How Web Scraping Can Revolutionize Machine Learning?

Machine Learning

They say that knowledge is power. So web scraping - or data scraping - is a way to collect vast amounts of valuable data and present it effectively. And that makes you more powerful.
By specifying what you want to collect information about, an automated system will scour everything available on the public internet. Every mention, every site, every place. Imagine a google search that only returned what you wanted it to. Sounds good, right?

What about Machine Learning?

Artificial intelligence - or Machine Learning - requires data. Actually, it requires data on data on data, all of which allow process pathways to be developed.
Web scraping allows you to decide the specific parameters of a search and retrieves the information in a well-structured way. This allows the AI to “learn” about the various topics you need. From here, the process can be further automated, so that the machine develops more nuanced and useful searches.
Machine learning analyzes and ranks data based on a ‘confidence score,’ which factors into account the statistical correctness of the machine. All of this knowledge and information comes from having rich and vast data points for the device to rate its information.
This is where web scraping and AI can have a symbiotic relationship.

How Web Scraping Can Help Machine Learning

If web scraping is essential for machine learning in the beginning, then AI may just be critical to the progress of web scraping as an art form.
As the machines develop their knowledge bases - bearing in mind the speed at which the internet grows and the amounts of information which are daily added to systems - they can then suggest improvements to searches. So, where the web scraping was once the teacher, it now becomes the student.
This is why it’s vital to make sure that you have reliable data from the jump. Scrapfly can do just that, allowing you to hone and develop your data research in a way that makes the most sense for your company. With a wide range of integrations, it’s also possible to expand into processes, allowing you to build an entire data-bank for your machine learning or AI.

Growth Hacking

Growth Hacking

While the term might not be familiar to everybody, website scraping has been used by digital marketers since before the phrase was even coined. Which makes it one of the oldest growth hacks in the book.

Real Estate

Real Estate

The real estate industry is defined by knowing your clients, knowing your competition, and knowing how to cut out any difficulties your potential clients may have when it comes to getting to you.

Finance

Finance

If you're hoping to harness the power of information, the natural next step is looking beyond internal data to gauge the financial landscape.

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