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How to write and create the best we crawling bots
Web crawling bots, also known as ants, automatic indexers, web spiders or web robots, are automated scripts that scan through web pages to extract data periodically (or in real-time). The process itself is called web crawling. Although web crawling bots are sometimes used for other purposes as well, such as web indexing (by companies like […]
Read MoreHow to build a machine learning/deep learning workstation in 2019 – PromptCloud
In a world that is being taken over by machine learning and deep learning algorithms, you do need faster machines to crunch the humongous data as well. While most “software engineers” get away with using a laptop, in case you want to build your in-house AI capabilities, it is a must for you to have […]
Read MoreDoes your business need a DaaS provider?
There was a time when software development companies had to tackle countless key things before starting a new project. From networking, storage, servers, operating systems (OS), data to applications! Early on, IaaS (Infrastructure as a Service) came into picture, followed by PaaS (Platform as a service) that provided you with the operating system. SaaS (Software […]
Read MoreA Complete Guide To New Google Dataset Search Engine – Promptcloud
When I wrote my first machine learning algorithm, I used the mammoth data set collection hosted by UC Irvine to learn the ropes. There were so many datasets to practice with, 442 to be exact. But the problem is that these are datasets that have been used by loads of people all over the world, […]
Read MoreGuide to Scraping IoT Data
Web scraping is traversing the Internet and collecting the data that is present on the web pages. It is also called screen scraping or web data extraction. Data presented in almost all web sites can be seen only through a web browser. A copy of this data cannot be saved for any personal use. The […]
Read MoreHow to Ensure Data Integrity
At every business stage, data is validated and generated at all levels and exchanged between several systems and processes. In today’s data-driven business decisions, data integrity ensures that the data is complete, consistent, and from a trusted source. To improve data integrity, the individual data values must meet the quality checks of the data model. […]
Read MoreEssential data science skills for enthusiasts
Data is literally growing at an exponential rate, such that it has reached petabytes! Could you believe that ninety percent of the world’s data has been created in the last two years alone. With this volume, data management has been a tricky affair. No wonder Essential Data Science skills have taken the front seat. The […]
Read MoreWhat is Data Wrangling and How to do it Effectively
These days, data is what governs our everyday lives as well as business fortunes. They can come from diverse sources, at different times, and are available in different formats. Within this data lies invaluable insights waiting to be gleaned by data scientists, but before that they would need the data in proper order and in […]
Read MoreUse the Right Design Principles for Effective Data Visaulization
The role of data visualization in communicating the complex insights hidden inside data is vital. While data scientists and analysts have an eye for digging out the key insights from even complex visualizations, a top business stakeholder or an average person might not be able to do the same. And this is what makes effective […]
Read MoreMining Emma Watson’s Tweets with R
The Twitter stream of any person contains rich social data that can unveil a lot about that person. Since Twitter data is public and the API is open for anyone to use, data mining techniques can be easily applied to find out everything from the timing patterns and the topics the person focuses on to […]
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