Category Archives: Learning

Turf Management and the letter Q!

Can’t think of much starting with the letter Q in turf management, well here’s a few – clearly there are more, but it is a bit limited, so an easy one for a quick article! Quadraplay                                 A make of tractor mounted (via the three-point linkage) frame which can have up to four types of different implements attached, including a flexible comb, a range of rakes, drag brush, spiker, slitter, lute, roller or spiked roller. The width of the frame is

Employability Skills: 11 onwards

We’ve looked at the typical top-10 employability skills, so we now look at others that commonly or occasionally appear in lists of skills which are considered desirable in a work place: 11. Working under pressure and to deadlines Within the workplace many employees will often be under a great amount at pressure to meet certain deadlines. Making sure that projects or contract work are completed on time, letters having to go out by a certain time of day, responding to

Employability Skills: 1-10

Carrying on from the ‘Learning to maintain your Employability Skills‘ we now look in more detail at what each mean: 1. Good general literacy skills It seems obvious, but there is a need to be able to read and write to a reasonable standard within a business environment. This doesn’t mean that you can say you have authored a book, but you need to be able to understand the meaning of sentences and to be able to construct your own

Learning to maintain your Employability Skills

Even though the UK unemployment rate dropped to 3.9% in January 2019, the quality of new jobs is doubtful, with many being zero-hour or self employed ones, typically of low pay and conditions, (report in the Observer Business ‘Why the road to full employment has ended up being lined with food banks’, 24.03.19). Technological, as well as societal, change is rapid and disruptive; keeping yourself adequately skilled within your subject specialism is one area of importance, but with the rapidity of

Data Science and Machine Learning

Vast swaths of data are available, much of this being open data, but how might these be linked together and what might the correlations be between them? Are there any interesting data clusters which machine learning can identify from data and the hundreds of thousand and millions of data points in available data? Without a doubt there are: it’s a matter of thinking about what you might want to achieve, so a bit of visionary thinking or brain storming will