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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


  • P

    Packt

    Deep Learning - Crash Course 2023

    Skills you'll gain: Deep Learning, Tensorflow, Keras (Neural Network Library), Matplotlib, NumPy, Artificial Neural Networks, Python Programming, Pandas (Python Package), Data Science, Artificial Intelligence, Data Preprocessing, Machine Learning, Data Manipulation, Model Evaluation, Classification Algorithms

    Beginner · Course · 3 - 6 Months

  • C

    Coursera

    Curso Completo de Deep Learning

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Machine Learning, Data Preprocessing, Model Evaluation

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Supervised Learning Regression Classification Clustering

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Regression Analysis, Classification Algorithms, Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Decision Tree Learning, Predictive Analytics, Logistic Regression, Random Forest Algorithm, Bayesian Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    A Complete Reinforcement Learning System (Capstone)

    Skills you'll gain: Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), Simulations, Model Evaluation, Performance Testing, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Markov Model, Algorithms, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    649 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing Data for Analysis with Microsoft Excel

    Skills you'll gain: Excel Formulas, Microsoft Excel, Power BI, Spreadsheet Software, Timelines, Data Processing, Data Analysis, Data Manipulation, Data Presentation, Data Cleansing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Natural Language Processing, Data Preprocessing, Artificial Neural Networks, Transfer Learning, Recurrent Neural Networks (RNNs), Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Model Evaluation, Data Transformation

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Human Resources (HR) Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Responsible AI, HR Tech, Human Resources Management and Planning, Human Resources, Workforce Planning, Human Resource Strategy, LLM Application, AI Enablement, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI Workflows, AI Personalization, Employee Engagement, Recruitment, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Transfer Learning, Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Convolutional Neural Networks, Data Preprocessing, Model Deployment, Computer Vision, Geospatial Information and Technology, Machine Learning, Data Pipelines, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    682 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Neuronale Netze und Deep Learning

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Deep Learning, Autoencoders, Tensorflow, Recurrent Neural Networks (RNNs), Machine Learning Methods, Generative AI, Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Model Evaluation, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Fundamentals of Digital Design for VLSI Chip Design

    Skills you'll gain: Field-Programmable Gate Array (FPGA), Application Specific Integrated Circuits, Computational Logic, Computer Architecture, Hardware Design, Electronic Hardware, Electronics Engineering, Electronics, Theoretical Computer Science, Programmable Logic Controllers, Microarchitecture, Electronic Systems, Semiconductors, Electronic Components, Data Storage, Data Storage Technologies

    4.5
    Rating, 4.5 out of 5 stars
    ·
    124 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Support Interactive Learning with Genially

    Skills you'll gain: Interactive Learning, Education Software and Technology, End User Training and Support, Virtual Environment

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

Searches related to math for machine learning

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

  • Deep Learning - Crash Course 2023: Packt
  • Curso Completo de Deep Learning: Coursera
  • Supervised Learning Regression Classification Clustering: Simplilearn
  • A Complete Reinforcement Learning System (Capstone): University of Alberta
  • Preparing Data for Analysis with Microsoft Excel: Microsoft
  • Deep Learning: Build & Optimize Neural Networks: EDUCBA
  • Generative AI for Human Resources (HR) Professionals: IBM
  • AI Capstone Project with Deep Learning : IBM
  • Neuronale Netze und Deep Learning: DeepLearning.AI
  • Deep Learning with Keras and Tensorflow: IBM

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