ISBN
9781788294768
A practical guide designed to get you from basics to current state of art in computer vision systems. :
This book is for machine learning practitioners and deep learning enthusiasts who want to understand and implement various tasks associated with Computer Vision and image processing in the most practical manner possible. Some programming experience would be beneficial while knowing Python would be an added bonus.
Author/Authors: Dadhich, Abhinav
Pages: 234 | Published Date: 43136
Category: Data
ISBN
9781788394147
Implement advanced deep learning models using Python :
Convolutional Neural Network (CNN) is revolutionizing several application domains such as visual recognition systems, self-driving cars, medical discoveries, innovative eCommerce and more.You will learn to create innovative solutions around image and video analytics to solve complex machine learning and computer vision related problems and implement real-life CNN models. This book starts with an overview of deep neural networkswith the example of image classification and walks you through building your first CNN for human face detector. We will learn to use concepts like transfer learning with CNN, and Auto-Encoders to build very powerful models, even when not much of supervised training data of labeled images is available. Later we build upon the learning achieved to build advanced vision related algorithms for object detection, instance segmentation, generative adversarial networks, image captioning, attention mechanisms for vision, and recurrent models for vision. By the end of this book, you should be ready to implement advanced, effective and efficient CNN models at your professional project or personal initiatives by working on complex image and video datasets.
Author/Authors: Sewak, Mohit | Karim, Md. Rezaul | Pujari, Pradeep
Pages: 218 | Published Date: 43158
Category: Data
ISBN
9781783281008
Transform, model, and visualize your data through hands-on projects, developed in open source tools :
Each chapter of the book quickly introduces a key ‘theme’ of Data Analysis, before immersing you in the practical aspects of each theme. You’ll learn quickly how to perform all aspects of Data Analysis.Practical Data Analysis is a book ideal for home and small business users who want to slice & dice the data they have on hand with minimum hassle.
Author/Authors: Cuesta, Hector
Pages: 360 | Published Date: 41569
Category: Data
ISBN
9781785286667
A practical guide to obtaining, transforming, exploring, and analyzing data using Python, MongoDB, and Apache Spark :
Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the basic data algorithms without the theoretical jargon, and you’ll get hands-on turning data into insights using machine learning techniques. We will perform data-driven innovation processing for several types of data such as text, Images, social network graphs, documents, and time series, showing you how to implement large data processing with MongoDB and Apache Spark.
Author/Authors: Cuesta, Hector | Kumar, Dr. Sampath
Pages: 338 | Published Date: 42643
Category: Data
ISBN
9781847191106
Use the open-source Eclipse-based Business Intelligence and Reporting Tools system to design and create reports quickly :
This book deals with quality awareness as well as quality assurance. It discusses the quality expectations from the ERP solution, talks about the best practices for meeting the quality expectations, and then suggests the strategies to test the customized Dynamics AX ERP application. Microsoft Business Solution partners will benefit greatly from this book. This book targets functional experts and Dynamics AX developers. A basic knowledge of the X++ language and the basics of Axapta architecture are needed to follow the book, but no prior knowledge of testing is required. The following will find this book useful: MBS Partners who are dealing in Dynamics AX: To educate their employees for achieving their quality goals. Project Managers / Quality Managers: To update themselves about the standards related to Design, Development, Testing, etc., which are a part of Microsoft IBI Specifications for Dynamics AX 4.0. Dynamics AX Developers: To update themselves about coding standards that apply to Dynamics AX and to know the principles behind various recommended best practi nctional Consultants: To update themselves about Solution Design / GUI Specifications. Chief Technology Officers / Technical Solution Designers: To gain awareness about best practices for trustworthy computing and how these can be implemented at organization / project level. Dynamics AX Customers: To know about applicable standards for Dynamics AX customization projects and hence be able to effectively monitor their projects or set expectations from vendors about quality goals.This book is a concise and practical guide aimed at getting the results you want as quickly as possible. It steers the reader through each point of reporting from setup, to scripting, designing, formatting, and deploying BIRT reports using a common example that runs through the book. This book is for Java developers who want to create rich reports and get started with BIRT to do this. Readers will need a basic understanding of SQL to follow along.
Author/Authors: Ward, John
Pages: 312 | Published Date: 39500
Category: Data
ISBN
9781783558513
Over 60 practical recipes on data exploration and analysis :
This book is for everyone who wants to get into the data science field and needs to build up their skills on a set of examples that aim to tackle the problems faced in the corporate world. More advanced practitioners might also find some of the examples refreshing and the more advanced topics covered interesting.
Author/Authors: Drabas, Tomasz
Pages: 384 | Published Date: 42489
Category: Data
ISBN
9781783980253
89 hands-on recipes to help you complete real-world data science projects in R and Python :
If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure of data science projects, the steps in the data science pipeline, and the programming examples presented in this book. Since the book is formatted to walk you through the projects with examples and explanations along the way, no prior programming experience is required.
Author/Authors: Ojeda, Tony | Murphy, Sean Patrick | Bengfort, Benjamin | Dasgupta, Abhijit
Pages: 396 | Published Date: 41907
Category: Data
ISBN
9781787123267
Over 85 recipes to help you complete real-world data science projects in R and Python :
If you are an aspiring data scientist who wants to learn data science and numerical programming concepts through hands-on, real-world project examples, this is the book for you. Whether you are brand new to data science or you are a seasoned expert, you will benefit from learning about the structure of real-world data science projects and the programming examples in R and Python.
Author/Authors: Tattar, Prabhanjan | Ojeda, Tony | Murphy, Sean Patrick | Bengfort, Benjamin
Pages: 434 | Published Date: 42915
Category: Data
ISBN
9781787283671
Turn your noisy data into relevant, insight-ready information by leveraging the data wrangling techniques in Python and R :
If you are a data scientist, data analyst, or a statistician who wants to learn how to wrangle your data for analysis in the best possible manner, this book is for you. As this book covers both R and Python, some understanding of them will be beneficial.
Author/Authors: Visochek, Allan
Pages: 204 | Published Date: 43054
Category: Data
ISBN
9781785887772
Your hands-on guide to the fundamentals of deep learning and neural network modeling :
Deep Learning a trending topic in the field of Artificial Intelligence today and can be considered to be an advanced form of machine learning, which is quite tricky to master. This book will help you take your first steps in training efficient deep learning models and applying them in various practical scenarios. You will model, train, and deploy different kinds of neural networks such as Convolutional Neural Network, Recurrent Neural Network, and will see some of their applications in real-world domains including computer vision, natural language processing, speech recognition, and so on. You will build practical projects such as chatbots, implement reinforcement learning to build smart games, and develop expert systems for image captioning and processing. Popular Python library such as TensorFlow is used in this book to build the models. This book also covers solutions for different problems you might come across while training models, such as noisy datasets, small datasets, and more. This book does not assume any prior knowledge of deep learning. By the end of this book, you will have a firm understanding of the basics of deep learning and neural network modeling, along with their practical applications.
Author/Authors: Di, Wei | Bhardwaj, Anurag | Wei, Jianing
Pages: 284 | Published Date: 43130
Category: Data
ISBN
9781788830850
A practitioner's guide to securing connected industries :
This book provides you with a comprehensive understanding of Industrial IoT security; and practical methodologies to implement safe, resilient cyber-physical systems. It will help you develop a strong foundation and deeper insights on the entire gamut of securing connected industries, from the edge to the cloud.
Author/Authors: Bhattacharjee, Sravani
Pages: 324 | Published Date: 43311
Category: IoT & Hardware
ISBN
9781785880292
A practical, indispensable security guide that will navigate you through the complex realm of securely building and deploying systems in our IoT-connected world :
This book targets IoT product designers, IT security professionals and security engineers (including pentesters, security architects, and ethical hackers) who would like to ensure the security of their organization's data when connected through the IoT. Whether for home or industrial settings, product managers and software engineering managers will also find it useful.
Author/Authors: Russell, Brian | Duren, Drew Van
Pages: 336 | Published Date: 42550
Category: IoT & Hardware
ISBN
9781788295598
Build standalone exciting IoT projects with Raspberry Pi 3 and JavaScript (ES5/ES6) :
In this world of technology upgrades, IoT is currently leading with its promise to make the world a more smarter and efficient place. This book will show you how to build simple IoT solutions that will help you to understand how this technology works. We would not only explore the IoT solution stack, but we will also see how to do it with the world’s most misunderstood programming language - JavaScript. Using Raspberry Pi 3 and JavaScript (ES5/ES6) as the base to build all the projects, you will begin with learning about the fundamentals of IoT and then build a standard framework for developing all the applications covered in this book. You will then move on to build a weather station with temperature, humidity and moisture sensors and further integrate Alexa with it. Further, you will build a smart wearable for understanding the concept of fall detection. You will then extend it with the 'If This Then That' (IFTTT) rules engine to send an email on fall detection. Finally, you will be working with the Raspberry Pi 3 camera module and surveillance with a bit of facial detection using Amazon Rekognition platform. At the end of the book, you will not only be able to build standalone exciting IoT applications but also learn how you can extend your projects to another level.
Author/Authors: Ravulavaru, Arvind
Pages: 296 | Published Date: 43091
Category: IoT & Hardware
