Author Archives: 365Data Science

How to Deploy AI models? Part 6- Deploying Web-application on Streamlit via Github This Part is the continuation of the Deploying AI models , where we deployed Iris classification model using Decision Tree Classifier, had a glance of version control i.e. Git. In this article, we will see how we can deploy data science as well asContinue reading “How to Deploy AI models? Part 5- Deploying Web-application on Streamlit via Github”

Data Labeling — New Trends and Challenges in Data Annotation Industry Data Annotation Market Size The global data annotation market was valued at US$ 695.5 million in 2019 and is projected to reach US$ 6.45 billion by 2027, according to Research And Markets’ report. Expected to grow at a CAGR of 32.54% from 2020 to 2027, the boomingContinue reading “Data AnnotationNew Trends and Challenges in Data Annotation Industry”

The full value of your deep learning models comes from enabling others to use them. Learn how to deploy your model to the web and access it as a REST API, and begin to share the power of your machine learning development with the world. Originally from KDnuggets https://ift.tt/3wDwMM2 source https://365datascience.weebly.com/the-best-data-science-blog-2020/how-to-deploy-machine-learningdeep-learning-models-to-the-web

Easily learn what is only learned by hours of search and exploration. Originally from KDnuggets https://ift.tt/3fGG8jQ source https://365datascience.weebly.com/the-best-data-science-blog-2020/awesome-tricks-and-best-practices-from-kaggle

KDnuggets has reached an amazing milestone of one million unique visitors in March 2021. We review how we got here. Originally from KDnuggets https://ift.tt/2PwgYd9 source https://365datascience.weebly.com/the-best-data-science-blog-2020/one-million-kdnuggets-visitors-in-march-wow

An interview with Dean Abbott and John Elder about change management, complexity, interpretability, and the risk of AI taking over humanity. Originally from KDnuggets https://ift.tt/39DFZdb source https://365datascience.weebly.com/the-best-data-science-blog-2020/what-did-covid-do-to-all-our-models

Python is the most popular programming language, but why is this the case? Why so many people love Python? Continue reading on Becoming Human: Artificial Intelligence Magazine » Via https://becominghuman.ai/why-is-python-so-popular-b01a006b2be4?source=rss—-5e5bef33608a—4 source https://365datascience.weebly.com/the-best-data-science-blog-2020/why-is-python-so-popular

As you start your career as a Data Scientist, should you start with a Startup or an MNC, which one will give you a prosperous career? This article will help you answer this!! If you are starting out as a beginner Data Scientist, one of the most important questions you might have is where to startContinue reading “Should You Work In A Startup or MNC? As A Beginner Data Scientist”

Data Labeling — How a Human-Powered Data Labeling Platform Accelerates AI industry’s Development During COVID-19 The covid-19 epidemic in 2019 disturbs routine life across the globe. Due to the limitation of physical conditions, traditional enterprises are enhancing their strategies for digital transformation and business automation. Data Labeling is a Simple but Difficult Task Labeled data is the coreContinue reading “How an Automated Data Labeling Platform Accelerates AI industrys Development During COVID-19”

Establishing an expectation for trust around AI technologies may soon become one of the most important skills provided by Data Scientists. Significant research investments are underway in this area, and new tools are being developed, such as Shapash, an open-source Python library that helps Data Scientists make machine learning models more transparent and understandable. OriginallyContinue reading “Shapash: Making Machine Learning Models Understandable”