"e;Careers in Information Technology: Machine Learning Engineer"e; offers a comprehensive and insightful exploration into the dynamic and evolving field of machine learning within the realm of Information Technology.
Gain a deep understanding of applied deep learning on graphs from data, algorithm, and engineering viewpoints to construct enterprise-ready solutions using deep learning on graph data for wide range of domainsKey FeaturesExplore graph data in real-world systems and leverage graph learning for impactful business resultsDive into popular and specialized deep neural architectures like graph convolutional and attention networksLearn how to build scalable and productionizable graph learning solutionsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWith their combined expertise spanning cutting-edge AI product development at industry giants such as Walmart, Adobe, Samsung, and Arista Networks, Lakshya and Subhajoy provide real-world insights into the transformative world of graph neural networks (GNNs).
In "e;Careers in Information Technology: Artificial Intelligence (AI) Robotics Engineer,"e; readers are invited on an insightful journey into the dynamic and rapidly evolving field of AI Robotics Engineering.
Dive into the world of AI with this comprehensive guide that covers everything from foundational principles to cutting-edge techniques and applications.
This book constitutes the refereed proceedings of the 9th IFIP TC 12 International Conference on Intelligent Information Processing, IIP 2016, held in Melbourne, VIC, Australia, in October 2016.
This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes.
This book presents an in-depth analysis of successful data-driven initiatives, highlighting how organizations have leveraged data to drive decision-making processes, optimize operations, and achieve remarkable outcomes.
The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on MAchine inTelligence for Research & Innovations (MAiTRI 2023 Summit), held at Dr.
The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on MAchine inTelligence for Research & Innovations (MAiTRI 2023 Summit), held at Dr.
Integrate large language models into your enterprise applications with advanced strategies that drive transformationKey FeaturesExplore design patterns for applying LLMs to solve real-world enterprise problemsLearn strategies for scaling and deploying LLMs in complex environmentsGet more relevant results and improve performance by fine-tuning and optimizing LLMsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThe integration of large language models (LLMs) into enterprise applications is transforming how businesses use AI to drive smarter decisions and efficient operations.
The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on Machine Intelligence for Research and Innovations (MAiTRI 2023 Summit), held at Dr B R Ambedkar National Institute of Technology Jalandhar, Punjab, India during 1 - 3 September 2023.
The book is a collection of high-quality peer-reviewed research papers presented in the First International Conference on Machine Intelligence for Research and Innovations (MAiTRI 2023 Summit), held at Dr B R Ambedkar National Institute of Technology Jalandhar, Punjab, India during 1 - 3 September 2023.