Data Science Archives - aster.cloud

7 min

The Benefits And Core Processes Of Data Wrangling

Data wrangling, also known as data munging, is the process of cleaning, transforming, and organizing raw data for further analysis and integration. In this article, I will explore the significance and benefits of data wrangling, the process of making raw data usable for different end users, and the application of data wrangling in AI and machine learning. Let’s start by taking a closer look at data wrangling and its significance in finance. With a predicted market size of 103B in 2027 according to Statista, unlocking big data’s full potential is more relevant than ever. As big data continues to evolve, companies…

4 min

10 Free Resources To Become A Health Data Scientist

Becoming a health data scientist can be challenging, but it is an incredibly rewarding career choice. The rapidly growing field of health data science merges statistical analysis, data visualization, and machine learning to gain insights from healthcare data. However, becoming a health data scientist can be costly. In this article, I present a wide range of resources, such as online courses, textbooks, and tutorials, that are available to help you acquire the necessary skills to become a health data scientist. Whether you are a beginner or just looking to deepen your understanding of health data science, these resources will provide…

6 min

Graph Data Science On Google Cloud: Neo4j Aurads And Vertex AI

In January, we previewed Neo4j’s and Google Cloud Vertex AI’s partnership in a blog about how you can use graphs for smarter AI when using Neo4j AuraDS to generate graph embeddings. This blog post garnered a lot of attention from data scientists looking to amplify their machine learning (ML) pipelines by feeding knowledge (graph features) of the graph to enhance the ML model’s predictability. Since then, Neo4j released a new 2.0 version of the Neo4j Graph Data Science Platform. This makes it incredibly simple to get started on Google Cloud with the general availability of Neo4j AuraDS, the Graph Data…

4 min

Engineering

Measure And Maximize The Value Of Data Science And AI Teams

Investing in Artificial Intelligence (AI) can bring a competitive advantage to your organization. If you’re in charge of an AI or Data Science team, you’ll want to measure and maximize the value that you’re providing. Here is some advice from our years of experience in the field. A checklist to embark on a project: As you embark on projects we’ve found it’s good to have the following areas covered: Have a customer. It’s important to have a customer for your work, and that they agree with what you’re trying to achieve. Be sure to know what value you’re delivering to…

7 min

Intro To Data Science On Google Cloud

While you likely know that data science is the practice of making data useful, you may not have a clear landscape around the tools that can aid each stage of the data science workflow as you use machine learning to tackle your challenges. Click to enlarge Read on to discover the six broad areas that are critical to the process of making data useful, and some corresponding Google Cloud products and services for those areas. Data engineering Perhaps the greatest missed opportunities in data science stem from data that exists somewhere, but hasn’t been made accessible for use…

4 min

Top Programming Languages: Most Popular And Fastest Growing Choices For Developers

SlashData’s latest Developer Nation report looks at the popularity of programming languages and trends from the global developer community. JavaScript is now used by more than 16.4 million developers globally, says a survey of more than 19,000 coders – making it the world’s most popular programming language “by a wide margin”. SlashData’s 21st State of the Developer Nation Report examined global software developer trends across 160 countries during Q3 2021, covering programming languages, tools, APIs, apps and technology segments, as well as attitudes of developers themselves. The report also looked at developer involvement in 5G and IoT, specifically how programmers were taking…

4 min

Visual Studio Code for Python and Data Science? Top 3 Plugins You Must Have

Is it the best code editor for Python and Data Science? Are you struggling to find an optimal code editor for Python programming and data science? You’re not alone. There’s a ton of options to choose from — both free and paid — and today I’ll show you my favorite free one. It’s Visual Studio Code — a completely free code editor from Microsoft. It’s by far the most flexible and feature-rich code editor I found. It even has more features than PyCharm Community, which is supposed to be a professional IDE. And don’t even get me started on Jupyter —…

4 min

Rackspace Technology Collaborates With Blackline Safety To Expand Core Infrastructure To Support Rapid Growth And Industrial Contact Tracing Solution

Rackspace TechnologyTM (NASDAQ: RXT), a leading end-to-end, multicloud technology solutions company, announced its collaboration with Blackline Safety Corp. (TSX.V: BLN), a global leader of gas detection and connected safety solutions, to help drive critical software innovation and platform improvements that will support its expanding customer base and employee contact tracing solution. Blackline Safety provides wearable safety technology, personal and area gas monitoring, cloud-connected software, data science services and data analytics to leading enterprises around the world. In early 2020, as the COVID-19 pandemic started to take hold, Blackline saw an urgent need to support its customers’ ongoing safety needs with…

2 min

PyCon 2019 | Pandas Is For Everyone

PyCon 2019 | Pandas Is For Everyone Speaker: Daniel Chen Data Science and Machine learning have been synonymous with languages like Python. Libraries like Numpy and Pandas have become the de facto standard when working with data. The DataFrame object provided by Pandas gives us the ability to work with heterogeneous unstructured data that is commonly used in “”real world”” data. New learners are often drawn to Python and Pandas because of all the different and exciting types of models and insights the language can do and provide, but are awestruck when faced with the initial learning curve. This…

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