AI & Robotic
Showing 1117–1128 of 1355 results
Predict stock prices with LSTM in PyTorch
Dive into predicting stock prices using Long Short-Term Memory (LSTM) networks in PyTorch. Learn how to build and train LSTM models to analyze time series data and predict future stock market trends with deep learning.
Predicting CTR with Machine Learning in Python
Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.
Prepare to develop AI solutions on Azure
As an aspiring Azure AI Engineer, you should understand core concepts and principles of AI development, and the capabilities of Azure services used in AI solutions.
Preparing Data for Machine Learning with Java
Data is at the heart of machine learning. This course will teach you how to bring data into Java from various sources, as well as how to perform basic tidying up and transformations in view of further processing by specialized Java ML libraries.
Preparing Data with Generative AI
Data preparation can be time-consuming and error-prone. This course will teach you how to use Generative AI tools like ChatGPT and Claude to automate and enhance data preparation tasks, making your data analysis more efficient and reliable.
Preprocessing for Machine Learning in Python
Learn how to clean and prepare your data for machine learning!
Prevent Overfitting in Model Training
Overfitting can have significant adverse impacts on the performance and generalization ability of a machine learning model. This course will teach you various techniques to overcome this problem and develop a model that performs well on unseen data.
Production Machine Learning Systems
This course covers how to implement the various flavors of production ML systems— static, dynamic, and continuous training; static and dynamic inference; and batch and online processing. You delve into TensorFlow abstraction levels, the various options for doing distributed training, and how to write distributed training models with custom estimators.
Programming Discrete Math Concepts for Beginners
A beginner-friendly guide to programming concepts in discrete mathematics, covering essential topics and practical applications in computer science.
Programming Transformer Neural Networks with PyTorch
Learn to build and train transformer models using the PyTorch library for natural language processing tasks.
Projects in Data Science Using R
Master one of the most in-demand fields i.e. Data Science by building projects with this one of a kind online tutorial.
Prompt Engineering Best Practices
This course will cover the craft of prompt engineering to elevate your AI capabilities. You'll gain expertise in designing effective prompts, managing model outputs, minimizing repetition, and enhancing model performance, without prior experience.