Tensorflow, Natural Language Processing, Forecasting, Image Analysis, Deep Learning, Artificial Neural Networks, Predictive Analytics, Predictive Modeling, Technical Analysis, Data Preprocessing, Supervised Learning, Data Science, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    C++ Crash Course - Quick and Practical Learning

    Skills you'll gain: File I/O, Data Validation

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Packt

    ReactJS Development and Project-Based Learning

    Skills you'll gain: Amazon Elastic Compute Cloud, Amazon Web Services, Cloud Hosting, Front-End Web Development, React.js, Javascript, Web Development Tools, Full-Stack Web Development, Web Applications, Cloud Security, Hypertext Markup Language (HTML)

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Advanced Chatbots with Deep Learning and Python

    Skills you'll gain: Large Language Modeling, Deep Learning, Data Preprocessing, Keras (Neural Network Library), Tensorflow, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Generative Model Architectures, Natural Language Processing

    Advanced · Course · 1 - 4 Weeks

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    U

    University of Illinois Urbana-Champaign

    New Learning: Principles and Patterns of Pedagogy

    Skills you'll gain: Pedagogy, Digital pedagogy, Education and Training, Teaching, Human Learning, Differentiated Instruction, Higher Education, Instructional Strategies, Cultural Diversity, Lifelong Learning, Willingness To Learn, Curriculum Development, Student-Centred Learning, Student Engagement

    4.7
    Rating, 4.7 out of 5 stars
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    354 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Packt

    Learning Google Apps Script - Automate Google Apps

    Skills you'll gain: Scripting, Email Automation, Google Workspace, Google Sheets, Automation, Spreadsheet Software, Gmail, Javascript, Hypertext Markup Language (HTML), Web Applications, Application Design, Application Development, Application Programming Interface (API)

    Intermediate · Course · 1 - 3 Months

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    National Taiwan University

    Learning Chinese : Start From Scratch (零到一學中文)

    Skills you'll gain: Language Learning, Vocabulary, Grammar, Language Competency, Oral Comprehension

    4.5
    Rating, 4.5 out of 5 stars
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    553 reviews

    Beginner · Course · 1 - 3 Months

Searches related to math for machine learning

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1…596061…834

In summary, here are 10 of our most popular math for machine learning courses

  • z/Architecture Assembler Language Pt 2: Machine Instructions: IBM
  • Foundations of Deep Learning and Neural Networks: Packt
  • Étudier en France: French Intermediate course B1-B2: École Polytechnique
  • Utilizing Engaging Assessment with Boom Learning: Coursera
  • Deep Learning - Recurrent Neural Networks with TensorFlow: Packt
  • C++ Crash Course - Quick and Practical Learning: Packt
  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • ReactJS Development and Project-Based Learning: Packt
  • Advanced Chatbots with Deep Learning and Python: Packt
  • New Learning: Principles and Patterns of Pedagogy : University of Illinois Urbana-Champaign

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