You scan the weather report, settle on some clothes, and then grab a bite of breakfast – maybe cereal with milk. You might check a traffic update and then plan your route to school or work accordingly.doi:10.1007/978-1-4842-5766-1_1Philip MeitinerPradeeka Seneviratne...
Introducing Data Science 作者: Davy Cielen / Arno Meysman 出版社: Manning Publications副标题: Big Data, Machine Learning, and more, using Python tools出版年: 2016-1-31页数: 325定价: USD 44.99装帧: PaperbackISBN: 9781633430037豆瓣评分 评价人数不足 ...
《Introducing_Translation_Studies_笔记》.pdf Introducing Translation Studies Theories and applications Jeremy Munday Chapter 1: Main issues of translation studies: 1. Jacobson’s categories of translation: a. Intralingual; b. Interlingual; c. Intersemiotic (verbal non-verbal). 2. History of the...
Bridging the gap: Data science and business decisions AI’s real value comes from its day-to-day applications in your business. The Amazon Bedrock ML Connector does exactly that—bridging the gap between intricate data models and daily business decision-making. It allows data scientists to make ...
“Generative AI has brought data to the forefront of discussions even among executives outside the data space. The ease of use and increasing value of generative AI applications have made data and AI more accessible to business-focused leaders. This convergence of art and ...
Not every Data Scientist will have to decide between Python or R. I constantly see discussions around that matter, some of them annoying, some quite funny. But the truth is that there are and there…
Introducing KeyLLM! An extension to KeyBERT that uses Large Language Models (LLMs) like Mistral 7B and ChatGPT to extract keywords from your data.
The following screenshot shows what a typical data science project’s landing page would look like in DSS. This shows both the summary of the project, as well as the timeline of the changes made to the project. Resources Following are some resource on learning more on this i...
CAAFE lets you semi-automate your feature engineering process based on your explanations on the dataset and with the help of language models. It is based on the paperLLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and...
- Store and manipulate structured data with Erlang Term Storage (ETS) and the Mnesia database - Build resilient applications with the Open Telecom Platform (OTP) - Define macros with Elixir's meta-programming tools. Introducing Elixir 2024 pdf epub mobi 电子书 ...