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
The Hong Kong University of Science and Technology
Skills you'll gain: Bayesian Statistics
Skills you'll gain: Data Manipulation, Data Wrangling, AI Personalization, Model Evaluation, Applied Machine Learning, Data Preprocessing, Machine Learning Methods, Data Cleansing, Statistical Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Model Training, Taxonomy, Text Mining, Data Analysis, Artificial Intelligence, Deep Learning
Google Cloud
Skills you'll gain: Data Preprocessing, Model Evaluation, Applied Machine Learning, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Analytics, Data Manipulation, Predictive Analytics, Model Training, Predictive Modeling, Machine Learning, Data Access, Exploratory Data Analysis, SQL
Skills you'll gain: Exploratory Data Analysis, Model Evaluation, Data Collection, Model Deployment, Data Ethics, Machine Learning Software, Model Training, Feature Engineering, Data Cleansing, Responsible AI, Machine Learning Methods, Applied Machine Learning, Data Analysis, Statistical Analysis, Machine Learning, Statistical Methods, Application Deployment, Generative AI, Data Preprocessing, Continuous Monitoring
Skills you'll gain: Plot (Graphics), Mathematical Software, Data Manipulation, Jupyter, Python Programming, Numerical Analysis, Data Wrangling, Data Science, Java, R Programming, Interoperability, Java Programming, Programming Principles, Computer Programming, Development Environment, Statistical Analysis, Scripting Languages, C (Programming Language), Data Structures, Machine Learning
Dartmouth College
Skills you'll gain: Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Convolutional Neural Networks, Deep Learning, Tensorflow, Model Training, Model Optimization, Machine Learning, Applied Machine Learning, Bayesian Statistics, Machine Learning Algorithms, Model Evaluation, Network Architecture, Probability Distribution
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Model Evaluation, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Statistical Analysis, Statistical Modeling, R Programming, Machine Learning, GitHub
Fundação Instituto de Administração
Skills you'll gain: Data-Driven Marketing, Big Data, Data Mining, Data-Driven Decision-Making, Marketing Automation, Marketing Strategies, Data Strategy, Customer experience strategy (CX), Digital Transformation, Data Engineering, Marketing Analytics, Marketing, MarTech, Analytics, Data Science, Innovation, Digital Brand Strategy, Applied Machine Learning, Data Processing, Marketing Effectiveness
Universidades Anáhuac
Skills you'll gain: Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting, Predictive Analytics, Model Training, Statistical Modeling, Data Modeling, Forecasting, Model Optimization, Supervised Learning, Applied Machine Learning, Regression Analysis, Feature Engineering, Machine Learning Methods, Data Preprocessing, Unsupervised Learning, Machine Learning, Machine Learning Algorithms, Logistic Regression, Classification Algorithms
UNSW Sydney (The University of New South Wales)
Skills you'll gain: Teaching, Digital pedagogy, Learning Management Systems, Education Software and Technology, Technology Strategies, Planning, digital literacy, Content Management
University of California San Diego
Skills you'll gain: Graph Theory, Logical Reasoning, Cryptographic Protocols, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Probability & Statistics, Programming Principles, Network Analysis, Theoretical Computer Science, Bayesian Statistics, Python Programming, Cybersecurity, Algorithms, Arithmetic
Edge Impulse
Skills you'll gain: Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Artificial Neural Networks, Embedded Systems, Deep Learning, Model Deployment, Data Ethics, Responsible AI, Model Training, Machine Learning, Computer Programming, Classification Algorithms, Model Evaluation, Python Programming
In summary, here are 10 of our most popular math for machine learning courses
- Discrete Math for Computer Science - Counting & Probability: The Hong Kong University of Science and Technology
- Recommender Systems with Machine Learning: Packt
- Bracketology with Google Machine Learning: Google Cloud
- Building a Machine Learning Solution: Coursera
- Julia Programming for Data Science and Machine Learning: Packt
- Machine Learning with Neural Networks: Dartmouth College
- Data Science: Statistics and Machine Learning: Johns Hopkins University
- Machine Learning Aplicado ao Marketing: Fundação Instituto de Administração
- Modelos predictivos con Machine Learning: Universidades Anáhuac
- Learning to Teach Online: UNSW Sydney (The University of New South Wales)
