AI & Robotic
Showing 433–444 of 703 results
Introduction to Machine Learning
Learn the basics of machine learning, including algorithms, model evaluation, and real-world applications.
Introduction to machine learning
A high-level overview of machine learning for people with little or no knowledge of computer science and statistics. You'll learn some essential concepts, explore data, and interactively go through the machine learning lifecycle, using Python to train, save, and use a machine learning model, just like in the real world.
Introduction to Machine Learning in Hindi
Learn to build projects by leveraging your ML skills in Hindi
Introduction to Machine Learning with TensorFlow
Explore machine learning concepts and applications using the TensorFlow framework.
Introduction to MLflow
Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.
Introduction to MLOps for IoT Edge
Analyze the significance of MLOps in the development and deployment of machine learning models for IoT Edge. Describe the components of the MLOps pipeline and show how you can combine them to create models that can be retrained automatically for IoT Edge devices.
Introduction to Natural Language Processing
Gain insights into natural language processing techniques and their applications in understanding human language.
Introduction to Natural Language Processing in Python
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.
Introduction to Natural Language Processing in R
Gain an overview of all the skills and tools needed to excel in Natural Language Processing in R.
Introduction to Neural Networks with TensorFlow
Learn to design and implement neural networks using TensorFlow for deep learning applications.
Introduction to Next Gen Connectivity
Discover emerging connectivity technologies and their impact on communication and data transfer.
Introduction to NVIDIA DeepStream Graph Composer with Microsoft Azure
In this module, you'll learn how to set up and configure the NVIDIA DeepStream 6.0 Graph Composer on an X86-based Ubuntu 18.04 system to enable rapid development of Intelligent Video Analytics application pipelines for deployment to cloud and edge-capable devices.