Название: Artificial Intelligence Class 9: Vocational Course Code 417, Skill Education
Автор: Shalini Harisukh, Anjna Virmani
Издательство: Orange Education Pvt Ltd
Год: 2020
Страниц: 541
Язык: английский
Формат: epub (true)
Размер: 20.5 MB

Data visualisation is the graphical representation of data and information. By using graphical tools like charts and graphs, it is an easier way to understand the trends and patterns in data. Data visualisation can be done through a combination of automated tools and manual methods. It encompasses all aspects of the visual representation. It helps you arrange your scattered data into a structured pattern with specific characteristics following important trends in detail. It also helps to make better decisions. Python is a general-purpose, object-oriented, easy-to-learn and high-level programming language. Python is a very popular programming language. Let us study some of its important features to find out the reasons for its popularity: • High-Level Language: Python is a high-level and general-purpose programming language which simplifies the process of developing a program. The code written in Python is more close to human language and away from machine language. • Easy to Learn and Use: Python has simple English-like statements which are easy to learn and use. Anybody can easily get used to its syntax and can expertise in it.

Название: Artificial Intelligence Class 8
Автор: Geeta Zunjani
Издательство: Orange Education Pvt Ltd
Год: 2020
Страниц: 143
Язык: английский
Формат: epub (true)
Размер: 14.9 MB

Artificial Intelligence (AI) has already stepped into our lives. It makes a machine capable of learning from experience, understanding new inputs and performing tasks more like humans. Speech recognition, decision making and visual perception are some areas where AI is doing wonders. Minimizing human error is one of the advantages of using AI over human intelligence. There are some geographical areas where humans cannot operate. In such scenarios, AI can be very helpful. The speed at which AI system works on huge data is better than humans. Artificial Narrow Intelligence (ANI) has a limited/narrow range of abilities. It is most dedicated to performing only one task. It is also called Weak AI or Narrow AI as it operates under limited capabilities. It is goal oriented and focussed to do a single task. Consider Siri—virtual assistant on an iPhone—it uses speech and language recognition techniques to set an alarm, or send an SMS to a contact on your phone. Narrow AI uses Natural Language Processing (NLP) to perform.

Название: Artificial Intelligence Class 7: Computer Textbook Series for Artificial Intelligence
Автор: Geeta Zunjani
Издательство: Orange Education Pvt Ltd
Год: 2020
Страниц: 106
Язык: английский
Формат: epub (true)
Размер: 10.2 MB

Touchpad Artificial Intelligence series has some salient features such as AI Reboot, AI Deep Thinking, AI in Life, AI Lab and AI Ready which ensures that NEP 2020 guidelines are followed. Artificial Intelligence (AI) is the branch of computer science that focuses on developing machines which can think and work like human beings. These machine are created to be smart and would be able to simulate the human thinking process. Since ancient time, humans were fascinated to make machine as smart as themselves. This desire led to the development of one of the most ground breaking technology that could change the future AI. Humans have been creating smart machine for quite a long time but, even then there are certain differences that sets human intelligence apart from Artificial Intelligence. Touchpad Artificial Intelligence series has some salient features such as AI Reboot, AI Deep Thinking, AI in Life, AI Lab and AI Ready which ensures that NEP 2020 guidelines are followed. There are plenty of Video Sessions for students and teachers to go beyond the syllabus and enrich their knowledge. There are some brainstorming questions in the form of AI Taskin between the topics to ensure that students give pause to their learning and use their skills to reach to some creative ideas in solving given problems.Robotics and AI along with an AI game, making them future ready.

Название: Основы искусственного интеллекта в примерах на Python (2024)
Автор: Постолит А.В.
Издательство: СПб.: БХВ-Петербург
Год: 2024
Формат: pdf
Страниц: 448
Размер: 31 mb
Язык: Русский

Описаны инструментальные средства для разработки приложений искусственного интеллекта. Даны основы языка программирования Python. Раскрыты основные понятия и определения искусственного интеллекта. Рассмотрены вопросы программной реализации элементов нейронной сети и построения многослойных нейронных сетей. Большое внимание уделено применению специализированных библиотек PyBrain, Scikit-learn, Keras, TensorFlow для формирования структуры нейронных сетей и их обучения, и библиотек ImageAI и OpenCV для обработки изображений.

Название: Карьера Software Engineering Manager. Эффективное управление командой разработчиков ПО
Автор: Джеймс Стэньер
Издательство: Питер
Год: 2024
Формат: pdf
Страниц: 416
Размер: 18,3 Мб
Язык: русский

Перед вами неожиданно открылась возможность возглавить команду разработчиков ПО? Пора становиться менеджером? Как решить, подходит ли вам такой шаг в карьере? И если да, то чему нужно научиться, чтобы добиться успеха? С чего начать? Как понять, что вы все делаете правильно? Что вообще означает «менеджмент»? Джеймс Стэньер делится секретами, которые необходимо знать, чтобы успешно управлять командой разработчиков.
Смена статуса с «инженер-разработчик» на «руководитель команды» не должна вас пугать — инженеры могут быть менеджерами, причем идеальными. Отбросьте болтовню и сосредоточьтесь на практических методах и инструментах. Вы станете эффективным лидером команды, на которого будут равняться ваши сотрудники. Великие менеджеры могут сделать мир лучше. Присоединяйтесь к нам!

Название: Multimedia Data Processing and Computing
Автор: Suman Kumar Swarnkar, J P Patra, Tien Anh Tran, Bharat Bhushan
Издательство: CRC Press
Год: 2024
Страниц: 197
Язык: английский
Формат: pdf (true)
Размер: 28.8 MB

This book focuses on different applications of multimedia with supervised and unsupervised data engineering in the modern world. It includes AI-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, manufacturing, Data Science, automation in electronics industries, and many more relevant fields. Multimedia Data Processing and Computing provides a complete introduction to Machine Learning (ML) concepts, as well as practical guidance on how to use Machine Learning tools and techniques in real-world data engineering situations. It is divided into three sections. In this book on multimedia data engineering and Machine Learning, the reader will learn how to prepare inputs, interpret outputs, appraise discoveries, and employ algorithmic strategies that are at the heart of successful data mining. The chapters focus on the use of various Machine Learning algorithms, neural net- work algorithms, evolutionary techniques, fuzzy logic techniques, and Deep Learning techniques through projects, so that the reader can easily understand not only the concept of different algorithms but also the real-world implementation of the algorithms using IoT devices. The authors bring together concepts, ideas, paradigms, tools, methodologies, and strategies that span both supervised and unsupervised engineering, with a particular emphasis on multimedia data engineering.

Название: Artificial intelligence in Pharmaceutical Sciences
Автор: Mullaicharam Bhupathyraaj, K. Reeta Vijaya Rani, Musthafa Mohamed Essa
Издательство: CRC Press
Год: 2024
Страниц: 181
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This cutting-edge reference book discusses the intervention of Artificial Intelligence (AI) in the fields of drug development, modified drug delivery systems, pharmaceutical technology, and medical devices development. This comprehensive book includes an overview of Artificial Intelligence in pharmaceutical sciences and applications in the drug discovery and development process. It discusses the role of Machine Learning (ML) in the automated detection and sorting of pharmaceutical formulations. It covers nanosafety and the role of Artificial Intelligence in predicting potential adverse biological effects. Artificial Intelligence (AI) has offered a crucial part in significantly developing and nurturing the field of pharmacy throughout the world. The chapters in this book will deal with the omnipotent and omnipresent inevitability of AI, an overview of AI-driven pharmaceutical functionality, AI in drug delivery systems, the role of AI in drug discovery and development, AI applications in scrutinizing health status, and the benefits of robotics in surgery, analysis of pharmaceutical formulations using AI, role of AI in pharmaceutical drugs, gene therapies, and medical device regulation, etc. Deep Learning (DL) is a function of AI that mimics the activity of the human brain to create patterns for information processing and decision-making. It is a subset of ML in the field of AI that can control learning from unstructured or networked data. This is also referred to as deep neural learning or deep neural network.

Название: Medical-Grade Software Development: How to Build Medical-Device Products That Meet the Requirements of IEC 62304 and ISO 13485
Автор: Ilkka Juuso, Ilpo Poyhonen
Издательство: Routledge
Год: 2024
Страниц: 387
Язык: английский
Формат: pdf (true)
Размер: 13.5 MB

This book is a practical guide to meeting IEC 62304 software-development requirements within the context of an ISO 13485 quality management system (QMS). The book proves this can be done with a minimum amount of friction, overlap, and back-and-forth between development stages. It essentially shows you how you should shape your medical-software development processes to fit in with the QMS processes in the smartest and leanest way possible. By following the advice in this book, you can reuse processes from your QMS, ensure your product-realization processes meet the requirements for medical-software development, and marry all the requirements together using tried and tested solutions into one efficient system. The expertise of the authors here goes beyond just the experiences of one real-world project as they tap into over 30 years of experience and countless software and software-assessment projects to distill their advice.

Название: Number Systems for Deep Neural Network Architectures
Автор: Ghada Alsuhli, Vasilis Sakellariou, Hani Saleh, Mahmoud Al-Qutayri
Издательство: Springer
Год: 2024
Страниц: 100
Язык: английский
Формат: pdf (true), epub
Размер: 11.2 MB

This book provides readers a comprehensive introduction to alternative number systems for more efficient representations of Deep Neural Network (DNN) data. Various number systems (conventional/unconventional) exploited for DNNs are discussed, including Floating Point (FP), Fixed Point (FXP), Logarithmic Number System (LNS), Residue Number System (RNS), Block Floating Point Number System (BFP), Dynamic Fixed-Point Number System (DFXP) and Posit Number System (PNS). The authors explore the impact of these number systems on the performance and hardware design of DNNs, highlighting the challenges associated with each number system and various solutions that are proposed for addressing them. During the past decade, DNNs have shown outstanding performance in a myriad of Artificial Intelligence (AI) applications. Since their success in both speech and image recognition, great attention has been drawn to DNNs from academia and industry, which subsequently led to a wide range of products that utilize them.

Название: The Python Handbook
Автор: Flavio Copes
Издательство: Independently published
Год: 2023
Язык: английский
Формат: pdf, epub
Размер: 14.0 MB

Python is literally eating the programming world. It is growing in popularity and usage in ways that are pretty much unprecedented in the history of computers. There is a huge variety of scenarios that Python excels in. Shell scripting, task automation, Web development are just some basic examples. Python is the language of choice for data analysis and machine learning, but it can also adapt to create games and work with embedded devices. Most importantly, it's the language of choice for introductory computer science courses in universities all around the world. Many students learn Python as their first programming language. Many are learning it right now, many will learn it in the future. And for many of them, Python will be the only programming language they need. Thanks to this unique position, Python is likely going to grow even more in the future. The language is simple, expressive, and it's quite straightforward. The ecosystem is huge. There seems to be a library for everything you can imagine. Python is a high-level programming language suitable for beginners thanks to its intuitive syntax, its huge community and vibrant ecosystem.