“…Andrew Meredith, Intrinsitech Corporation Functional Programming in JavaScript teaches you techniques to improve your web applications: their extensibility, modularity, reusability, and testability, as well as their performance. This easy-to-read book/course uses concrete examples and clear explanations to show you how to use functional programming in real life. …”

“…Master the skills required to design, implement, and manage ML architectures, data pipelines, and metric interpretations, as well as optimize model performance through training, retraining, deploying, scheduling, monitoring, and refining models in scalable and efficient ways. …”

“…The purpose is to validate that each unit of the software code performs as expected. You will discover the basics of unit testing and the red-green-refactor cycle. …”

“…Together, the contributors identify three spheres in which technology shapes how investors make sense of such issues: ESG and Technology: finance professionals need to know about how technological innovations, such as chemical recycling for plastics, in the real economy shape firms' ESG performance; ESG through Technology: technological developments, such as AI and blockchain, can enable finance professionals to offer more fine-grained ESG analyses; and ESG as Technology: the ESG agenda itself is influenced by technological developments that are not well understood by practitioners (e.g., data-mining for Bitcoin creating significant emissions). …”

“…It will train current and aspiring product managers how to perform market research, understand a product life-cycle process, and successfully define, develop, launch, and promote new products. …”

“…But when done in the right way and at the right times, it enables you to perform at your best. Let's discover how to turn asking for help from uncomfortable to empowering. …”

“…Our working lives are full of potential changes that would significantly impact our productivity, performance or well-being if we made them. If you're not in a leadership position, though, you might not always feel like you can push for those positive changes. …”

“…More complicated data analyses, like those covered by this course, can also be performed with SQL, saving time and computational resources while addressing more complicated problems. …”

“…An AWS Paid Account to be able to perform the exercises and following along with the demonstrations. …”

“…About the Technology Originally designed for high-performance data science, Julia has become an awesome general purpose programming language. …”

“…With engineering leaders under increasing pressure to quantify engineering performance, there’s no shortage of opinions or frameworks suggesting which engineering metrics matter most. …”

“…About the Technology Originally designed for high-performance data science, Julia has become an awesome general purpose programming language. …”

“…Build super fast and super secure microservices with the gRPC high-performance messaging protocol and powerful Go language. …”

“…Keep sensitive user data safe and secure without sacrificing the performance and accuracy of your machine learning models. …”

“…It has a million things to think about, and emotions to process, it cannot be relied on to remember to perform the hundreds of administrative tasks you need it to each day. …”

“…You will learn to use popular Python libraries such as Pandas, Matplotlib, Seaborn, and Scikit-learn to analyze and visualize data, perform statistical analysis, and build predictive models. …”

“…You'll also discover fresh insights on data structure performance that takes account of modern CPUs. Plus, the book's fully annotated code samples have been updated to Python 3. …”

“…What's Inside Gaussian processes for sparse and large datasets Strategies for hyperparameter tuning Identify high-performing regions Examples in PyTorch, GPyTorch, and BoTorch About the Reader For machine learning practitioners who are confident in math and statistics. …”

“…In Software Mistakes and Tradeoffs you will learn how to: Reason about your systems to make intuitive and better design decisions Understand consequences and how to balance tradeoffs Pick the right library for your problem Thoroughly analyze all of your service's dependencies Understand delivery semantics and how they influence distributed architecture Design and execute performance tests to detect code hot paths and validate a system's SLA Detect and optimize hot paths in your code to focus optimization efforts on root causes Decide on a suitable data model for date/time handling to avoid common (but subtle) mistakes Reason about compatibility and versioning to prevent unexpected problems for API clients Understand tight/loose coupling and how it influences coordination of work between teams Clarify requirements until they are precise, easily implemented, and easily tested Optimize your APIs for friendly user experience Code performance versus simplicity. …”

“…In general, the author argues that the victim of contractual breach should have a stronger right to enforced performance of the contract, and that he should have easier access to damages and receive a larger amount of damages if he is the victim of deliberate breach of contract. …”