In #datascience, you must understand context. There are times at work where looking at the data alone didn't help me from solving the problem.
It doesn't matter if your domain is in marketing, healthcare, product, etc... You need to understand the context first before diving into the data. Without background information about how the data was generated, it becomes really difficult to make accurate assumptions on what your data will show.
Taking the time to understand the context will not only benefit you in your analysis, but you may even help your colleagues tackle the problem better.
When you are informed about the data and problem, you increase your value because now you're in a position to communicate and identify other potential problems.
So do this: On your next project, take the time to not just do EDA, but also document your understanding of the context behind the data.
This good practice will definitely help you in your career and is a valuable skill you can bring to any team. Context first, data second.
In #datascience, you must understand context. There are times at work where looking at the data alone didn't help me from solving the problem.
It doesn't matter if your domain is in marketing, healthcare, product, etc... You need to understand the context first before diving into the data. Without background information about how the data was generated, it becomes really difficult to make accurate assumptions on what your data will show.
Taking the time to understand the context will not only benefit you in your analysis, but you may even help your colleagues tackle the problem better.
When you are informed about the data and problem, you increase your value because now you're in a position to communicate and identify other potential problems.
So do this: On your next project, take the time to not just do EDA, but also document your understanding of the context behind the data.
This good practice will definitely help you in your career and is a valuable skill you can bring to any team. Context first, data second.
Telegram and Signal Havens for Right-Wing Extremists
Since the violent storming of Capitol Hill and subsequent ban of former U.S. President Donald Trump from Facebook and Twitter, the removal of Parler from Amazon’s servers, and the de-platforming of incendiary right-wing content, messaging services Telegram and Signal have seen a deluge of new users. In January alone, Telegram reported 90 million new accounts. Its founder, Pavel Durov, described this as “the largest digital migration in human history.” Signal reportedly doubled its user base to 40 million people and became the most downloaded app in 70 countries. The two services rely on encryption to protect the privacy of user communication, which has made them popular with protesters seeking to conceal their identities against repressive governments in places like Belarus, Hong Kong, and Iran. But the same encryption technology has also made them a favored communication tool for criminals and terrorist groups, including al Qaeda and the Islamic State.
Telegram has exploded as a hub for cybercriminals looking to buy, sell and share stolen data and hacking tools, new research shows, as the messaging app emerges as an alternative to the dark web.An investigation by cyber intelligence group Cyberint, together with the Financial Times, found a ballooning network of hackers sharing data leaks on the popular messaging platform, sometimes in channels with tens of thousands of subscribers, lured by its ease of use and light-touch moderation.AI Python Cognitive Neuroscience from vn
