Biznes IT
Machine Learning with Swift. Artificial Intelligence for iOS
Alexander Sosnovshchenko
Machine learning as a field promises to bring increased intelligence to the software by helping us learn and analyse information efficiently and discover certain patterns that humans cannot. This book will be your guide as you embark on an exciting journey in machine learning using the popular Swift language. We’ll start with machine learning basics in the first part of the book to develop a lasting intuition about fundamental machine learning concepts. We explore various supervised and unsupervised statistical learning techniques and how to implement them in Swift, while the third section walks you through deep learning techniques with the help of typical real-world cases. In the last section, we will dive into some hard core topics such as model compression, GPU acceleration and provide some recommendations to avoid common mistakes during machine learning application development. By the end of the book, you'll be able to develop intelligent applications written in Swift that can learn for themselves.
Rich Collier, Bahaaldine Azarmi
Machine Learning with the Elastic Stack is a comprehensive overview of the embedded commercial features of anomaly detection and forecasting. The book starts with installing and setting up Elastic Stack. You will perform time series analysis on varied kinds of data, such as log files, network flows, application metrics, and financial data.As you progress through the chapters, you will deploy machine learning within the Elastic Stack for logging, security, and metrics. In the concluding chapters, you will see how machine learning jobs can be automatically distributed and managed across the Elasticsearch cluster and made resilient to failure.By the end of this book, you will understand the performance aspects of incorporating machine learning within the Elastic ecosystem and create anomaly detection jobs and view results from Kibana directly.
Rich Collier, Bahaaldine Azarmi
Machine Learning with the Elastic Stack is a comprehensive overview of the embedded commercial features of anomaly detection and forecasting. The book starts with installing and setting up Elastic Stack. You will perform time series analysis on varied kinds of data, such as log files, network flows, application metrics, and financial data.As you progress through the chapters, you will deploy machine learning within the Elastic Stack for logging, security, and metrics. In the concluding chapters, you will see how machine learning jobs can be automatically distributed and managed across the Elasticsearch cluster and made resilient to failure.By the end of this book, you will understand the performance aspects of incorporating machine learning within the Elastic ecosystem and create anomaly detection jobs and view results from Kibana directly.
Rich Collier, Camilla Montonen, Bahaaldine Azarmi
Elastic Stack, previously known as the ELK stack, is a log analysis solution that helps users ingest, process, and analyze search data effectively. With the addition of machine learning, a key commercial feature, the Elastic Stack makes this process even more efficient. This updated second edition of Machine Learning with the Elastic Stack provides a comprehensive overview of Elastic Stack's machine learning features for both time series data analysis as well as for classification, regression, and outlier detection.The book starts by explaining machine learning concepts in an intuitive way. You'll then perform time series analysis on different types of data, such as log files, network flows, application metrics, and financial data. As you progress through the chapters, you'll deploy machine learning within Elastic Stack for logging, security, and metrics. Finally, you'll discover how data frame analysis opens up a whole new set of use cases that machine learning can help you with.By the end of this Elastic Stack book, you'll have hands-on machine learning and Elastic Stack experience, along with the knowledge you need to incorporate machine learning in your distributed search and data analysis platform.
Machines That Think. How Artificial Intelligence Works and What It Means for Us
Rheinwerk Publishing, Inc, Inga Strümke
Machines That Think explores the evolution of artificial intelligence (AI), from its roots in early theoretical frameworks to modern machine learning technologies. It begins by diving into the history of AI, featuring the foundational contributions of pioneers like Alan Turing and John von Neumann. The book then examines the attempts to make machines intelligent, covering symbolic AI, expert systems, and the rise of neural networks. With a focus on the technological advancements that shaped AI, this book provides readers with a deep understanding of how AI systems have evolved over time.The book continues by addressing the growing importance of data in AI systems. It explores how data shapes machine learning models and the inherent challenges faced by data scientists when gathering and processing data for AI applications. The impact of data on model accuracy and the ethical dilemmas surrounding its collection and usage are also discussed. In the final chapters, the book delves into the ethical and societal implications of AI, exploring issues such as privacy, accountability, and the future of AI in everyday life. It speculates on the future of artificial general intelligence (AGI) and superintelligence, contemplating the potential consequences of these technologies.
Allan MacGregor
This book is written for PHP developers who are familiar with frameworks such as Zend or CakePHP and want to start developing and working with Magento. No prior knowledge of Magento is required.
Robert Kent
This book is an easy-to-follow tutorial with best practices and advanced references which will help you to take full advantage of Magento with SEO.This book is aimed at both Magento developers and SEO specialists who wish to optimize search and end user elements such as click-through rates to ensure the design of their online shop sites effectively maximize sales. Magento store owners may also find large sections of this book useful in order to understand the larger impact small tweaks and changes can have on SEO - especially when editing products and categories. This book assumes that the reader will understand the basic concepts of keyword research and the external factors that are required in order to manage an on-going SEO campaign.
Robert Kent
This book is an easy-to-follow tutorial with best practices and advanced references which will help you to take full advantage of Magento with SEO.This book is aimed at both Magento developers and SEO specialists who wish to optimize search and end user elements such as click-through rates to ensure the design of their online shop sites effectively maximize sales. Magento store owners may also find large sections of this book useful in order to understand the larger impact small tweaks and changes can have on SEO - especially when editing products and categories. This book assumes that the reader will understand the basic concepts of keyword research and the external factors that are required in order to manage an on-going SEO campaign.
Magia Instagrama. Jak zdobyć milionowe zasięgi w 90 dni
Mirosław Skwarek
A Ty, ilu chcesz mieć obserwujących na Instagramie? Instagram. Medium społecznościowe, które jest z nami już od kilkunastu lat, właśnie przeżywa boom. W rytmie, w jakim zamiera Facebook, Instagram rośnie, docierając do coraz większej liczby osób. Prosty, fotograficzny lub filmowy przekaz okraszony kilkoma słowami komentarza, oczywiście hashtagami oraz linkiem w bio. Tyle wystarczy, by dotrzeć do tzw. grupy docelowej i stać się instagramowym influencerem. Czy to naprawdę takie proste? Nie do końca. Na Instagramie obecnych jest dziś około 9 mln Polaków. Wielu użytkowników jedynie odbiera publikowane tam treści bądź incydentalnie umieszcza na swoich kontach posty. Jednak nie o takich instagramerach jest ta książka. Istnieje grono osób, które publikują tam regularnie, merytorycznie i w doskonale przemyślany sposób, budując dzięki Instagramowi ogromne zasięgi oraz markę osobistą. Te działania pozwalają często zarabiać spore pieniądze. Konkurencja jest duża, ale droga pozostaje otwarta. Jeśli zatem chcesz dołączyć do grona instagramowych influencerów, ta książka odsłoni przed Tobą ich sekrety i umożliwi Ci zdobycie tylu obserwujących, ilu zapragniesz mieć. Książka w mediach: Biblioteka Macieja Bookstagram
Magia Instagrama. Jak zdobyć milionowe zasięgi w 90 dni
Mirosław Skwarek
A Ty, ilu chcesz mieć obserwujących na Instagramie? Instagram. Medium społecznościowe, które jest z nami już od kilkunastu lat, właśnie przeżywa boom. W rytmie, w jakim zamiera Facebook, Instagram rośnie, docierając do coraz większej liczby osób. Prosty, fotograficzny lub filmowy przekaz okraszony kilkoma słowami komentarza, oczywiście hashtagami oraz linkiem w bio. Tyle wystarczy, by dotrzeć do tzw. grupy docelowej i stać się instagramowym influencerem. Czy to naprawdę takie proste? Nie do końca. Na Instagramie obecnych jest dziś około 9 mln Polaków. Wielu użytkowników jedynie odbiera publikowane tam treści bądź incydentalnie umieszcza na swoich kontach posty. Jednak nie o takich instagramerach jest ta książka. Istnieje grono osób, które publikują tam regularnie, merytorycznie i w doskonale przemyślany sposób, budując dzięki Instagramowi ogromne zasięgi oraz markę osobistą. Te działania pozwalają często zarabiać spore pieniądze. Konkurencja jest duża, ale droga pozostaje otwarta. Jeśli zatem chcesz dołączyć do grona instagramowych influencerów, ta książka odsłoni przed Tobą ich sekrety i umożliwi Ci zdobycie tylu obserwujących, ilu zapragniesz mieć. Książka w mediach: Biblioteka Macieja Bookstagram
Sudhi Ranjan Sinha
Bridge the gap between data and decision.Big Data has brought about a revolution in the way we do business. Essential business decisions can today be informed by the wealth of data now at our disposal. However, while Big Data may appear to be the answer to every business problem, for many, gaining real value from data – gaining business insights is a difficult task. Big Data, for many, is a big problem itself, with many struggling to reap the rewards that it promises. In this accessible and stimulating guide, Sudhi Sinha, management, technology and sustainability expert, provides a unique perspective on Big Data and how to derive maximum value from it – with sharp and careful analytics.“this is a perfect starter for any manager who wants to understand and explore Big Data… The Big Data field is evolving quickly, and this book serves as a quick and practical introduction to the field.”AnHai Doan, Professor, University of Wisconsin; Chief Scientist at WalmartLabs USAThis insightful and engaging book demonstrates that Big Data, to be most effective, needs to be weaved within the fabric of organization strategy. Without it, you are simply left with numbers and statistics, lacking purpose – lacking potency. Beginning with the essential stage of building a strategy framework for you Big Data analytics project, and integrating it within your wider business strategy, Sudhi provides you with the knowledge and insight to help you build a big data strategy that gets results.Big data is one of the biggest buzzwords in the world of business today. And while it is true that it has opened up huge opportunities for businesses of all sizes, it is nevertheless difficult for many businesses to turn the reserves of numbers and statistics at their disposal into clear insights that can inform important business decisions. Beginning with the creation of a Big Data strategy and the identification of the key opportunities that it has the potential to unlock, the book will then demonstrate how to implement and manage your project with the best team and the right technology for your needs. Once this is in place you will then find out how to get the most from your Big Data insights, with effective organizational alignment and change management.