This is a white paper focused on the use and impact of AI for social good initiatives. Several studies and prototypes have been run to prove the value of AI in high-impact fields such as healthcare (Chunara et al., 2012; Caicedo-Torres et al., 2016; Pathak and Kumar 2016; Robertson and DeHart 2010; Waidyanatha et al., 2013) or environmental issues (Tehrany et al., 2014; Ferris, 2010; Tien Bui et al., 2012; Kapoor et al., 2010). However, it is becoming clear that AI poses as many threats as benefits, although the former ones are usually neglected.

AI is currently only as good as we allow it to be, but equally, great results can be achieved with the help of AI to augment the work humans already do. Much of the talk around the uses of AI has been centered on the technology occupying the more time consuming and trivial tasks, freeing people to deal with more creative and complex work.

According to the 2017 Elite Singles poll the majority of people, 61% of women and 72% of men believe in love at first sight. The paper walks you through the analysis and visualisation of a speed dating dataset garnered from Columbia University. It helps you to understand the most important factors and how to predict a potential match with that special someone, the first time we meet.

According to the 2017 Elite Singles poll the majority of people, 61% of women and 72% of men believe in love at first sight. - Do you the latest number?

This is another successful use case of the in the application of machine learning in the petroleum industry.A dynamometer-card is a data acquisition system in the rod pumping system in a petroleum production field. Analyzing this data delivers valuable insight into the status of the pump and can indicate if future action is required. I have shared a report on my LinkedIn page explaining how machine learning is used to improve the surveillance of beam pumps using the dynamometer-card data and machine-learning techniques,Interested readers can access my page: https://www.linkedin.com/posts/fataianifowose_dynamometer-card-classification-uses-machine-activity-6644544993019129856-PdYB

This article was really interesting.,How machine learning is used to improve the surveillance of beam pumps using the dynamometer-card data and machine-learning techniques,Thank you.

Hi everyone,Knowing that communication is key to showcasing our contributions to the AI and ML community, I shared through my LinkedIn page some quick tips for running successful meetings whether virtually or physically. I hope it will be of benefit to someone here.https://www.linkedin.com/posts/fataianifowose_wfh-during-corona-six-quick-tips-for-running-activity-6651854346617176064-XlG1

tips for running successful meetings whether virtually or physically - thanks for sharing this across

I am sending you my first article about the 'Game Changer' series. I am writing about my experience as an intern at Boemska, exploring the world of SAS and big enterprise analytics. In this article, I wanted to focus mainly on the exploration of the characteristics and advantages of the SAS® Visual Data Mining and Machine Learning solution of SAS Viya.

characteristics and advantages of the SAS® Visual Data Mining and Machine Learning solution of SAS Viya. - Got to learn alot from this article very well written

Hi everyone,About a week ago, I used my LinkedIn page to call on young professionals in general and in the petroleum exploration and production (E&P) field in particular to braze up and prepare to contribute to the new ways of conducting business in the 21st century. I noted that the conventional ways of doing things are changing. They need to key in to the digital transformation agenda and be part of the new history that has started to be written in all fields of endeavors.I feel that it is good to share same here for wider dissemination.https://www.linkedin.com/posts/fataianifowose_upstream-digitalization-is-proving-itself-activity-6651770007371988993-LNSx

They need to key in to the digital transformation agenda and be part of the new history that has started to be written in all fields of endeavors. - I agree

A practical guide to getting started with Python for Data Analysis with examples of code and easy to access libraries

Very helpful and quite nicely written . Code driven approach is always the best way to explain a concept

PytorchMicrosoft Cognitive ToolkitTensorFlowCaffeChainerKeras

Statistical importance of an insight can be accessed using Hypothesis Testing.

Selection Bias occurs when there is no appropriate randomization acheived while selecting individuals, groups or data to be analysed.Selection bias implies that the obtained sample does not exactly represent the population that was actually intended to be analyzed.Selection bias consists of Sampling Bias, Data, Attribute and Time Interval.