If this is you, please keep reading: you are in the right place, looking at the right book.
Since you are reading this you are probably aware of how important Artificial Intelligence is in these days.
In your everyday life Artificial Intelligence is all around you. Every time you buy a product on Amazon, follow a new profile on Instagram, listen to a song on Spotify or reserve a room on Booking, they are learning something out of your behavior. And these are just the most visible aspects of how Machine Learning is having an impact on our lives.
Everyone knows (well, almost everyone) how important Machine Learning is for the growth and success of the biggest tech companies, and many people know about the Machine Learning impact in science, medicine and statistics.
Also, it is quite commonly known that Artificial Intelligence, Machine Learning, and the mastering of their most important language, Python, can offer a lot of possibilities in work and business.
And you yourself are probably thinking "I surely can see that opportunity, but how can I seize it?"
Well, if you kept reading so far you are on the right track to answer your question.
In Machine Learning with Python you will find:
Why python is the best language for Machine Learning
How to bring your ideas into a computer
The smartest way to approach Machine Learning
How to deal with variables and data
Tips and tricks for a smooth and painless journey into artificial intelligence
The most common myths about Machine Learning debunked
So, whether you decided to start now or to go deeper into Artificial Intelligence, Machine Learning and Python Programming, you will only have two unanswered questions right now: "what is the best way to do it? And when is the best time to start?"
An easy, clear and complete guide as Machine Learning with Python is the answer to your first question, and about the second one, well, that's an easy one: the best time is NOW
Buy Machine Learning with Python now and start mastering the secrets of Artificial Intelligence.
Автор: Goldberg Yoav Название: Neural Network Methods in Natural Language Processing ISBN: 1627052984 ISBN-13(EAN): 9781627052986 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 76690.00 T Наличие на складе: Нет в наличии. Описание: Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries.The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
Автор: Zhang Название: Toward Deep Neural Networks ISBN: 1138387037 ISBN-13(EAN): 9781138387034 Издательство: Taylor&Francis Рейтинг: Цена: 127600.00 T Наличие на складе: Нет в наличии. Описание: This book introduces deep neural networks, with a focus on the weights-and-structure determination (WASD) algorithm. Based on the authors` 20 years of research experience on neuronets, the book explores the models, algorithms, and applications of the WASD neuronet.
Автор: Chakraverty Snehashish, Jeswal Sumit Kumar Название: Applied Artificial Neural Network Methods for Engineers and Scientists: Solving Algebraic Equations ISBN: 981123020X ISBN-13(EAN): 9789811230202 Издательство: World Scientific Publishing Рейтинг: Цена: 73920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The aim of this book is to handle different application problems of science and engineering using expert Artificial Neural Network (ANN). As such, the book starts with basics of ANN along with different mathematical preliminaries with respect to algebraic equations. Then it addresses ANN based methods for solving different algebraic equations viz. polynomial equations, diophantine equations, transcendental equations, system of linear and nonlinear equations, eigenvalue problems etc. which are the basic equations to handle the application problems mentioned in the content of the book. Although there exist various methods to handle these problems, but sometimes those may be problem dependent and may fail to give a converge solution with particular discretization. Accordingly, ANN based methods have been addressed here to solve these problems. Detail ANN architecture with step by step procedure and algorithm have been included. Different example problems are solved with respect to various application and mathematical problems. Convergence plots and/or convergence tables of the solutions are depicted to show the efficacy of these methods. It is worth mentioning that various application problems viz. Bakery problem, Power electronics applications, Pole placement, Electrical Network Analysis, Structural engineering problem etc. have been solved using the ANN based methods.
Автор: Mushiri Tawanda Название: Fuzzy Logic Dynamics and Machine Prediction for Failure Analysis ISBN: 1522532447 ISBN-13(EAN): 9781522532446 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 218990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In the fast pace of the modern world it is important, more than ever, for factories to know how and why their machines are failing and what can be done to prevent it. As such, it is imperative that new research is conducted to make sure that factories can operate as efficiently as possible. Fuzzy Logic Dynamics and Machine Prediction for Failure Analysis is an essential reference source for the newest research on the risk assessment matrix, ladder logic, and computerized maintenance management systems (CMMS). Featuring widespread coverage across a variety of related viewpoints and topics, such as the Ishikawa diagram, machinery failure analysis and troubleshooting, model reference adaptive control systems, and proportional–integral–derivative (PID) controllers, this book is ideally designed for professionals, upper-level students, and academics seeking current research on the implementation of fuzzy logic in machine prediction failure.
Автор: Salman Khan, Hossein Rahmani, Syed Afaq Ali Shah, Mohammed Bennamoun Название: A Guide to Convolutional Neural Networks for Computer Vision ISBN: 1681732785 ISBN-13(EAN): 9781681732787 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 102570.00 T Наличие на складе: Невозможна поставка. Описание: Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving cars. Visual recognition tasks, such as image classification, localization, and detection, are the core building blocks of many of these applications, and recent developments in Convolutional Neural Networks (CNNs) have led to outstanding performance in these state-of-the-art visual recognition tasks and systems. As a result, CNNs now form the crux of deep learning algorithms in computer vision.This self-contained guide will benefit those who seek to both understand the theory behind CNNs and to gain hands-on experience on the application of CNNs in computer vision. It provides a comprehensive introduction to CNNs starting with the essential concepts behind neural networks: training, regularization, and optimization of CNNs. The book also discusses a wide range of loss functions, network layers, and popular CNN architectures, reviews the different techniques for the evaluation of CNNs, and presents some popular CNN tools and libraries that are commonly used in computer vision. Further, this text describes and discusses case studies that are related to the application of CNN in computer vision, including image classification, object detection, semantic segmentation, scene understanding, and image generation.This book is ideal for undergraduate and graduate students, as no prior background knowledge in the field is required to follow the material, as well as new researchers, developers, engineers, and practitioners who are interested in gaining a quick understanding of CNN models.
Автор: Wilkins Neil Название: Artificial Intelligence: An Essential Beginner`s Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural Networks, Deep Learnin ISBN: 1950924807 ISBN-13(EAN): 9781950924806 Издательство: Неизвестно Рейтинг: Цена: 27580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: So, what is the deal with intelligent machines? Will they soon decide on things such as copyright infringement? How about self-driving trucks and cars?What kind of impact will smart machines have on society and the future of human jobs?
If you want to learn key AI concepts to get you quickly up to speed with all things AI, then keep reading
Two manuscripts in one book:
Artificial Intelligence: What You Need to Know About Machine Learning, Robotics, Deep Learning, Recommender Systems, Internet of Things, Neural Networks, Reinforcement Learning, and Our Future
Internet of Things: What You Need to Know About IoT, Big Data, Predictive Analytics, Artificial Intelligence, Machine Learning, Cybersecurity, Business Intelligence, Augmented Reality and Our Future
This book covers everything from machine learning to robotics and the internet of things.
You can use it as a nifty guidebook whenever you come across news headlines that talk about some new advancement in AI by Google or Facebook.
By the time you finish reading, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is.
You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driver-less cars of today.
In part 1 of this book, you will:
Understand how machines can "think" and how they learn
Learn the five reasons why experts are warning us about AI research
Find the answers to the top six myths of artificial intelligence
Learn what neural networks are and how they work, the "brains" of machine learning
Understand reinforcement learning and how it is used to teach machine learning systems through experience
Become up-to-date with the current state-of-the-art artificial intelligence methods that use deep learning
Learn the basics of recommender systems
Expand your current view of machines and what is possible with modern robotics
Enter the vast world of the internet of things technologies
Find out why AI is the new business degree
And much, much more
Some of the topics covered in part 2 of this book include:
Origins of IoT
IoT Security
Ethical Hacking
Internet of Things
Under The Cushy Foot of Tech Giants
The Power of Infinite Funds
IoT Toys
Bio-robotics
Predictive Analytics
Machine Learning
Artificial Intelligence
Cybersecurity
Big Data
Business Intelligence
Augmented Reality
Virtual Reality
Our Future
And much, much more
If you want to learn more about the artificial intelligence and internet of things, then scroll up and click "add to cart"
If you want to learn about artificial intelligence without having to go through a boring textbook, then keep reading...
Two manuscripts in one book:
Artificial Intelligence: An Essential Beginner's Guide to AI, Machine Learning, Robotics, The Internet of Things, Neural Networks, Deep Learning, Reinforcement Learning, and Our Future
Robotics: What Beginners Need to Know about Robotic Process Automation, Mobile Robots, Artificial Intelligence, Machine Learning, Autonomous Vehicles, Speech Recognition, Drones, and Our Future
So, what is the deal with intelligent machines? Will they soon decide on things such as copyright infringement? How about self-driving trucks and cars?
What kind of impact will smart machines have on society and the future of human jobs?
This book will give you a glimpse into the most fascinating topic of the 21st century--artificial intelligence (AI), a hypothetical simulation of a living brain inside a computer.
In part 1 of this book, you will:
Confluence of Interests
AI Myths
Manipulating the Limbic System
Motivation for Creating AI
Basic Concepts
IoT Ecosystem
Fighting Against Tech Giants
Seminal Inventions
Fear-based Consumerism
AI and Growth Hacking
AI and Correcting Fake News
AI and Big Data
AI and Employment
AI and The Legal System
AI and Self-driving Vehicles
Tech Giants As Rulers of Society
AI as One World Religion
Dietary Advice by AI
AI and Loneliness
AI and Ethics
AI and Social Credit
Hacking AI
AI as Sports Referees
And much, much more
Some of the topics covered in part 2 of this book include:
The basics of robotics and what some of the advantages and disadvantages are.
Reasons that experts are trying to warn us about robots.
Myths about robots and the actual truth.
Robotic Process Automation and how it relates to robotics.
Mobile robots and how they have changed throughout the years.
Artificial Intelligence and how it can be tied to robotics.
Machine learning and how robots use it.
Autonomous vehicles and how they work.
How robots use speech recognition.
Drones - what they are and how they work.
How robots are being used in business and how they could take your job.
Answers to frequently asked questions about robotics.
And much, much more
If you want to learn more about artificial intelligence, then scroll up and click "add to cart"
Автор: Aboul Ella Hassanien, Ashraf Darwish, Chiranji Lal Chowdhary Название: Handbook of Research on Deep Learning Innovations and Trends ISBN: 1522578625 ISBN-13(EAN): 9781522578628 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 287370.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Leading technology firms and research institutions are continuously exploring new techniques in artificial intelligence and machine learning. As such, deep learning has now been recognized in various real-world applications such as computer vision, image processing, biometrics, pattern recognition, and medical imaging. The deep learning approach has opened new opportunities that can make such real-life applications and tasks easier and more efficient. The Handbook of Research on Deep Learning Innovations and Trends is an essential scholarly resource that presents current trends and the latest research on deep learning and explores the concepts, algorithms, and techniques of data mining and analysis. Highlighting topics such as computer vision, encryption systems, and biometrics, this book is ideal for researchers, practitioners, industry professionals, students, and academicians.
Автор: Sathiyamoorthi Velayutham Название: Handbook of Research on Applications and Implementations of Machine Learning Techniques ISBN: 1522599029 ISBN-13(EAN): 9781522599029 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 264270.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Artificial intelligence is at the forefront of research and implementation in many industries including healthcare and agriculture. Whether it's detecting disease or generating algorithms, deep learning techniques are advancing exponentially. Researchers and professionals need a platform in which they can keep up with machine learning trends and their developments in the real world.
The Handbook of Research on Applications and Implementations of Machine Learning Techniques provides innovative insights into the multi-disciplinary applications of machine learning algorithms for data analytics. The content within this publication examines disease identification, neural networks, and language support. It is designed for IT professionals, developers, data analysts, technology specialists, R&D professionals, industrialists, practitioners, researchers, academicians, and students seeking research on deep learning procedures and their enactments in the fields of medicine, engineering, and computer science.
