Machine Learning Upgrade

DOWNLOAD

Download Machine Learning Upgrade PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Machine Learning Upgrade book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Machine Learning Upgrade

DOWNLOAD
Author : Kristen Kehrer
language : en
Publisher: John Wiley & Sons
Release Date : 2024-07-29

Machine Learning Upgrade written by Kristen Kehrer and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-29 with Computers categories.

A much-needed guide to implementing new technology in workspaces From experts in the field comes Machine Learning Upgrade: A Data Scientist's Guide to MLOps, LLMs, and ML Infrastructure, a book that provides data scientists and managers with best practices at the intersection of management, large language models (LLMs), machine learning, and data science. This groundbreaking book will change the way that you view the pipeline of data science. The authors provide an introduction to modern machine learning, showing you how it can be viewed as a holistic, end-to-end system—not just shiny new gadget in an otherwise unchanged operational structure. By adopting a data-centric view of the world, you can begin to see unstructured data and LLMs as the foundation upon which you can build countless applications and business solutions. This book explores a whole world of decision making that hasn't been codified yet, enabling you to forge the future using emerging best practices. Gain an understanding of the intersection between large language models and unstructured data Follow the process of building an LLM-powered application while leveraging MLOps techniques such as data versioning and experiment tracking Discover best practices for training, fine tuning, and evaluating LLMs Integrate LLM applications within larger systems, monitor their performance, and retrain them on new data This book is indispensable for data professionals and business leaders looking to understand LLMs and the entire data science pipeline.

Machine Learning And Big Data With Kdb Q

DOWNLOAD
Author : Paul A. Bilokon
language : en
Publisher:
Release Date : 2019-11-11

Machine Learning And Big Data With Kdb Q written by Paul A. Bilokon and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-11 with categories.

Upgrade your programming language to more effectively handle high-frequency data Machine Learning and Big Data with KDB+/Q offers quants, programmers and algorithmic traders a practical entry into the powerful but non-intuitive kdb+ database and q programming language. Ideally designed to handle the speed and volume of high-frequency financial data at sell- and buy-side institutions, these tools have become the de facto standard; this book provides the foundational knowledge practitioners need to work effectively with this rapidly-evolving approach to analytical trading. The discussion follows the natural progression of working strategy development to allow hands-on learning in a familiar sphere, illustrating the contrast of efficiency and capability between the q language and other programming approaches. Rather than an all-encompassing "bible"-type reference, this book is designed with a focus on real-world practicality to help you quickly get up to speed and become productive with the language. Understand why kdb+/q is the ideal solution for high-frequency data Delve into "meat" of q programming to solve practical economic problems Perform everyday operations including basic regressions, cointegration, volatility estimation, modelling and more Learn advanced techniques from market impact and microstructure analyses to machine learning techniques including neural networks The kdb+ database and its underlying programming language q offer unprecedented speed and capability. As trading algorithms and financial models grow ever more complex against the markets they seek to predict, they encompass an ever-larger swath of data - more variables, more metrics, more responsiveness and altogether more "moving parts." Traditional programming languages are increasingly failing to accommodate the growing speed and volume of data, and lack the necessary flexibility that cutting-edge financial modelling demands. Machine Learning and Big Data with KDB+/Q opens up the technology and flattens the learning curve to help you quickly adopt a more effective set of tools.

Graph Powered Machine Learning

DOWNLOAD
Author : Alessandro Negro
language : en
Publisher: Simon and Schuster
Release Date : 2021-10-05

Graph Powered Machine Learning written by Alessandro Negro and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-05 with Computers categories.

Upgrade your machine learning models with graph-based algorithms, the perfect structure for complex and interlinked data. Summary In Graph-Powered Machine Learning, you will learn: The lifecycle of a machine learning project Graphs in big data platforms Data source modeling using graphs Graph-based natural language processing, recommendations, and fraud detection techniques Graph algorithms Working with Neo4J Graph-Powered Machine Learning teaches to use graph-based algorithms and data organization strategies to develop superior machine learning applications. You’ll dive into the role of graphs in machine learning and big data platforms, and take an in-depth look at data source modeling, algorithm design, recommendations, and fraud detection. Explore end-to-end projects that illustrate architectures and help you optimize with best design practices. Author Alessandro Negro’s extensive experience shines through in every chapter, as you learn from examples and concrete scenarios based on his work with real clients! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Identifying relationships is the foundation of machine learning. By recognizing and analyzing the connections in your data, graph-centric algorithms like K-nearest neighbor or PageRank radically improve the effectiveness of ML applications. Graph-based machine learning techniques offer a powerful new perspective for machine learning in social networking, fraud detection, natural language processing, and recommendation systems. About the book Graph-Powered Machine Learning teaches you how to exploit the natural relationships in structured and unstructured datasets using graph-oriented machine learning algorithms and tools. In this authoritative book, you’ll master the architectures and design practices of graphs, and avoid common pitfalls. Author Alessandro Negro explores examples from real-world applications that connect GraphML concepts to real world tasks. What's inside Graphs in big data platforms Recommendations, natural language processing, fraud detection Graph algorithms Working with the Neo4J graph database About the reader For readers comfortable with machine learning basics. About the author Alessandro Negro is Chief Scientist at GraphAware. He has been a speaker at many conferences, and holds a PhD in Computer Science. Table of Contents PART 1 INTRODUCTION 1 Machine learning and graphs: An introduction 2 Graph data engineering 3 Graphs in machine learning applications PART 2 RECOMMENDATIONS 4 Content-based recommendations 5 Collaborative filtering 6 Session-based recommendations 7 Context-aware and hybrid recommendations PART 3 FIGHTING FRAUD 8 Basic approaches to graph-powered fraud detection 9 Proximity-based algorithms 10 Social network analysis against fraud PART 4 TAMING TEXT WITH GRAPHS 11 Graph-based natural language processing 12 Knowledge graphs

Encyclopedia Of Machine Learning

DOWNLOAD
Author : Claude Sammut
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-03-28

Encyclopedia Of Machine Learning written by Claude Sammut and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-28 with Computers categories.

This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the entries in this preeminent work include useful literature references.

Machine Learning A Journey To Deep Learning With Exercises And Answers

DOWNLOAD
Author : Andreas Miroslaus Wichert
language : en
Publisher: World Scientific
Release Date : 2021-01-26

Machine Learning A Journey To Deep Learning With Exercises And Answers written by Andreas Miroslaus Wichert and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-26 with Computers categories.

This unique compendium discusses some core ideas for the development and implementation of machine learning from three different perspectives — the statistical perspective, the artificial neural network perspective and the deep learning methodology.The useful reference text represents a solid foundation in machine learning and should prepare readers to apply and understand machine learning algorithms as well as to invent new machine learning methods. It tells a story outgoing from a perceptron to deep learning highlighted with concrete examples, including exercises and answers for the students.Related Link(s)

The Application Of Radiomics And Artificial Intelligence In Cancer Imaging

DOWNLOAD
Author : Jiuquan Zhang
language : en
Publisher: Frontiers Media SA
Release Date : 2022-03-21

The Application Of Radiomics And Artificial Intelligence In Cancer Imaging written by Jiuquan Zhang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-21 with Medical categories.

Systems Upgrade

DOWNLOAD
Author : Leire Asensio Villoria
language : en
Publisher: Actar D, Inc.
Release Date : 2022-01-05

Systems Upgrade written by Leire Asensio Villoria and has been published by Actar D, Inc. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-05 with Architecture categories.

The book submits that a deep study of legacy material artifacts, through the lens of contemporary digital design can constitute a valuable bridge between design history and contemporary creative practice. Systems Upgrade focuses on an investigation into the ways that we may re-describe and upgrade these design legacies for extension in future practice. The book explicates this through a deep dive into the re-description and re-design of the works of Austrian American sculptor and designer: Erwin Hauer. Systems Upgrade offers a design research approach that leverages the embodied knowledge latent within the material legacies of design history for direct applicability in creative practice. This long-spanning research into the construction of links between the deep study of precedent and future practice has been advanced through a simultaneous engagement with digital archeology and the new tools of creative practice. Invested in the belief of a need to open design and its material legacies to a multiverse, this research has yielded a collection of methods, techniques and novel outcomes grounded in history yet openly speculative in outlook. Systems Upgrade extensively illustrates an engagement with some of the most notable works of the Austrian American sculptor and designer Erwin Hauer. This book highlights several important phases of this specific design research project to provide a detailed view of how a series of bridges between analysis to creative practice may be achieved.

Advances In Prostate Cancer Model Systems Molecular And Cellular Mechanisms Early Detection And Therapies

DOWNLOAD
Author : Tanya I. Stoyanova
language : en
Publisher: Frontiers Media SA
Release Date : 2022-08-08

Advances In Prostate Cancer Model Systems Molecular And Cellular Mechanisms Early Detection And Therapies written by Tanya I. Stoyanova and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-08 with Medical categories.

Machine Vision And Augmented Intelligence

DOWNLOAD
Author : Koushlendra Kumar Singh
language : en
Publisher: Springer Nature
Release Date : 2024-12-14

Machine Vision And Augmented Intelligence written by Koushlendra Kumar Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-14 with Computers categories.

This book comprises the proceedings of the International Conference on Machine Vision and Augmented Intelligence (MAI 2023). The conference proceedings encapsulate the best deliberations held during the conference. The diversity of participants in the event from academia, industry, and research reflects in the articles appearing in the volume. The book theme encompasses all industrial and non-industrial applications in which a combination of hardware and software provides operational guidance to devices in the execution of their functions based on the capture and processing of images. This book covers a wide range of topics such as modeling of disease transformation, epidemic forecast, COVID-19, image processing and computer vision, augmented intelligence, soft computing, deep learning, image reconstruction, artificial intelligence in healthcare, brain-computer interface, cybersecurity, and social network analysis, natural language processing, etc.

Eccws 2021 20th European Conference On Cyber Warfare And Security

DOWNLOAD
Author : Dr Thaddeus Eze
language : en
Publisher: Academic Conferences Inter Ltd
Release Date : 2021-06-24

Eccws 2021 20th European Conference On Cyber Warfare And Security written by Dr Thaddeus Eze and has been published by Academic Conferences Inter Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-24 with History categories.

Conferences Proceedings of 20th European Conference on Cyber Warfare and Security