Tag: data science

Feed: R-bloggers. Author: Lou Bajuk. [This article was first published on RStudio Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. RStudio has worked with hundreds of different data science teams, and we’ve seen three key strategies that help maximize their productivity and impact: Adopting open source as the core of their work Leading with a Code-First approach Implementing a centralized data science infrastructure Collectively, we call this approach Serious Data Science. In ... Read More

Feed: SingleStore Blog. Author: . Oliver Schabenberger, Chief Innovation Officer at SingleStore sat down with David Yakobovitch, publisher of the HumAin Podcast and Head of Education and Training at Singlestore to discuss the role data science plays in making breakthrough innovation possible. Listen to the full episode, or read the transcript below.David YakobovitchWelcome to our newest season of HumAIn podcast in 2021. HumAIn is your first look at the startups and industry titans that are leading and disrupting ML and AI, data science, developer tools, and technical education. I am your host David Yakobovitch, and this is HumAIn. If you ... Read More

Feed: R-bloggers. Author: Narayana Nemani. [This article was first published on R-posts.com, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Learn Data Science with R is for learning the R language and data science. The book is beginner-friendly and easy to follow. It is available for download as a book giveaway offer for a limited period. The book topics are – R Language Data Wrangling with data.table package Graphing with ggplot2 package Exploratory ... Read More

Feed: Teradata Blog. Chris, a top-rated data scientist at ACME Bank, is responsible for supporting one of the key corporate business initiatives for increasing the number of per-customer bank services. He had created multiple predictive models, using a proven open source predictive algorithm, against a set of sample data. The models include the customers’ transactional behavior and more importantly, the potential for cross selling other bank services to customers. He trained and validated the models and was confident that the models will be effective in achieving their goals once they are scored against every customer data in production. Mission accomplished?  ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Imenso Software. Nowadays, data has become very important in all industries, and that is why thousands of companies hailing from multiple sectors are resorting to data analytics tools. Using BI and data analysis tools can prove to be helpful for businesses in any sector, as it is. Even the sports sector can benefit a lot from the implementation of proper BI solutions and technologies. Businesses hailing from this sector can gain from hiring the right Power BI consulting services. Why is using BI tools in the sports sector necessary? These days, sports ... Read More

Feed: SAS Blogs. Author: Eduvigis Ortiz. En los últimos años hemos asistido a un importante avance en la presencia de mujeres en distintos campos de las disciplinas STEM, como la ciencia de datos. Sin embargo, queda un largo camino por recorrer para lograr que las niñas y jóvenes tomen en consideración de forma mayoritaria ámbitos como la tecnología, los datos o la seguridad como opciones válidas para desarrollar su carrera profesional. Precisamente por eso tienen tanto valor iniciativas como el evento WiDS (Women in Data Science), que congrega a algunas de las mujeres más relevantes del sector para hablar de ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Joydeep Bhattacharya. Data science and AI has become a requirement for business growth. The technology has advanced enough to predict customer’s choices and satisfy their needs.  The volume of data generated per day is predicted to reach 463 exabytes by 2025. On the Internet, the world spends about $1 million per minute on goods. This huge amount of data, known as big data, has increased the need for qualified data science workers.  According to the US Bureau of Labor Statistics, the employment of data scientists is predicted to grow 15% by ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Michael Kevin Spencer. Photo credit: Unsplash. Data Science is an exciting field for knowledge workers because it increasingly intersects with the future of how industries, society, governance and policy will function. While it's one of those vague terms thrown around a lot for students, it's actually fairly simple to define. Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data, and apply knowledge and actionable insights from data across a broad range of application domains. Data science ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: Aileen Scott. Worldwide the necessity of data science has become very vital in many industries, they are using it to grab valuable insights to stay ahead of the competition. Each industry has a massive amount of data that they don’t know what to do with it. The need for professionals in data science has grown immensely in all industries because only they can understand the data. People who choose a career path in data science can prove their skills in big data platforms by doing certification programs through several learning institutions ... Read More

Feed: Featured Blog Posts - Data Science Central. Author: akash. Ever thought about what would have been our world without data science? Many and many things would have been different. Understanding customers has been only possible in person; experience would have been the only critical factor to take new risks without knowing or predicting the ultimate outcomes.  Thanks to AI and machine learning, they stand today: tracking and analyzing data can never be this easy without them. With a few clicks, one can generate very accurate data using various filters to differentiate the odds.  Introduction But the small businesses are ... Read More