This will be a more advanced exploration of the libraries that developers will have been exposed to, deep learning, additional models, operationalization concerns of these systems, and the often-forgotten security aspects of data-driven systems.
DurationThis will be a more advanced exploration of the libraries that developers will have been exposed to, deep learning, additional models, operationalization concerns of these systems, and the often-forgotten security aspects of data-driven systems.
The goal will be to have as many hands-on activities as is feasible intermixed with a sufficient amount of theory to motivate the exercises.
Curriculum:
DataCouch, a premier IT training and consultancy firm based in India, Canada, and Malaysia, serves Fortune 500 clients like Adobe, Apple, and Google with top-tier technology training.
As a chosen partner for giants like Neo4j and PayPal, DataCouch leverages a global delivery model, world-class instructors, and cutting-edge course content, supported by a unique Virtual Lab Solution.
Specializing in GenAI, AI/ML, Data Engineering, and more, DataCouch’s consultants drive digital transformation and DevOps solutions, providing pragmatic strategies for businesses of all sizes.
Machine learning is an emerging field of computer science that gives computers the ability to learn without being explicitly programmed. It’s one of the most promising technologies currently in use and has become increasingly important across a wide range of business applications.Â
A Python for AI course provides comprehensive training in utilizing Python for artificial intelligence applications. Participants will acquire expertise in various aspects of Python programming tailored for AI, enabling them to develop intelligent solutions and algorithms.
H2O.ai makes machine learning accessible and allows business users to extract insights from data, without needing expertise in deploying or tuning machine learning models.
The aim of this course is to provide general proficiency in applying Machine Learning methods in practice. Through the use of the Python programming language and its various libraries and based on a multitude of practical examples.
In this course, you will learn the foundations of deep learning. When you finish this class, you will: – Understand the major technology trends driving Deep Learning – Be able to build, train and apply fully connected deep neural networks.
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