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 TrialFractal Analytics
Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, AI Security, Management Consulting, Business Consulting, Consulting, AI Enablement, Data Ethics, Technical Consulting, Quality Assurance, Market Research, Data-Driven Decision-Making, Automation
Status: Free TrialRice University
Skills you'll gain: Capital Budgeting, Cash Flows, Finance, Financial Analysis, Business Valuation, Return On Investment, Financial Management, Corporate Finance, Case Studies, Investment Management, Risk Analysis, Financial Accounting, Capital Markets
Skills you'll gain: Generative AI, Google Cloud Platform, Tensorflow, Artificial Intelligence, AI Workflows, Model Deployment, Big Data, Machine Learning, Prompt Engineering, Natural Language Processing
Status: Free TrialPeking University
Skills you'll gain: Language Learning, Language Competency, Vocabulary, Grammar, Oral Comprehension
Skills you'll gain: Microsoft Excel, Spreadsheet Software, Data Entry, Microsoft Office, Data Analysis Software
Skills you'll gain: Google Cloud Platform, Generative AI, MLOps (Machine Learning Operations), Model Deployment, Tensorflow, AI Workflows, Artificial Intelligence, Cloud Infrastructure, Machine Learning, Natural Language Processing
Status: Free TrialJohns Hopkins University
Skills you'll gain: Generative Adversarial Networks (GANs), Anomaly Detection, AI Security, Generative AI, Fraud detection, Intrusion Detection and Prevention, Model Evaluation, Malware Protection, Cyber Threat Hunting, Cybersecurity, Threat Detection, Cyber Threat Intelligence, Feature Engineering, Network Analysis, Cyber Attacks, Cyber Security Strategy, Applied Machine Learning, Email Security, Network Security, Jupyter
Status: Free TrialCorporate Finance Institute
Skills you'll gain: SQL, Databases, Data Manipulation, Data Analysis, Data Cleansing, Relational Databases, Data Access, Data Synthesis, Query Languages, Data Warehousing, Data Transformation
Status: Free TrialUniversity of Michigan
Skills you'll gain: Programming Principles, Computer Programming, Python Programming, Computational Thinking, Software Installation, Development Environment
Skills you'll gain: Data Import/Export, Data Analysis, Data Visualization, Programming Principles, Python Programming
Peking University
Skills you'll gain: Oral Comprehension, Writing, Vocabulary, Language Competency, Literacy, Grammar, Language Learning
Status: Free TrialSkills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Large Language Modeling, Responsible AI, AI Security, Data Ethics, Artificial Intelligence, Software Testing, Software Development, DevSecOps, CI/CD, Natural Language Processing, Real Time Data, Software Engineering, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Personalization, Software Architecture
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In summary, here are 10 of our most popular math for machine learning courses
- Generative AI for Consultants: Fractal Analytics
- Finance for Non-Finance Professionals: Rice University
- Introduction to AI and Machine Learning on GC - 繁體中文: Google Cloud
- Chinese for HSK 2: Peking University
- Excel for Beginners: Introduction to Spreadsheets: Coursera
- Introduction to AI and Machine Learning on GC - 简体中文: Google Cloud
- AI for Cybersecurity: Johns Hopkins University
- SQL Fundamentals for Data Analysts: Corporate Finance Institute
- Programming for Everybody (Getting Started with Python): University of Michigan
- Python for Beginners: Variables and Strings: Coursera
