Understanding the answers to these questions is crucial to helping you make better investment decisions. Now, we may be a little biased, but we think a good place to start would be our own free, seven dayBitcoin crash course. If you watch just one video each day, within a week you’ll...
If we combine the hash power of Antpool, ViaBTC, and BTC.com, which makes more than 50% hash power, this is detrimental for any coin. To make a 51% attack on Bitcoin Cash would be a decision of three mining parties coming together. Forgot to mention. BCH is a lot more miner central...
The data seem to show that the coin is not a fair coin; more repetitions would be helpful to draw a more accurate conclusion about such bias. Some dice may be biased. Look at the dice in a game you have at home; the spots on each face are usually small holes carved out and then ...
When dealing with categorical data with multiple levels, the information gain is biased in favor of the attributes with the most levels. Calculations can become complex when dealing with uncertainty and lots of linked outcomes. Conjunctions between nodes are limited to AND, whereas decision graphs al...
While fake news is often harmless and sometimes fun, it can also be used by people to sway public opinion or even by hackers as a means of social engineering. To understand the fake news definition, it’s important to look at the entire spectrum of fake news sources, including biased ...
What is the probability of getting tails 4 times in a row when you flip a coin? A biased coin lands heads up with probability \frac{2}{3}. The coin is tossed 3 times. Given that there was at least one head in the three tosses, what is the probability that...
A biased coin lands heads up with probability \frac{2}{3}. The coin is tossed 3 times. Given that there was at least one head in the three tosses, what is the probability that there were at least 2 heads? An unfair coin has prob...
“Yes, in agentic AI, there can be instances where the agent makes an error in decision-making without human influence. This can occur due to several factors, such as incomplete or biased data, unforeseen environmental changes, or limitations in the AI's algorithms. These errors highlight the...
Survivorship bias is a problem when the characteristics of survivors differ from those of the overall original population or the target audience. This normally occurs because the selection process is notrandom, but is biased in some way for or against certain traits, characteristics, or behaviors. ...
It’s like flipping a coin many times; you will get a string of heads sooner or later. But remember, this doesn’t imply that the coin is biased, just as a significant result amid numerous tests doesn’t necessarily signify a meaningful finding. Similarly, the more groups that researchers...