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.

Skills you'll gain: Model Training, Machine Learning Methods, Predictive Modeling, Applied Machine Learning, Machine Learning Algorithms, Probability Distribution, Machine Learning, Analytics, Data Analysis, Analysis, Data Processing
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Machine Learning Algorithms, AWS SageMaker, Applied Machine Learning, Model Evaluation, Model Deployment, Data Preprocessing, Data Transformation, Machine Learning Methods, Amazon Web Services, Data Processing, Machine Learning, Model Training, Cloud Deployment, Data Storage Technologies, Amazon S3, Model Optimization, Amazon Elastic Compute Cloud, Data Storage, AWS CloudFormation, AWS Identity and Access Management (IAM)
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Plot (Graphics), Scientific Visualization, Statistical Visualization, Mathematical Software, Data Manipulation, Jupyter, Python Programming, Numerical Analysis, Data Wrangling, Data Science, Other Programming Languages, Java, R Programming, Interoperability, Java Programming, Programming Principles, Computer Programming, Development Environment, C (Programming Language), Machine Learning
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Model Training, Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Data Wrangling, Model Optimization, Amazon Redshift, Amazon Elastic Compute Cloud, Amazon CloudWatch, Application Deployment, AWS Kinesis, Data Pipelines, Extract, Transform, Load, Regression Analysis, Containerization, Box Plots
Intermediate · Course · 1 - 4 Weeks

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 Model, Network Architecture, Algorithms, Probability Distribution
Build toward a degree
Intermediate · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Google Cloud Platform, Model Deployment, MLOps (Machine Learning Operations), Model Training, Tensorflow, Model Optimization, Systems Architecture, Applied Machine Learning, Performance Tuning, Software Architecture, Machine Learning, Model Evaluation, Distributed Computing, Hybrid Cloud Computing, Data Processing, Dependency Analysis
Advanced · Course · 1 - 3 Months

Google Cloud
Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Machine Learning Software, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Finance
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Health Informatics, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Data Science, Statistical Modeling, Predictive Modeling, Machine Learning Methods, Exploratory Data Analysis, Machine Learning, Data Analysis, Applied Machine Learning, Machine Learning Software, Feature Engineering, Random Forest Algorithm, Supervised Learning, Logistic Regression, Data Processing, Model Optimization, Data Manipulation, Data Visualization
Intermediate · Course · 1 - 4 Weeks

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
Intermediate · Course · 1 - 4 Weeks

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
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Artificial Neural Networks, Transfer Learning, Unsupervised Learning, Tensorflow, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Generative Model Architectures, Image Analysis, Logistic Regression, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Applied Machine Learning
Intermediate · Professional Certificate · 3 - 6 Months