Machine Learning Courses and Certifications

Machine Learning Fundamentals

Discover supervised machine learning fundamentals, from linear regression to classification models, regularization techniques, and performance evaluation using ROC curves.

• Coursera
• 1 day 10 hours 7 minutes
• Self-Paced
• Paid Course

Machine Learning Algorithms

Explore key machine learning algorithms: Naïve Bayes, Support Vector Machine, Decision Tree, and Clustering. Gain practical understanding and implementation skills in Python.

• Coursera
• 15 hours 56 minutes
• Self-Paced
• Paid Course

Machine Learning

Master Python-based machine learning from fundamentals to deep learning, covering scikit-learn, TensorFlow, neural networks, and real-world applications with text and image data.

• Coursera
• 1 day 12 hours 2 minutes
• Self-Paced
• Paid Course

Using R for Regression and Machine Learning in Investment

Learn regression and machine learning techniques for investment analysis using R, covering backtesting, risk assessment, and factor models to enhance decision-making in financial markets.

• Coursera
• 17 hours 27 minutes
• Self-Paced
• Paid Course

Machine Learning for Healthcare Professionals

Explore data mining in healthcare, from theoretical foundations to practical applications, focusing on real-world problem-solving using contemporary software and basic programming skills.

• Coursera
• 12 hours 8 minutes
• Self-Paced
• Paid Course

Machine Learning for Engineers: Algorithms and Applications

Master practical machine learning algorithms through hands-on implementation in Python and PyTorch, covering supervised and unsupervised learning techniques for real-world applications in computer vision, NLP, and robotics.

• Coursera
• 17 hours 31 minutes
• Self-Paced
• Paid Course

Machine Learning with Small Data Part 1

Discover modern deep learning techniques for training effective models with limited datasets, addressing challenges in healthcare, military, and industry applications.

• Coursera
• 14 hours 21 minutes
• Self-Paced
• Paid Course

Machine Learning and Data Analytics Part 1

Dive into data mining fundamentals, exploring preprocessing, classification, clustering, and regression techniques through hands-on projects and real-world case studies.

• Coursera
• 15 hours 20 minutes
• Self-Paced
• Paid Course

Introduction to Machine Learning and Algorithmic Bias

Explore AI and machine learning fundamentals while mastering algorithmic bias detection and mitigation strategies for responsible business applications.

• Coursera
• 6 hours 48 minutes
• Self-Paced
• Paid Course

Machine Learning and Data Analytics Part 2

Explore advanced data mining techniques including clustering, neural networks, SVMs, and text mining with real-world applications across engineering sectors.

• Coursera
• 18 hours 25 minutes
• Self-Paced
• Paid Course

Machine Learning with Small Data Part 2

Master advanced ML techniques for limited datasets: multi-task learning, meta-learning, NeRF, diffusion models, and 3D Gaussian Splatting for real-world data constraints.

• Coursera
• 11 hours 34 minutes
• Self-Paced
• Paid Course

Machine Learning for Smart Beta

Explore smart beta products, recreate MSCI Enhanced Value Index, and apply machine learning techniques to create improved multi-factor models for investment strategies using R programming.

• Coursera
• 7 hours 30 minutes
• Self-Paced
• Paid Course

Packt

Foundations of Data Science and Machine Learning with Python

Master Python, data analysis, and machine learning fundamentals. Explore advanced algorithms and deep learning for NLP applications. Develop skills for implementing and optimizing ML models in NLP tasks.

• Coursera
• 18 hours 56 minutes
• Self-Paced
• Paid Course

CertNexus

Train Machine Learning Models

Aprende conceptos básicos de machine learning, prueba hipótesis, y entrena, ajusta y evalúa modelos para clasificación, regresión y clustering. Requiere conocimientos en tecnología informática y programación.

• Coursera
• 1 day 4 hours 39 minutes
• Self-Paced
• Paid Course

Coursera

Advanced Machine Learning Techniques

Master ensemble methods, dimensionality reduction, NLP, reinforcement learning, and AutoML using industry-standard tools like Scikit-learn, XGBoost, and PyTorch for real-world AI applications.

• Coursera
• 1 day 9 hours 42 minutes
• Self-Paced
• Paid Course