Hands-On with First ML Model
Thinking about using a Machine Learning model? Get your hands dirty with a practical lesson on SKLEARN.
you'll need a problem statement, data to process and enough time to try different approaches without deadlines pressing on you. - Great point
SQL for Data Science
Learn the significance of SQL in Data-Science and Machine Learning. And understanding the basics of SQL.
Together with Python and R, SQL is now considered to be one of the most requested skills in Data Science. - Absolutely agree
Enhancing Customer Experience Use Case
While millions of people are at risk of committing suicide, teens are often the most in distress. A number of solutions have been created to reach at-risk teens and help prevent them from taking their own lives. One of these is Crisis Text Line. However, the organization found that it required assistance in measuring interaction value and creating predictive models to help create positive outcomes in the future.
A number of solutions have been created to reach at-risk teens and help prevent them from taking their own lives. - Agree
Propensity Modelling at Pivotal iQ
An important part of the Data Science Foundation’s remit is enabling the flow of new ideas. As the foundation has a wide user base, active members benefit from the opportunity of peer review across many sub-disciplines. An example is Pivotal iQ, data science specialists and leaders in the field of propensity Modelling. They wanted to demonstrate how millions of micro data points can be connected to build a picture of customer opportunity. Publishing a white paper with the Data Science Foundation offered Pivotal iQ the opportunity to demonstrate to potential clients the tools they can offer to help them better understand the customer environment. In this article, we’ll shed more light on how Pivotal iQ implements Propensity Modelling to find customer opportunities in data. Hopefully, this case study will help you implement Propensity Modelling in your own business or research using the best industry standards embodied in Pivotal iQ tools.
implement Propensity Modelling in your own business or research using the best industry standards embodied in Pivotal iQ tools. - A very well written
Machine Learning: what you are too afraid to ask
This is a very basic introduction to different techniques currently used in machine learning (artificial neural networks, Particle Swarm Optimization, Evolutionary Algorithms, etc.).
neural networks, Particle Swarm Optimization, Evolutionary Algorithms - Thanks a topic to explore more
Artificial Friend or Virtual Foe
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.
Using SAS Viya to Analyze Love at First Sight
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?
Dynamometer-Card Data Classification Uses Machine Learning
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.
Communication is key to sharing your contributions to AI
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
Boosting your Machine Learning productivity with SAS® Viya®
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