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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


  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Machine Learning with Python: Diabetes Prediction

    Skills you'll gain: Jupyter, Data Transformation, Logistic Regression, Health Informatics, Applied Machine Learning, Data Preprocessing, Machine Learning, Data Processing, Model Evaluation, Predictive Modeling, Predictive Analytics, Diagnostic Tests, Analytics, Classification Algorithms, Software Installation

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Fake News Detection with Machine Learning

    Skills you'll gain: Recurrent Neural Networks (RNNs), Exploratory Data Analysis, Deep Learning, Text Mining, Plot (Graphics), Artificial Neural Networks, Data Cleansing, Data Import/Export, Data Preprocessing, Natural Language Processing, Model Training, Python Programming, Machine Learning, Automation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    265 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable machine learning applications: Part 3

    Skills you'll gain: Artificial Neural Networks, Tensorflow, Keras (Neural Network Library), Data-Driven Decision-Making, Applied Machine Learning, Machine Learning Software, Deep Learning, Machine Learning, Feature Engineering, Risking, Model Evaluation, Mortgage Loans, Consumer Lending

    4.5
    Rating, 4.5 out of 5 stars
    ·
    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    L

    LearnKartS

    Introduction to AI and Machine Learning

    Skills you'll gain: AWS SageMaker, Data Preprocessing, Computer Vision, Machine Learning Methods, AI Workflows, Machine Learning Algorithms, Applied Machine Learning, Natural Language Processing, Machine Learning, Data Wrangling, Amazon Web Services, Reinforcement Learning, Deep Learning, Artificial Intelligence, Model Training, Amazon Elastic Compute Cloud, Model Deployment, Amazon S3, Serverless Computing

    4.1
    Rating, 4.1 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Employee Attrition Prediction Using Machine Learning

    Skills you'll gain: Data Preprocessing, Data Visualization, Logistic Regression, Feature Engineering, Statistical Visualization, Data Processing, Data Cleansing, Data Wrangling, People Analytics, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Science, Applied Machine Learning, Model Training, Statistical Modeling, Statistical Machine Learning, Regression Analysis, Supervised Learning, Model Evaluation, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    H

    HRCI

    Learning and Development

    Skills you'll gain: Training and Development, Training Programs, Employee Training, Developing Training Materials, Adult Education, Drive Engagement, Employee Engagement, Compliance Training, Instructional Design, Workforce Development, On-The-Job Training, Organizational Development, Needs Assessment, Program Evaluation, Professional Development, Learning Styles

    4.8
    Rating, 4.8 out of 5 stars
    ·
    861 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Production Machine Learning Systems - Français

    Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Model Training, Tensorflow, Model Evaluation, Systems Architecture, Model Optimization, Data Validation, Distributed Computing, Performance Tuning, Data Pipelines

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Titanic Survival Prediction Using Machine Learning

    Skills you'll gain: Feature Engineering, Data Cleansing, Data Visualization, Data Preprocessing, Logistic Regression, Model Training, Predictive Modeling, Statistical Machine Learning, Applied Machine Learning, Data Processing, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Machine Learning Methods, Model Evaluation, Classification Algorithms, Data Science, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Cloud Engineering, Google Cloud Platform, Model Deployment, Cloud Applications, Cloud API, Cloud Deployment, Artificial Intelligence, Machine Learning, Microsoft Azure, Model Training, AI Workflows, Software Engineering, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    92 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with PySpark: Recommender System

    Skills you'll gain: PySpark, Apache Spark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI API, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Embeddings, Machine Learning

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Machine Learning: Algorithms in the Real World

    Skills you'll gain: Supervised Learning, Data Preprocessing, Feature Engineering, Model Optimization, Responsible AI, Machine Learning Algorithms, Data Ethics, Applied Machine Learning, Model Evaluation, Data Quality, Machine Learning Methods, Classification Algorithms, Model Training, MLOps (Machine Learning Operations), Model Deployment, Jupyter, Statistical Machine Learning, Data Validation, Machine Learning, Project Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Octave Machine Learning: Apply, Analyze & Build

    Skills you'll gain: Scalability, Time Series Analysis and Forecasting, File I/O, Predictive Modeling, Code Reusability, Programming Principles, Data Import/Export, Scripting, Data Analysis, Computational Logic, Applied Machine Learning

    Mixed · Course · 1 - 4 Weeks

1…222324…834

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

  • Machine Learning with Python: Diabetes Prediction: EDUCBA
  • Fake News Detection with Machine Learning: Coursera
  • Interpretable machine learning applications: Part 3: Coursera
  • Introduction to AI and Machine Learning: LearnKartS
  • Employee Attrition Prediction Using Machine Learning: Coursera
  • Learning and Development: HRCI
  • Production Machine Learning Systems - Français: Google Cloud
  • Titanic Survival Prediction Using Machine Learning: Coursera
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Machine Learning with PySpark: Recommender System: Coursera

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