Enterprises looking to build robust, reliable, and performant applications are increasingly turning to Angular, a cross-platform solution for building mobile, desktop, and web apps. In this instructive guide, Lukas Ruebbelke ... - Selection from Why Angular for Enterprise Develo … | Continue reading
Adversarial images aren’t a problem—they’re an opportunity to explore new ways of interacting with AI. | Continue reading
Any programmer working with a dynamically typed language will tell you how hard it is to scale to more lines of code and more engineers. That’s why Facebook, Google ... - Selection from Programming TypeScript [Book] | Continue reading
Any programmer working with a dynamically typed language will tell you how hard it is to scale to more lines of code and more engineers. That’s why Facebook, Google ... - Selection from Programming TypeScript [Book] | Continue reading
As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn’t trick a human presents a new attack vector ... - Selection from Strengthening Deep Neural Networks [Book] | Continue reading
Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. | Continue reading
Google SRE Stephen Thorne shares best practices for starting an SRE team at your company. | Continue reading
Breaking up Facebook won't solve the disinformation or privacy problems. It might well make it harder for Facebook to work on those problems. | Continue reading
Programmers have built great tools for others. It’s time they built some for themselves. | Continue reading
Bridging the gap between competence and proficiency | Continue reading
Danielle Dean explains how cloud, data, and AI came together to help build Automated ML. | Continue reading
Tony Jebara explains how Netflix is personalizing and optimizing the images shown to subscribers. | Continue reading
If you're familiar with financial trading and know Python, you can get started with basic algorithmic trading in no time. | Continue reading
The secret to successful infrastructure automation is people. | Continue reading
Apply modular system design principles while avoiding the operational complexity of microservices. | Continue reading
Tap into the wisdom of experts to learn what every programmer should know, no matter what language you use. With the 97 short and extremely useful tips for programmers in ... - Selection from 97 Things Every Programmer Should Know [Book] | Continue reading
Theresa Johnson outlines the AI powering Airbnb’s metrics forecasting platform. | Continue reading
Our entire economy seems to have forgotten that workers are also consumers, and suppliers are also customers. | Continue reading
Much like human speech, bird song learning is social; perhaps we'll discover machine learning is social, too. | Continue reading
Why have stream-oriented data systems become so popular, when batch-oriented systems have served big data needs for many years? In this report, author Dean Wampler examines the rise of streaming ... - Selection from Fast Data Architectures for Streaming Applications [Book] | Continue reading
A case study for mixing different data models within the same data store. | Continue reading
Technological change often happens gradually, then suddenly. Tim O'Reilly explores the areas poised for sudden shifts. | Continue reading
How lions, tigers, and tarsiers went geek. | Continue reading
With any comprehensive, large-scale programming language, if you’re not careful during your development processes, you can end up with a bloated, poorly performing application. This course examines techniques and ... - Selection from Optimizing Java [Video] | Continue reading
Inspiration from the brain is extremely relevant to AI; it’s time we pushed it further. | Continue reading
A look at the roles of architect and strategist, and how they help develop successful technology strategies for business. | Continue reading
Regular Expressions for Tokenizing Text Tokenization is the task of cutting a string into identifiable linguistic units that constitute a piece of language data. Although it is a fundamental task ... - Selection from Natural Language Processing with Python [Book] | Continue reading
How to observe what your customers are already doing and turn those habits into the basis for product ideas. | Continue reading
Cassie Kozyrkov explores why businesses fail at machine learning despite its tremendous potential and excitement. | Continue reading
The economy we want to build must recognize increasing the value to and for humans as the goal. | Continue reading
Hilary Mason explores the current state of AI and ML and what’s coming next in applied ML. | Continue reading
Dan Romuald Mbanga walks through the ecosystem around the machine learning platform and API services at AWS. | Continue reading
Paco Nathan shares a few unexpected things that emerged in Jupyter in 2018. | Continue reading
Five must-haves for robust, debuggable production code. | Continue reading
Get a basic understanding of site reliability engineering (SRE) and then go deeper with recommended resources. | Continue reading
Tricks to visualize and understand how neural networks see. | Continue reading
The deployment of big data tools is being held back by the lack of standards in a number of growth areas. | Continue reading
Ways to bring designers and developers together to optimize user experience. | Continue reading
General intelligence or creativity can only be properly imagined if we peel away the layers of abstractions. | Continue reading
Practical examples of how to integrate personal and tool-based feedback into your code review process. | Continue reading
The Drivetrain Approach: A four-step process for building data products. | Continue reading
A new module for easing the pain of XML conversion. | Continue reading