Category Archives: Data Science News

Data Labeling — Nine Questions to Ask before Selecting a Data Annotation Company ByteBridge: a Human-powered Data Labeling SAAS Platform Data Annotation Service Data annotation technique is applied to make the objects recognizable and understandable for AI models. It is critical for the application of machine learning in security, autonomous driving, aerial drones, and many other industries. DataContinue reading “Data LabelingNine Questions to Ask before Selecting a Data Annotation Company”

Data Labeling Service— The Human Power Behind AI Machine learning success depends on the human workforce. Machine learning success depends on the human workforce. Data Annotation Service Market is Booming “The global data collection and labeling market size was valued at USD 1.0 billion in 2019 and is expected to witness a CAGR of 26.0% from 2020Continue reading “The Human-power Behind AI: Machine Learning Needs Annotators”

Can AI algorithms help us find love? Can they go a step further and replace a human being as a partner in a relationship? Here, we analyze how far technology has come in helping us meet “our” people, find love, and feel less lonely. Originally from KDnuggets https://ift.tt/3cNeK0L source https://365datascience.weebly.com/the-best-data-science-blog-2020/ai-in-dating-can-algorithms-help-you-find-love

A guide to building efficient DAGs with half of the code. Originally from KDnuggets https://ift.tt/3tB6KXs source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-build-a-dag-factory-on-airflow

At Wrangle Summit 2021, Apr 7-9, you’ll get access to all the best people, ideas, and technology in data engineering, all in one place. Learn how to refine raw data and engineer unique data products, and gain insights from your data that can catalyze real, measurable business success. Originally from KDnuggets https://ift.tt/2P9Vdz9 source https://365datascience.weebly.com/the-best-data-science-blog-2020/wrangle-summit-2021-all-the-best-people-ideas-and-technology-in-data-engineering-all-in-one-place

It’s time again to look at some data science cheatsheets. Here you can find a short selection of such resources which can cater to different existing levels of knowledge and breadth of topics of interest. Originally from KDnuggets https://ift.tt/3cNyu43 source https://365datascience.weebly.com/the-best-data-science-blog-2020/more-data-science-cheatsheets

In this episode of Future Tech I give you a couple of reasons why I think Why we Need Self Driving Cars. Commuting is a huge waste of time… Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/why-we-need-self-driving-cars-7d74c68b2d60?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/why-we-need-self-driving-cars

Today our goal is to help you classify the kind of ML use case you are developing in terms of how it will interact with humans. Knowing and following this classification will help you and your company in all steps of a ML model cycle. Here are the five ways an ML algorithm (also referred toContinue reading “Human-Machine interaction aspects of Machine Learning systems”

How to Deploy AI models ? Part 4- Deploying Web-application on Heroku via Github This Part is the continuation of the Deploying AI models Part-3 , where we deployed Iris classification model using Decision Tree Classifier. You can skip the training part if you have read the Part-3 of this series. In this article, we will have aContinue reading “How to Deploy AI models? Part 4- Deploying Web-application on Heroku”

Understanding your data first is a key step before going too far into any data science project. But, you can’t fully understand your data until you know the right questions to ask of it. Originally from KDnuggets https://ift.tt/30WgtLG source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-frame-the-right-questions-to-be-answered-using-data