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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


  • Status: Free Trial
    Free Trial
    P

    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), Model Training, Tensorflow, Network Architecture, Artificial Intelligence, Model Optimization, Machine Learning, Linear Algebra

    Intermediate · 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), Model Optimization, Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Model Training, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Text Mining, Artificial Neural Networks, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Time Series Analysis and Forecasting, Network Architecture, Data Science

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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
    ·
    203 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free
    Free
    C

    Coursera

    Azure: Create a Virtual Machine and Deploy a Web Server

    Skills you'll gain: Virtual Machines, Microsoft Azure, Infrastructure As A Service (IaaS), Cloud Infrastructure, Cloud Computing Architecture, Virtualization and Virtual Machines, Cloud Deployment, Firewall, Cloud Computing, Network Security, Virtual Networking, Web Servers, Network Administration, Remote Access Systems, Application Deployment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    225 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
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    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, Application Deployment, Applied Machine Learning, Fine-tuning, Computer Vision, Predictive Modeling, Model Evaluation, Machine Learning

    Intermediate · Course · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google Cloud

    Orchestrate ML Workflows with Vertex AI Pipelines

    Skills you'll gain: MLOps (Machine Learning Operations), AI Orchestration, AI Workflows, Data Pipelines, Model Deployment, Agentic Workflows, Generative AI Agents, Google Cloud Platform, Forecasting, Model Training, Agentic systems, Prompt Engineering, Automation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Build Robust Java ML Models with Entropy

    Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Decision Tree Learning, Data Preprocessing, Java Programming, Classification Algorithms, Predictive Modeling, Random Forest Algorithm, Applied Machine Learning, Java, Program Evaluation, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Algorithms, Program Implementation, Business Development

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    ML Pipelines on Google Cloud en Español

    Skills you'll gain: Apache Airflow, CI/CD, MLOps (Machine Learning Operations), Data Pipelines, Google Cloud Platform, Model Deployment, Continuous Deployment, Tensorflow, Metadata Management, Model Training, Model Optimization

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Teacher and Social and Emotional Learning (SEL)

    Skills you'll gain: Teaching, Social Justice, Emotional Intelligence, Social Skills, Empathy, Self-Awareness, Higher Education, Behavior Management, Classroom Management, Cultural Responsiveness, Curriculum Planning, School Psychology, Empowerment, Personal Development, Childhood Education and Development, Program Evaluation, Advocacy, Professional Development, Growth Mindedness, Mindfulness

    4.7
    Rating, 4.7 out of 5 stars
    ·
    980 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Fine-tune Multimodal Models with Transfer Learning

    Skills you'll gain: Model Optimization, Fine-tuning, Multimodal Prompts, Generative Model Architectures, PyTorch (Machine Learning Library), Model Training, Data Processing, Tensorflow, Knowledge Transfer, Keras (Neural Network Library), Deep Learning, Artificial Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning: Convolutional Neural Networks with TensorFlow

    Skills you'll gain: Transfer Learning, Keras (Neural Network Library), Fine-tuning, Embeddings, Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Data Preprocessing, Model Optimization, Model Training

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    E

    EDUCBA

    Deep Learning with R: Build & Predict Neural Networks

    Skills you'll gain: Plot (Graphics), Statistical Visualization, R (Software), R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Wrangling, Data Manipulation, Machine Learning Methods, Model Training, Applied Machine Learning

    Mixed · Course · 1 - 4 Weeks

1…757677…834

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

  • Foundations of Deep Learning and Neural Networks: Packt
  • Deep Learning: Recurrent Neural Networks with Python: Packt
  • Mathematics for Engineering: Birla Institute of Technology & Science, Pilani
  • Azure: Create a Virtual Machine and Deploy a Web Server: Coursera
  • Deep Learning with Keras and Practical Applications: Packt
  • Orchestrate ML Workflows with Vertex AI Pipelines: Google Cloud
  • Build Robust Java ML Models with Entropy: Coursera
  • ML Pipelines on Google Cloud en Español: Google Cloud
  • The Teacher and Social and Emotional Learning (SEL): University of Colorado Boulder
  • Fine-tune Multimodal Models with Transfer Learning: Coursera

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