“…Using fundamentals covered in earlier chapters, the book then focuses on two pillars of asset-liability management: economic value of equity and net interest income and explains them in rich detail. …”

“…Learn the core mathematical concepts for machine learning and learn to implement them in R and Python About This Video Linear algebra notation is used in machine learning to describe the parameters and structure of different machine learning algorithms. …”

“…Templates form the foundation of modern C++ programming; they must be understood, not only to use the Standard Library, but to take advantage of many of the features found in C++11 and C++14. …”

“…Andrew Hoffman, a senior security engineer at Salesforce, introduces three pillars of web application security: recon, offense, and defense. …”

“…This book will bring into focus these and other deep learning architectures and techniques to help you create solutions using Keras and the TensorFlow library. You'll also review mutliple neural network architectures, including LeNet, AlexNet, VGG, Inception, R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN, YOLO, and SqueezeNet and see how they work alongside Python code via best practices, tips, tricks, shortcuts, and pitfalls. …”

“…You'll explore Facebook's social graph and learn how it structures data; as well as discover how to use Python and Facebook's Graph API to connect to and query the social graph for page and user data, and pick up some experience manipulating and visualizing Facebook data using the powerful Python libraries, pandas and matplotlib. The course is taught by data scientist Mikhail Klassen and is based on content from Matthew Russell's book, "Mining the Social Web" (O'Reilly Media). …”

“…With over 600 services available to over 44 geographic regions, it would take a library of books to cover the entire Azure ecosystem. …”

“…You will: Implement the Hexo framework in a project Customize and extend content Consider maintenance requirements and how they compare to other blog systems Apply skills to practical, real-world projects Create themes and build plugins Make changes using other tools and libraries…”

“…Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build scalable natural language processing (NLP) applications using deep learning and the Apache Spark NLP library. Through concrete examples, practical and theoretical explanations, and hands-on exercises for using NLP on the Spark processing framework, this book teaches you everything from basic linguistics and writing systems to sentiment analysis and search engines. …”

“…Contains extensive information on the relevant vertical technological pillars and horizontal architectural extensions. Reflects the author's hands-on experience in industrial standardisation, and academic and applied research. …”

“…Svelte.js is a great alternative to JavaScript frameworks and libraries such as React.js, Angular, or Vue for building highly reactive, modern user interfaces for the web. …”

“…It entered the business world in the twenty-first century through agile software development, design thinking and lean startup method, the pillars of the contemporary startup industry. Startup incubators today are filled with hacker entrepreneurs, running fast, cheap experiments to push against the limits of the unknown. …”

“…You will: Understand beginning and more advanced concepts of the Python language Be introduced to data analysis using pandas, the Python Data Analysis library Walk through the process of interviewing and answering technical questions Create real-world applications with the Python language Learn how to use Anaconda, Jupyter Notebooks, and the Python Shell…”

“…In the tradition of Alex Osterwalder’s global bestseller Business Model Generation, this practical guide contains a library of hands-on techniques for rapidly testing new business ideas. …”

“…This lesson introduces you to TensorFlow, Google’s powerful open source software library for deep learning. What you’ll learn—and how you can apply it Learn how TensorFlow makes it easy for developers to design, build, and train deep learning models. …”

“…Control your browser using Selenium, to scrape websites or even fill in forms Learn to interact with REST APIs and build a currency exchange program Create desktop GUIs using Tkinter, so your users can work with your applications very easily Start working with unit testing in Python by learning about the unit test library We've also completely re-recorded the course's introductory Python material, so it's even clearer and more straightforward! …”

“…Learners should be familiar with basic deep learning concepts like the multilayer perceptron, linear algebra, Jupyter notebooks, and the basics of building and running TensorFlow programs. …”

“…Storing artifacts makes them accessible to others for use as libraries or deployable packages; storing artifacts also alleviates the need to recreate artifacts from source code. …”

“…Once you have completed this computer based training course, you will be fully capable of using the tools and techniques in Photoshop Elements 13 to effectively organize, manage, and manipulate your digital image library. Working files are included, allowing you to follow along with the author throughout the lessons…”

“…Prerequisites include a basic understanding of linear algebra and calculus. Learn what deep learning neural networks are, what they're used for, and why they're powerful Discover the particular structure of neural networks and why it matters Explore the basic concepts used in building and training neural networks Develop a solid platform for learning more about deep learning and neural networks Laura Graesser is assisting with NVIDIA's autonomous driving project. …”