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  • Mathematics For Machine Learning

Mathematics for Machine Learning Courses

Mathematics for machine learning courses can help you learn linear algebra, calculus, probability, and statistics. You can build skills in optimization techniques, data analysis, and algorithm development. Many courses introduce tools like Python libraries such as NumPy and SciPy, that support implementing mathematical concepts in AI applications. You'll also explore key topics like regression analysis, dimensionality reduction, and neural networks, all of which are crucial for developing effective machine learning models.

Popular Mathematics for Machine Learning Courses and Certifications


  • U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Fine-tuning, Model Training, Vision Transformer (ViT), Model Optimization, Large Language Modeling, Embeddings, Network Architecture, Linear Algebra

    ★ 4.6 (39) · Intermediate · Specialization · 3 - 6 Months

    Category: Hot New Release
    Hot New Release
  • C

    Commonwealth Education Trust

    Foundations of Teaching for Learning: Planning for Teaching and Learning

    Skills you'll gain: Growth Mindedness, Teaching, Lesson Planning, Pedagogy, Trustworthiness, Student Engagement, Instructional Strategies, Interactive Learning, Personal Development, Learning Theory, Curriculum Planning, Lifelong Learning, Rapport Building, Goal Setting, Relationship Building, Professional Development, Planning, Curiosity, Student-Centred Learning, Collaboration

    ★ 4.8 (306) · Mixed · Course · 1 - 3 Months

  • P

    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Fine-tuning, Transfer Learning, Deep Learning, Machine Learning Methods, Applied Machine Learning, Seaborn, Statistical Modeling, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • D

    DeepLearning.AI

    AI for Medicine

    Skills you'll gain: Model Evaluation, Patient Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Data Preprocessing, Classification And Regression Tree (CART), Risk Modeling, Statistical Methods, Treatment Planning, Data Analysis, Diagnostic Tests, Precision Medicine, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Image Analysis, Statistical Machine Learning, Machine Learning

    ★ 4.7 (2.5K) · Intermediate · Specialization · 1 - 3 Months

  • A

    AI CERTs

    AI for Learning & Development 

    Skills you'll gain: Responsible AI, AI Personalization, Education Software and Technology, Generative AI Agents, Developing Training Materials, AI Enablement, Workforce Development, Artificial Intelligence and Machine Learning (AI/ML), Performance Analysis, Learning Management Systems, Generative AI, Instructional Design, AI literacy, HR Tech, Content Creation, Learning Styles, Learning Theory, Human Learning, Learning Strategies, Childhood Education and Development

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Pengantar AI dan Machine Learning di Google Cloud

    Skills you'll gain: Generative AI, Google Gemini, Generative AI Agents, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, AI Workflows, Cloud Infrastructure, AI literacy, Data Infrastructure, Artificial Intelligence, Large Language Modeling, Model Training, Model Deployment, Applied Machine Learning, Model Evaluation, Predictive Modeling, Machine Learning

    Beginner · Course · 1 - 3 Months

  • W

    Whizlabs

    Exam Prep MLA-C01: AWS Machine Learning Engineer Associate

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Optimization, AWS Kinesis, Fraud detection, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning

    ★ 3.9 (10) · Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud en Français

    Skills you'll gain: Feature Engineering, Model Optimization, Tensorflow, Google Cloud Platform, Model Training, Exploratory Data Analysis, Business Metrics, Keras (Neural Network Library), Data Preprocessing, Data Quality, Model Evaluation, Logistic Regression, Applied Machine Learning, Data Pipelines, Data Cleansing, Data Processing, Machine Learning Methods, Model Deployment, Machine Learning Software, Performance Tuning

    ★ 4.2 (31) · Intermediate · Specialization · 3 - 6 Months

  • N

    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Model Training, Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Model Evaluation

    ★ 3.5 (250) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)

    ★ 4.7 (417) · Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Random Forest Algorithm, Predictive Modeling, Predictive Analytics, Machine Learning Algorithms, Plot (Graphics), Data Visualization, Data Preprocessing, Machine Learning, Programming Principles, Data Manipulation, Data Cleansing, Data Transformation, Supervised Learning, Python Programming, Data Science, Model Training, Decision Tree Learning, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    The Mathematics of Democracy, Politics and Manipulation

    Skills you'll gain: Political Sciences, Policy Analysis, Social Justice, Economics, Policy, and Social Studies, Public Affairs, Social Sciences, Public Policies, Game Theory, Demography, Mathematical Modeling, Decision Intelligence, General Mathematics, Diversity Awareness, Logical Reasoning, Applied Mathematics

    ★ 4.7 (27) · Mixed · Course · 1 - 3 Months

1…323334…834

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

  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
  • Foundations of Teaching for Learning: Planning for Teaching and Learning: Commonwealth Education Trust
  • Machine Learning, Data Science and Generative AI with Python: Packt
  • AI for Medicine: DeepLearning.AI
  • AI for Learning & Development : AI CERTs
  • Pengantar AI dan Machine Learning di Google Cloud: Google Cloud
  • Exam Prep MLA-C01: AWS Machine Learning Engineer Associate: Whizlabs
  • Machine Learning with TensorFlow on Google Cloud en Français: Google Cloud
  • Reinforcement Learning for Trading Strategies: New York Institute of Finance
  • Build a Machine Learning Web App with Streamlit and Python: Coursera

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