Machine Learning
Showing 181–192 of 233 results
Monitoring Machine Learning Concepts
Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.
Monitoring Machine Learning in Python
This course covers everything you need to know to build a basic machine learning monitoring system in Python
Multi-modal RAGs
Learn effective ways to build a RAG system. This course will teach techniques for retrieving and integrating information from multiple modalities, such as text, images, and videos in RAG systems.
Object Detection Recognition and Tracking
Computer vision applications can automate and enhance the analysis and interpretation of visual data beyond human capabilities. This course will teach you how image classifiers can perform object detection recognition and tracking using Tensorflow.
OpenAI Prompt Engineering for Improved Performance
This course teaches you how to use proven prompt engineering techniques to obtain better results from ChatGPT to maximize application performance.
OpenAI: Prompt Engineering Best Practices
OpenAI’s models are mind-blowingly impressive, even with the simplest of prompts. But they’ve even more impressive with better input. This course will teach you how to create more effective prompts by implementing OpenAI’s best practices.
Optimize Model Training with Hyperparameter Tuning
Machine learning models are of critical business importance, and hyperparameters allow us to converge on more accurate models faster. This course will teach you how to understand and optimize hyperparameters by tuning them.
Optimizing Neural Networks for Efficient Data Processing
Learn to optimize neural networks for efficiency and performance. This course will teach you how to reduce model size and improve performance using the right techniques.
Perform Predictive Modeling with MATLAB
In this course, you'll run through everything involved while working on a machine learning problem with MATLAB - from data cleaning to model training, which will elevate your understanding of one of the most popular career choices!
Performing Experiments in Python
Learn about experimental design, and how to explore your data to ask and answer meaningful questions.
Play by Play: Machine Learning Exposed
In this course, you’ll explore machine learning topics, such as supervised learning, unsupervised learning, reinforcement learning, and deep learning.
Practical Guide to Neural Network Training: Working with Leading Frameworks
Today’s deep learning frameworks make it easier than ever to work with neural networks. This course will teach you how to efficiently build and train a neural network, while evaluating and addressing some common challenges.