Author Archives: 365Data Science

Read on to find out how to use a decorator to time your functions. Originally from KDnuggets https://ift.tt/30SKJaj source https://365datascience.weebly.com/the-best-data-science-blog-2020/a-simple-way-to-time-code-in-python

As AI continues to boom, improved technologies and processes for data labeling and annotation are on the rise. iMerit, a leader in providing high-quality data for Machine Learning and AI, shares the latest trends in annotation workflow and tooling. Originally from KDnuggets https://ift.tt/38LDuVV source https://365datascience.weebly.com/the-best-data-science-blog-2020/data-annotation-tooling-workflows-latest-trends

This articles presents an overview of using Bayesian Tuning and Bandits for machine learning. Originally from KDnuggets https://ift.tt/38PxprE source https://365datascience.weebly.com/the-best-data-science-blog-2020/automating-machine-learning-model-optimization

Data Labeling — How Data Service Providers Acquire Core Competence Through Technology? Without training data, there is no machine learning model. ByteBridge: a Human-powered Data Labeling SAAS Platform Data Annotation Data annotation technique is used to make the objects recognizable and understandable for machine learning models. It is critical for the development of machine learning (ML) industries such asContinue reading “How data service providers acquire core competence throutechnology?”

Conversational marketing has been in the mainstream for quite some time now; the reason is the need for real-time interactions with your customers. Chatbots are the pivot of conversational marketing, having been built on the principles of Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG). However, the era of bigContinue reading “How You Can Deploy AI and Machine Learning for a Better Customer Experience”

In this story, we will investigate a dataset from Airbnb, which can be found in this link. The goal of the present analysis is to clarify some issues concerning the prices of Airbnb. Here, we’ll make a simple, yet relevant, data analysis, clarifying three business questions, discussing them, followed by a brief conclusion. Big Data Jobs Data AnalysisContinue reading “ANALYSIS OF AIRBNB DATA: THE INFLUENCE OF TIME DAY OF WEEK AND CLIENT DISTRIBUTION”

Moving and processing data is happening 24/7/365 world-wide at massive scales that only get larger by the hour. Tools exist to introduce efficiencies in how data can be extracted from sources, transformed through calculations, and loaded into target data repositories. However, on their own, these tools can introduce some restrictions in the processing, especially forContinue reading “Introducing dbt the ETL and ELT Disrupter”

In this blog post, learn how to process text using Python. Originally from KDnuggets https://ift.tt/2Q3imnp source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-begin-your-nlp-journey

Must Know for Data Scientists and Data Analysts: Causal Design Patterns; Know your data much faster with the new Sweetviz Python library; The Inferential Statistics Data Scientists Should Know; Natural Language Processing Pipelines, Explained Originally from KDnuggets https://ift.tt/2Qd9Rq6 source https://365datascience.weebly.com/the-best-data-science-blog-2020/kdnuggets-news-21n11-mar-17-is-data-scientist-still-a-satisfying-job-how-to-overcome-the-fear-of-math-and-learn-math-for-data-science

This article presents a beginner’s view of NLP, as well as an explanation of how a typical NLP pipeline might look. Originally from KDnuggets https://ift.tt/30M6xEb source https://365datascience.weebly.com/the-best-data-science-blog-2020/natural-language-processing-pipelines-explained