Machine Learning Courses and Certifications

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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• 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 7 minutes
• On-Demand
• 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
• On-Demand
• 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
• On-Demand
• Paid Course

State Bank of India

Introduction to Machine Learning for Finance

Explore machine learning in finance: data analysis, supervised/unsupervised learning, NLP, time series forecasting. Gain practical skills for banking innovation and ethical AI implementation.

• edX
• 4 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

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
• On-Demand
• 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
• On-Demand
• Paid Course

Four Rare Machine Learning Skills All Data Scientists Need

Explore four critical yet often overlooked machine learning skills: uplift modeling, accuracy fallacy, p-hacking, and ensemble models. Gain essential conceptual knowledge for successful data science projects.

• Coursera
• 5 hours 32 minutes
• On-Demand
• Paid Course

Coursera

Machine Learning in Retail

Explore customer segmentation using machine learning techniques to gain actionable insights for retail businesses. Learn to analyze purchase data and extract valuable business intelligence.

• Coursera
• 5 hours 37 minutes
• On-Demand
• 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
• On-Demand
• Paid Course

Edureka

Applied Machine Learning with Python

Master practical machine learning with Python, from supervised and unsupervised algorithms to recommendation systems. Build classification models, implement regression, and create clustering solutions through hands-on exercises.

• Coursera
• 14 hours 19 minutes
• On-Demand
• Paid Course