Social And Emotional Learning Courses

Career Certificate

Machine Learning with TensorFlow on Google Cloud en Español

448 ratings at Coursera

Aprende a desarrollar modelos de aprendizaje automático escalables con TensorFlow en Google Cloud, desde la estrategia hasta la implementación, con énfasis en problemas prácticos y optimización.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Python and Machine Learning for Asset Management

332 ratings at Coursera

This course will enable you mastering machine-learning approaches in the area of investment management.

• Coursera
• 16 hours 24 minutes
• Self-Paced
• Paid Course

Coursera

Build a Machine Learning Web App with Streamlit and Python

417 ratings at Coursera

Create an interactive ML web app using Streamlit and Python, allowing users to choose algorithms and set parameters without coding, in under 100 lines of code.

• Coursera
• 2 hours
• Self-Paced
• Paid Course

Alberta Machine Intelligence Institute

Machine Learning Algorithms: Supervised Learning Tip to Tail

417 ratings at Coursera

Explore supervised learning techniques like decision trees, k-NN, and SVMs. Implement and analyze these algorithms on real business cases, gaining practical skills in data preparation and model evaluation.

• Coursera
• 9 hours 24 minutes
• Self-Paced
• Paid Course

Machine Learning Basics

93 ratings at Coursera

Explore fundamental machine learning concepts, including k-Nearest Neighbors, Linear Regression, and Logistic Regression. Gain practical skills for data analysis and predictive modeling.

• Coursera
• 14 hours 57 minutes
• Self-Paced
• Paid Course

Adobe

Social Media Content and Strategy

403 ratings at Coursera

Master social media content creation and strategy. Craft engaging posts, understand audience targeting, leverage analytics, and optimize across platforms for maximum impact.

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

Coursera

Sentiment Analysis with Deep Learning using BERT

398 ratings at Coursera

Learn to build a powerful sentiment analysis model using BERT, covering data analysis, model architecture, optimization, and performance monitoring for multi-class classification.

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

Machine Learning in Healthcare: Fundamentals & Applications

11 ratings at Coursera

Explore data mining in healthcare, from theoretical foundations to practical applications. Learn to select methods, use software, and address real-world challenges in data cleaning, transformation, and modeling.

• Coursera
• 18 hours 23 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 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

Statistical Learning for Engineering Part 1

Explore supervised and unsupervised machine learning algorithms, from linear regression to SVMs, with hands-on Python implementation for real-world engineering applications.

• Coursera
• 1 day 11 hours 38 minutes
• Self-Paced
• Paid Course

Statistical Learning for Engineering Part 2

Explore advanced machine learning algorithms including neural networks, clustering, dimensionality reduction, and reinforcement learning with hands-on Python implementation.

• Coursera
• 1 day 46 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

Foundations of Statistical Learning & Algorithms

Master fundamental mathematical concepts for machine learning through linear algebra, probability theory, and optimization techniques, focusing on practical applications and model evaluation methods.

• Coursera
• 21 hours 22 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