Do you ever have a regular expression you want to verify? If so, here are 3 quick sites to help you do that.
Regular Expression Editors Online
If you are unsure what regular expressions are, see Regular-Expressions.info for a tutorial.
Last week I posted about Coursera’s Introduction to Recommender Systems course. Well, I believe it is the first MOOC on the topic, but there are other material available online.
If you know of any other great recommender systems resources online, please feel free to share them.
Many of the top data scientists you will read about or hear speak have PhD degrees. Therefore, many people think a PhD is a requirement for becoming a data scientist. That is completely not true. There is a lot of work in the data science field that does not require a PhD. In all actuality, there is not a lot of data science work that does require a PhD.
What is a PhD and why would a person get one? A PhD degree is a research degree that usually takes between two and five years of study beyond a master’s degree. The majority of the program will be focused on researching and expanding upon a very specific topic. A PhD student will push the edge of known human knowledge.
In daily tasks, most data scientists do not go that far and do not need a PhD. Most of the necessary skills can be obtained at the bachelors or masters level. Combine that education with the amazing tools available and some experience and being a data scientist is definitely achievable.
The reasons many data scientists have PhD degrees are because of the curiosity and love for learning. Those are essential traits of both a data scientists and PhD students. However, you can be curious and love learning without attending enough school to obtain a PhD.
All of this is not to say that earning a PhD is bad. If you really love learning, thrive in the academic environment, and have the desire; then definitely go for the PhD. However, do not let a lack of a PhD stop you from doing data science.
Are you ever confused about some of the terms dealing with big data? If so, here is a link for you. It provides countless big data terms and a brief definition.
In about 1 month, the course, Introduction to Recommender Systems, will begin on Coursera. The course is being offered by the Computer Science and Engineering Department from the University of Minnesota.
The course is 14 weeks long and has 2 tracks:
Recommender systems are an important part of data science, and this course looks to provide an excellent in-depth overview of the topic.