PhD Stacie Meaux expalin how to use colors in a @journalexperts video
After doing months of research, it’s finally time to create your charts and graphs to demonstrate your findings.
But where do you begin?
Well, after you choose which data to include and what to leave out, you’ll want to decide which software you’ll be using (Excel, PowerPoint, Adobe Photoshop, etc.) Whatever your decision, make sure it is something you are comfortable working in.
The next thing you will want to consider is your color scheme. This is not something that should be based on a variety of your favorite colors, or even ones chosen at random. Instead, this is something that requires forethought and consideration.
T: Education ID: 775 I: 5230 P: 50.29 C: 0.0004
Malala Yousafzai designated youngest-ever UN Messenger of Peace
10 April 2017 – United Nations Secretary-General António Guterres today designated children’s rights activist and Nobel Laureate Malala Yousafzai as a UN Messenger of Peace with a special focus on girls’ education.
“You have been to the most difficult places […] visited several refugee camps. Your foundation has schools in Lebanon, in the Beka’a Valley,” said Mr. Guterres at a ceremony in the Trusteeship Council chamber at UN Headquarters, in New York.
“[You are a] symbol of perhaps the most important thing in the world, education for all,” he highlighted.
Ms. Yousafzai, who was shot in 2012 by the Taliban for attending classes, is the youngest-ever UN Messenger of Peace and the first one to be designated by Secretary-General Guterres since he assumed office in January this year.
Accepting the accolade, Ms. Yousafzai underscored the importance of education, especially education of girls, for advancing communities and societies.
T: Education ID: 799 I: 4838 P: 61.24 C: 0.0004
THE MATHEMATICS OF MACHINE LEARNING
In the last few months, I have had several people contact me about their enthusiasm for venturing into the world of data science and using Machine Learning (ML) techniques to probe statistical regularities and build impeccable data-driven products. However, I’ve observed that some actually lack the necessary mathematical intuition and framework to get useful results. This is the main reason I decided to write this blog post. Recently, there has been an upsurge in the availability of many easy-to-use machine and deep learning packages such as scikit-learn, Weka, Tensorflow etc. Machine Learning theory is a field that intersects statistical, probabilistic, computer science and algorithmic aspects arising from learning iteratively from data and finding hidden insights which can be used to build intelligent applications. Despite the immense possibilities of Machine and Deep Learning, a thorough mathematical understanding of many of these techniques is necessary for a good grasp of the inner workings of the algorithms and getting good results.