Author Archives: 365Data Science

Currently, artificial intelligence and big data are seen as part of the working life in different fields of major enterprises. AI is a groundbreaking technology that has transformed how people utilize computers and perform a business at an accelerated rate of AI growth successes in unmanned air vehicles, chess and poker, digital customer care andContinue reading “Does AI Raises Security and Ethics Concerns amid Pandemic”

Classifying employees as likely-to-quit using Tensorflow, Pandas & IBM attrition dataset Classification is one of the major topics in machine learning. Some classification problems might not even have numbers to do analysis on. In this article, I will be classifying IBM employee attrition using a neural network from Tensorflow. First, the model will be built withContinue reading “Implementation of Pandas and Tensorflow: Classification of IBM employee attrition”

Data volumes generated by IT infrastructure are increasing two-to-three fold every year. Gartner When Woolworths, Australia’s biggest supermarket chain, suffered a nationwide IT outage, the company was forced to shut checkouts, have shoppers leave their groceries and close stores. The 30-minute outage resulted in millions of dollars of lost revenue for the company. Similarly when the GermanContinue reading “6 Major AI Use Cases In IT Operations”

Get ready for your next job interview requiring domain knowledge in machine learning with answers to these eleven common questions. Originally from KDnuggets https://ift.tt/2KvpR47 source https://365datascience.weebly.com/the-best-data-science-blog-2020/popular-machine-learning-interview-questions

We will show that the decomposition of growth into S-shaped logistic components also known as Loglet analysis, is more accurate as it takes into account the evolution of multiple covid waves. Originally from KDnuggets https://ift.tt/3oXn5DM source https://365datascience.weebly.com/the-best-data-science-blog-2020/loglet-analysis-revisiting-covid-19-projections

Here is a clever method of getting K-Means 8x faster, 27x lower error than Scikit-learn; Understand information theory you need for Data Science; Learn how to do cleaner data analysis with pandas using pipes; What are the four jobs of the data scientist? and more Originally from KDnuggets https://ift.tt/3p5zu8M source https://365datascience.weebly.com/the-best-data-science-blog-2020/kdnuggets-news-21n03-jan-20-k-means-8x-faster-27x-lower-error-than-scikit-learn-in-25-lines-essential-math-for-data-science-information-theory

This free eBook can show you what you need to know to leverage graph representation in data science, machine learning, and neural network models. Originally from KDnuggets https://ift.tt/3nXN7pf source https://365datascience.weebly.com/the-best-data-science-blog-2020/graph-representation-learning-the-free-ebook

Photo by Lukas from Pexels Potentially, the absolute majority of businesses can integrate AI into their operations. Despite the enthusiasm, though, many still fail to receive sufficient ROI from their AI implementations. Most commonly, the problem isn’t in AI itself but the strategy behind its integration. For example, even the most outstanding AI model won’t everContinue reading “Why Do AI Projects Fail Too Often?”

Photo by Flickr from Pexels As big data continues to disrupt almost every imaginable industry, the energy sector has finally started to catch up. With the recent advancements in IoT, AI and cloud computing, opportunities for more efficient energy consumption and distribution have been opened up. In this article, we explore the applications and limitations ofContinue reading “Big Data in Energy: Possibilities and Limitations”

How to Deploy AI Models? — Part 2 Setting up the Github For Herolu and Streamlit Github is a platform which is available free and enables us to keep our codes in the cloud. Basically Github is a version control system it is used to keep logs of all the changes which are being made on theContinue reading “How to Deploy AI Models?Part 2 Setting up the Github For Herolu and Streamlit”