“…Integrate Angular apps with Spring Boot Web API endpoints Deploy the web application based on CI and CD using Jenkins and Docker containers In Detail Spring is the most popular application development framework being adopted by millions of developers around the world to create high performing, easily testable, reusable code. Its lightweight nature and extensibility helps you write robust and highly-scalable server-side web applications. …”

“…Inside the pages of Objections , you’ll gain deep insight into: How to get past the natural human fear of NO and become rejection proof The science of resistance and why buyers throw out objections Human influence frameworks that turn you into a master persuader The key to avoiding embarrassing red herrings that derail sales calls How to leverage the “Magical Quarter of a Second” to instantly gain control of your emotions when you get hit with difficult objections Proven objection turn-around frameworks that give you confidence and control in virtually every sales situation How to easily skip past reflex r..…”

“…What you will learn Cover advanced and state-of-the-art neural network architectures Understand the theory and math behind neural networks Train DNNs and apply them to modern deep learning problems Use CNNs for object detection and image segmentation Implement generative adversarial networks (GANs) and variational autoencoders to generate new images Solve natural language processing (NLP) tasks, such as machine translation, using sequence-to-sequence models Understand DL techniques, such as meta-learning and graph neural networks Who this book is for This book is for data scientists, deep learning engineers and researchers, and AI developers who want to furthe..…”

“…You can feel confident using the reliable solutions that are demonstrated in this book in your personal or corporate environment. Java is a mature programming language that has been refined over the years into a productive and lucrative language for those with the skills to wield it. …”

“…Finally, this book also explores a subfield of natural language processing (NLP) called sentiment analysis, helping you learn how to use machine learning algorithms to classify documents. …”

“…In the concluding chapters, we will focus on a multitude of real-world case studies and problems associated with areas such as computer vision, audio analysis and natural language processing (NLP). By the end of this book, you will be able to implement both DL and transfer learning principles in your own systems. …”

“…What you will learn Implement RNNs and Long short-term memory for image classification and Natural Language Processing tasks Explore the role of CNNs in computer vision and signal processing Understand the ethical implications of deep learning modeling Understand the mathematical terminology associated with deep learning Code a GAN and a VAE to generate images from a learned latent space Implement visualization techniques to compare AEs and VAEs Who this book is for This book is for aspiring data scientists and deep learning engineers who want to get started with the fundamentals of deep learning and neural networks. …”

“…Python was created with beginners in mind, but don't let its simple nature fool you. It is used by professional developers in a wide range of applications, such as web programming, data analysis, machine learning, and DevOps. …”

“…Highlights include: Keynote speeches, including Eva Kaili (European Parliament) on data protection and innovation; Christine Foster (Alan Turing Institute) on building the data-driven future we want to live in; and Pierre Romera (ICIJ) on the challenges of sifting through 1.4 TB of data to produce journalism's headline generating "Paradise Papers" Sessions on Data Science and Machine Learning, including Jaya Mathew and Francesca Lazzeri (Microsoft) on using deep learning models for fraud detection; Ted Dunning (MapR Technologies) on AI Rendezvous technology; Paco Nathan (O'Reilly Media) and Ihab Ilyas (University of Waterloo) on HITL/human guided machine learning; Elisa Celis (EPFL) on fairness and diversity in online social systems; and David Talby (Pacific AI) on natural language understanding at scale with spaCy and Spark NLP Sessions on Data Engineering and Architecture, including Jim Webber (Neo4j) on Neo4j's new causal clustering architecture; Dean Wampler (Lightbend) on streaming microservices with Akka Streams and Kafka Streams; Flavio Junqueira (Dell EMC) on building stream pipelines with Pravega; and Jacques Nadeau (Dremio) on using Apache Arrow for high-speed data access The Strata Business Summit, including Executive Briefings on key issues such as predictive analytics and machine learning, Cloud strategy, governance security and privacy, and AI by luminaries such as Audrey Lobo-Pulo (The Australian Treasury), Kim Nilsson (Pivigo), Martin Goodson (Evolution AI), Simon Chan (Salesforce), and Ira Cohen (Anodot) FinData Day with sessions on using big da..…”

“…You'll learn advanced feature extraction techniques using natural language processing (NLP), classical ML techniques, and the secrets of both a great recommendation engine and a performant computer vision model using deep learning methods. …”

“…About the Instructor Shaun Wassell 's goal is to create a world where people are empowered to use programming as a way to solve meaningful problems—a world where writing code is just as natural for most people as walking or breathing. To help make this a reality, he has dedicated the past few years to helping people learn and master software-development skills through video courses, live training sessions, and one-on-one tutoring. …”

“…In this video training, Trisha provides hands-on techniques using a real application, Morphia, written in Java 6, to show when and how to apply the new features in Java 8 to an existing mature code base. Related Code Files: The code for this training can be found at https://github.com/mongodb/morphia. …”

“…Skill Level Intermediate - Advanced What You Will Learn How to use PowerShell as a data mining tool How to build a PowerShell GUI How to create charts using PowerShell How to build financial and IT dashboards How to build a number of interactive reports Who Should Take This Course IT professionals, system administrators, and developers Course Requirements Working knowledge of PowerShell Table of Contents Summaries: PowerShell for Business Intelligence and Big Data Analytics Lesson 1 is intended to be introductory in nature. This lesson explains what Business Intelligence is and how it is commonly used. …”

“…Coverage includes What IoT is and how it is transforming businesses Common IoT challenges, building blocks, and architectures Core IoT networking protocols, including the 802.15.4 and LPWA families Models for protecting security and integrity in IoT networks Simple, low-cost IoT networks for homes and small businesses IPv6 adaptations for low power and lossy IoT networks IoT management protocols, including CoAP, MQTT, and SCADA Moving processing to the edge and to the “fog” layer Using data analytics to maximize the value of IoT systems Analyzing IoT data with Hadoop, Kafka, Spark, and the Hadoop ecosystem Industry-specific techniques, smart objects, protocols, and analytic techniques IoT for utilities, the smart grid, and energy efficiency IoT for connected and self-driving cars, mass transit, and cargo transportation IoT for manufacturing: reducing cost and accelerating delivery IoT for smart and connected cities: lighting, parking, and public safety IoT for safer, more efficient oil/gas production and mining Skill Level All levels Learn How To Plan, organize, build, and deploy end-to-end IoT solutions Navigate today’s IoT product marketplace Use maturing IoT technologies to solve many business and technical problems Make sense of the full IoT protocol stack, from 802.15.4 and LPWA to IPv6 adaptations and management Archite..…”

“…It’s simple to get that harsh deer-in-the-headlights look from built-in automatic flash, but it is a far cry from beautiful light. Creating natural-looking images is not nearly as straightforward. …”

“…In the Intro to Data Science videos, Paul lays the groundwork for later lessons in which he’ll introduce some of today’s most compelling, leading-edge computing technologies, including natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® WatsonTM, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, sentiment analysis through deep learning with recurrent neural networks, big data with Hadoop®, SparkTM streaming, NoSQL databases and the Internet of Things. …”

“…Build and manage unique Minecraft configurations with their own versions, worlds, resource packs, and profiles Automate your farming: let a few pistons, a stream, and some redstone do all the dirty work for you Generate infinite ores on demand–even obsidian Take control of the mayhem with mob farms: mass-produce your own zombies, spiders, creepers, and skeletons Build in any style that inspires you: medieval, Victorian, Viking, Japanese, modern, suburban, you name it Create natural-looking terrain and trees, decorate with 2D pixel art, and build 3D statues Construct smarter, more efficient power and transportation systems Take Minecraft into the industrial and nuclear age... even go green with solar energy and wind farms Add computer systems and robotics control with ComputerCraft and Lua Create and share exciting adventure maps and learn the secrets of CommandBlocks Share your creation with the world via pro-quality video and audio Manage a multiplayer server and create your own trading society Make the most of powerful plug-ins for anti-griefing and more Stephen O’Brien is an Australian-born writer and entrepreneur now residing in Sydney after too many years in Silicon Valley. …”

“…Provides a framework or model for assessing and measuring the "maturity" of a particular startup community--"Where are we?" …”

“…The core technology class of a Serverless architecture is Functions-as-a-Service, and the most mature Functions-as-a-Service product is Lambda, from Amazon Web Services. …”

“…The speakers: more than 120 of the world's best from the fields of deep learning, machine learning, natural language processing, and the cloud. This group included more than 40 PhDs and 20 founders of early stage AI companies, the heads of AI related research at some of the world's most prestigious universities (MIT, Carnegie Mellon, UC Berkeley, University of Cambridge, NYU, George Washington, Stanford, Johns Hopkins, etc.), and the leaders of AI product development from many of the world's top technology companies (IBM, Intel, Google, Amazon, Facebook, NVIDIA, Microsoft, Salesforce, SAP, etc.). …”