Collaborating Authors


iiot bigdata_2022-05-27_03-56-20.xlsx


The graph represents a network of 1,040 Twitter users whose tweets in the requested range contained "iiot bigdata", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 27 May 2022 at 11:01 UTC. The requested start date was Friday, 27 May 2022 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 2-day, 18-hour, 9-minute period from Tuesday, 24 May 2022 at 05:50 UTC to Thursday, 26 May 2022 at 23:59 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.

Python for Machine Learning


This book was designed around major building blocks of the Python ecosystem that are useful to machine learning projects. There are a lot of things you could learn about Python, from language mechanics to the various libraries. Our goal is to take you straight to developing an intuition for the elements you can use in Python projects with laser-focused tutorials. We designed the tutorials to focus on how to get things done with Python. They give you the tools to both rapidly understand and apply each technique or operation. Each tutorial is designed to take you about one hour to read through and complete, excluding the extensions and further reading. You can choose to work through the lessons one per day, one per week, or at your own pace. I think momentum is critically important, and this book is intended to be read and used, not to sit idle. I would recommend picking a schedule and sticking to it.

How AI makes developers' lives easier, and helps everybody learn to develop software


Ever since Ada Lovelace, a polymath often considered the first computer programmer, proposed in 1843 using holes punched into cards to solve mathematical equations on a never-built mechanical computer, software developers have been translating their solutions to problems into step-by-step instructions that computers can understand. Today, AI-powered software development tools are allowing people to build software solutions using the same language that they use when they talk to other people. These AI-powered tools translate natural language into the programming languages that computers understand. "That allows you, as a developer, to have an intent to accomplish something in your head that you can express in natural language and this technology translates it into code that achieves the intent you have," Scott said. "That's a fundamentally different way of thinking about development than we've had since the beginning of software."

25 Best Pluralsight Courses Online [Bestseller Courses 2022]


In this course, you will how to leverage Azure's Machine Learning capabilities to greatly increase the chance of success for your data science project. First, you will engage in team workflow and how Microsoft's Team Data Science Process (TDSP) enables best practices across disciplines. Then, you will discover the workflow of the Azure Machine Learning Service and how it can be leveraged on your project. You will also review how to create a pipeline for your data preparation, model training, and model registration. At the end of this course, you will explore the infrastructure approaches that can be leveraged for machine learning and how those approaches are supported on Azure.

3 + 1 ways of running R on Amazon SageMaker


The R programming language is one of the most commonly used languages in the scientific space, being one of the most commonly used languages for machine learning (probably second following python) and arguably the most popular language amongst mathematicians and statisticians. It is easy to get started with, free to use, with support for many scientific and visualisation libraries. While R can help you analyse your data, the more data you have the more compute power you require and the more impactful your analysis is, the more repeatability and reproducibility is required. Analysts and Data Scientists need to find ways to fulfil such requirements. In this post we briefly describe the main ways of running your R workloads on the cloud, making use of Amazon SageMaker, the end-to-end Machine Learning cloud offering of AWS.

Methods Included

Communications of the ACM

Although workflows are very popular, prior to the CWL standards, all workflow systems were incompatible with each other. This means that users who do not use the CWL standards are required to express their computational workflows in a different way each time they use another workflow system, leading to local success but global unportability. The success of workflows is now their biggest drawback. Users are locked into a particular vendor, project, and often a specific hardware setup, hampering sharing and reuse. Even non-academics suffer from this situation, as the lack of standards, or their adoption, hinders effective collaboration on computational methods within and between companies.

New Programming Language Gen by MIT Makes AI More Accessible


The future of technology is all about Artificial Intelligence. The rapidly growing trends of the industry would open doors to various opportunities and new developments. For instance, voice recognition and motion sensors have become built-in features in most devices and people expect to see more of what is coming. Being a major part of computer studies, Artificial Intelligence primarily focuses on the development of machines, which are programmed to work and think like humans. The technology consists of speech recognition, problem-solving, learning, and planning.

Python PCAP-31-03 Certified Associate in Python Programming


The Practice Questions are dedicatedly designed from a certification exam perspective. The collection of these questions from our Study Guides are prepared to keep the exam blueprint in mind, covering not only important but necessary topics as well. It's an ideal Way to practice and revise your certification. PCAP – Certified Associate in Python Programming certification focuses on the Object-Oriented Programming approach to Python, and shows that the individual is familiar with the more advanced aspects of programming, including the essentials of OOP, the essentials of modules and packages, the exception handling mechanism in OOP, advanced operations on strings, list comprehensions, lambdas, generators, closures, and file processing. PCAP certification gives its holders confidence in their programming skills, helps them stand out in the job market, and gives them a head start on preparing for and advancing to the professional level.

My First Impression Trying Python on Browser


Whenever we debate with other devs about the best programming language, we talk about JavaScript and Python for hours. Both are powerful, flexible languages that are dominating the world today. But a dead end to Python is its inability to run on browsers. JavaScript (JS), with the discovery of Node, runs on almost any platform. It even has modules to build machine learning algorithms.