https://t.co/01ZaLy7al0 Coding a python class using pep8 style guide. I am trying to reach 100000000 subs by the end of the year so don't forget to sub.
This research study is looking to find out the pressure points of teachers with the aim of finding solutions to these problems. If you are a teacher, please take this one minute survey.
https://t.co/OqkjKYY9Ve
The pandemic has caused more bad than good to lots of people and professions. One of the people who have been hit hard by the pandemic are the teachers. Lockdown after lockdown, wave after wave, schools remain closed and teachers can only teach online.
https://t.co/OqkjKYY9Ve
This favours teachers and learners who have access to the internet. Several teaching processes and methodologies have changed. Some teachers have had their salaries cut while others have lost their jobs.
https://t.co/OqkjKYY9Ve
The promise of differential privacy: "You will not be affected, adversely or otherwise, by allowing your data to be used in any study or analysis, no matter what other studies, data sets, or information sources, are available."
When it come to data protection, differential privacy is a widely used definition that describes how individuals and or organisations anonymise their data then share that data without leaking identifying information of the participants existing in that data. #thefutureofdata
This means that data can be made differentially private then made public for analysts and scientists around the world to discover patterns and build impactful products from the anonymised data without infringing on the privacy of the participants of the original data.
Mental illness is a major risk factor for professionals in the tech industry. Here is a report showing the perspective of mental health in data science
https://t.co/pk6qErJyVa