“…Implementation: during this stage, programmers must sanitize all program input (the character streams representing a programs' entire interface with its environment -- not just the command lines and environment variables that are the focus of most security analysis). …”

“…The Capstone/Foundation Decision: Should you concentrate development efforts on a few high-potential individuals, or spread resources across a broader section of your overall leadership bench? The Stream or Pool Decision: Should you identify successor candidates for specific leadership positions, or retain pools of potential leaders who may be qualified for any of a number of leadership positions as they become available? …”

“…What You Will Learn Set up and run the BeagleBone Black for the first time Get to know the basics of microcomputing and Linux using the command line and easy kernel mods Develop a simple web interface with a LAMP platform Prepare complex web interfaces in JavaScript and get to know how to stream video data from a webcam Find out how to use a GPS to determine where your sailboat is, and then get the bearing and distance to a new waypoint Use a wind sensor to sail your boat effectively both with and against the wind Build an underwater ROV to explore the underwater world See how to build an autonomous Quadcopter In Detail BeagleBone is a microboard PC that runs Linux. …”

“…As you advance, you'll gain insights into asynchronous socket programming and streams, and explore debugging and error handling. …”

“…Some session to note: OS for AI: How Serverless Computing Enables the Next Gen of ML—Jon Peck pomegranate: Fast and Flexible Probabilistic Modeling in Python—Jacob Schreiber Data Wrangling to Provide Solar Energy Access Across Africa—Brianna Schuyler, PhD The past, present, and future of Automated Machine Learning—Randy Olson, PhD Minimizing and Preventing Bias in AI—Frances Haugen Deep Learning on Mobile—Anirudh Koul State of the Art Natural Language Understanding at Scale—David Talby, PhD Latest Developments in GANS—Seth Weidman How to Reason About Stateful Streaming Machine Learning Serving—Lessons from Production—Patrick Boueri An Introduction to Active Learning—Jennifer Prendki, PhD How to use Satellite Imagery to be a Machine Learning Mantis Shrimp—Sean Patrick Gorman, PhD Core Data Science and Data Visualization As data science advances at a rapid pace, core skills are more important than ever. …”

“…Skill Level Beginner/Intermediate Learn How To Understand when and how to use OpenShift depending on your environment Install the various versions of OpenShift Create applications from the web console Creating resources using the oc command line utility Use source-to-image to automatically build containers from the source code Use software-defined networking and using SDN in OpenShift Work with applications, including scaling Handle pod scheduling Manage images, image streams, and OpenShift templates Set up OpenShift storage Who Should Take This Course IT professionals that..…”

“…It includes Sandeep Uttamchandani's (Intuit) talk on the three patterns to best manage data dictionaries; Simona Meriam's (Nielsen) review of the best techniques to manage Spark-Kafka consumer offsets in a relational database; Guoqiong Song's (Intel) talk on LSTM-based time series anomaly detection using Analytics Zoo for Spark and BigDL; Wolff Dobson's (Google) update on TensorFlow's best practices; and a host of other talks covering the latest in data engineering and architecture; data science, machine learning and AI; data law and ethics; data streaming and Iot; and data visualization and UX. Highlights include: Hours of Strata London 2019's best keynotes, tutorials, and technical sessions to study and absorb on your own schedule. …”

“…Hours of tutorials from the world's top data engineers, such as Francesca Lazzeri (Microsoft) and Holden Karau (Google) on training and deploying models with Kubeflow across different cloud vendors; Dean Wampler (Lightbend) on performing machine learning using Kafka-based streaming pipelines; and Jason Dai (Intel) on the Analytics Zoo, an analytics/AI platform that seamlessly unites Spark, TensorFlow, Keras, and BigDL programs into an integrated pipeline. …”

“…Part 2 covers the .NET Standard APIs, such as managing and querying data, monitoring and improving performance, working with the filesystem, async streams, serialization, and encryption. Part 3 provides examples of cross-platform applications you can build and deploy, such as web apps using ASP.NET Core or mobile apps using Xamarin.Forms. …”

“…What you will learn Understand why microservices are important in the digital economy Analyze how MicroProfile addresses the need for enterprise Java microservices Test and secure your applications with Eclipse MicroProfile Get to grips with various MicroProfile capabilities such as OpenAPI and Typesafe REST Client Explore reactive programming with MicroProfile Stream and Messaging candidate APIs Discover and implement coding best practices using MicroProfile Who this book is for If you're a Java developer who wants to create enterprise microservices, this book is for you. …”

“…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. …”

“…Then, move on to finding out the key aspects—and hidden gotchas—of iCloud’s core features, including: Photo features: iCloud Photog, My Photo Stream, and iCloud Photo Sharing Family Sharing iTunes Match and iCloud Music Library iCloud Drive (including folder sharing and the Files app for iOS and iPadOS) Mail and Mail Drop Contacts, Calendars, Reminders, and Notes iCloud Keychain the iCloud website Location features: Find My Device , Find My Friends, and the Find My app Two-factor authentication Activation lock Backing up and restoring data This edition not only covers the changes to iCloud in macOS 10.15 Catalina, iOS 13, and iPadOS 13 but is also up to date (as of August 2020) with macOS 11 Big Sur, iOS 14, and iPadOS 14. …”

“…Basic knowledge of enterprise IT and some intermediate knowledge of identifying digital revenue streams or internal transformation opportunities are required to get started with this book…”

“…Deep dive tutorials, including Jason Dai (Intel) on building deep learning apps for big data with the Analytics Zoo AI platform; Chaoran Yu (Lightbend) on doing machine learning (ML) with Kafka-based streaming pipelines; and Justina Petraityte (Rasa) on developing intelligent AI assistants based entirely on ML with open source Rasa NLU and Rasa Core. …”

“…Video Lessons are available for download for offline viewing within the streaming format. Look for the gre..…”

“…As you progress, you will cover relevant cases with working code, before going on to understand how to use OpenCV, TensorFlow and Keras to analyze video streaming from car cameras. Later, you will learn how to interpret and make the most of lidars (light detection and ranging) to identify obstacles and localize your position. …”

“…Discover how to take visually impressive photos using the cameras built into your iPad, iPad mini, or iPhone, and then share them using iCloud Shared Photo Streams, Facebook, Twitter, email, or other methods. …”

“…He then moves on to coverage of stings, and files and streams in C#. The last lesson ends with an exploration of generics. …”

“…Skill Level Beginner-to-Intermediate What you Will Learn Start with an introduction to JavaTM using an early classes and objects approach, then rapidly move on to more advanced topics, including GUI, graphics, exception handling, lambdas, streams, functional interfaces, object serialization, concurrency, generics, generic collections, JDBCTM and more. …”

“…What you will learn Explore specific patterns in model serving that are crucial for every data science professional Understand how to serve machine learning models using different techniques Discover the various approaches to stateless serving Implement advanced techniques for batch and streaming model serving Get to grips with the fundamental concepts in continued model evaluation Serve machine learning models using a fully managed AWS Sagemaker cloud solution Who this book is for This book is for machine learning engineers and data scientists who want to bring their models into production. …”