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  • Math For Machine Learning

Math For Machine Learning Courses

Courses in Math for Machine Learning can help you learn linear algebra, calculus, probability, and statistics. You can build skills in data analysis, model evaluation, and algorithm optimization. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI and artificial intelligence projects. You'll also explore techniques like gradient descent and matrix factorization, which are crucial for developing effective machine learning models.

Popular Math For Machine Learning Courses and Certifications


  • E

    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Model Training, Data Preprocessing, Model Optimization, Model Evaluation, Data Processing, Development Environment, Predictive Analytics, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Illinois Urbana-Champaign

    Literacy Teaching and Learning: Aims, Approaches and Pedagogies

    Skills you'll gain: Teaching, Differentiated Instruction, Pedagogy, Literacy, Instructional Strategies, Human Learning, Culture, Education and Training, Cultural Diversity, Learning Theory, Multimedia, Student-Centred Learning, Media and Communications

    4.6
    Rating, 4.6 out of 5 stars
    ·
    135 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Amsterdam

    Logic for Economists

    Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, General Mathematics, Theoretical Computer Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    300 reviews

    Advanced · Course · 1 - 3 Months

  • P

    Packt

    Learning Cloud Architecture - From Ideas to Practical Design

    Skills you'll gain: Cloud Computing Architecture, Cloud Applications, Software Architecture, Solution Architecture, Cloud Computing, Systems Design, Scalability, Cloud Infrastructure, System Design and Implementation, Distributed Computing, Web Applications, Cloud Security, Live Streaming, Cloud Storage, Functional Requirement, Amazon Web Services, Requirements Analysis, Real Time Data, Algorithms, Data Storage

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Utilizing Engaging Assessment with Boom Learning

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

    4.3
    Rating, 4.3 out of 5 stars
    ·
    12 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • U

    University of California, Irvine

    Learn English: Beginning Grammar

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

    4.9
    Rating, 4.9 out of 5 stars
    ·
    5.2K reviews

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    Deep Learning: Recurrent Neural Networks with Python

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

    Beginner · Specialization · 1 - 3 Months

  • 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, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Predictive Modeling, Machine Learning, Decision Tree Learning, Regression Analysis

    4
    Rating, 4 out of 5 stars
    ·
    12 reviews

    Beginner · Specialization · 1 - 3 Months

  • B

    Birla Institute of Technology & Science, Pilani

    Mathematics for Engineering

    Skills you'll gain: Data Analysis, Computational Logic, Integral Calculus, Trigonometry, Linear Algebra, Engineering Analysis, Logical Reasoning, Deductive Reasoning, Probability & Statistics, Statistical Analysis, Calculus, Statistical Methods, Analysis, Advanced Mathematics, Bayesian Statistics, Statistical Inference, Theoretical Computer Science, Mathematics and Mathematical Modeling, Numerical Analysis, Descriptive Analytics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    197 reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Model Optimization, Data Processing, Transfer Learning, Data Analysis, Model Training, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Artificial Neural Networks, Computer Vision, Predictive Modeling, Model Evaluation, Machine Learning

    Intermediate · Course · 3 - 6 Months

  • P

    Packt

    Advanced Chatbots with Deep Learning and Python

    Skills you'll gain: Model Training, Deep Learning, Model Optimization, 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

  • I

    IBM

    z/Architecture Assembler Language Pt 2: Machine Instructions

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

    Intermediate · Course · 1 - 3 Months

1…646566…834

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

  • Deep Learning with ANN in Python: Build & Optimize: EDUCBA
  • Literacy Teaching and Learning: Aims, Approaches and Pedagogies: University of Illinois Urbana-Champaign
  • Logic for Economists: University of Amsterdam
  • Learning Cloud Architecture - From Ideas to Practical Design: Packt
  • Utilizing Engaging Assessment with Boom Learning: Coursera
  • Learn English: Beginning Grammar: University of California, Irvine
  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Mathematics for Engineering: Birla Institute of Technology & Science, Pilani
  • Deep Learning with Keras and Practical Applications: Packt

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