All of this may seem obvious to many experienced research scientists, but in reality, all too often some basic elements have not been accounted for in the execution of the research. For example, it may be that lower yields obtained under no-tillage in some studies may not be system ...
Why it is important that scientists perform an experiment more than one time? because they want to get an acurate result Why is it imporatant to change systematically only one variable at a time when doing the experiment? It is important to only change one variable at a time when doi...
aShanghai No.1 Middle School. 上海没有中学。[translate] aNowadays household robots can do some housework for people. Scientists believe that household robots will take the place of housewives in not very long time as a result of the rapid development of applied science. Housewives will be free...
阅读理解 Why I Don’t Spare “Spare Change “Poor but honest. “The deservingpoor. These words always come to my mind when I think of “the poor .But I also think of people who, perhaps through alcohol or drugs, have ruined not only their own l
“lesson” for the AI, leading to further improvement and refinement of the algorithm. Data scientists must continue to monitor performance and results, particularly when the model deals with unexpected outlier data. Should inaccurate results arise, even only on rare occasions, the model may need ...
predicted based on known value of other variables. The response variable is categorical, meaning it can assume only a limited number of values. With binary logistic regression, a response variable has only two values such as 0 or 1. In multiple logistic regression, a response variable can have...
While the overall evidence is that in comparison to humans, machine learning models tend to do better in terms of fairness, continued vigilance is crucial to ensure unbiased training data. Data scientists can try to de-bias their data… But doing so does not absolve one of the responsibility ...
I used the term "pure math" to denote courses in a math department that would focus on what I am calling "foundations" of what is typically taught in a calculus course (for, say, computer scientists, engineers, physicists, biologists, chemists; in other words, every other major...
the fact that complex technological systems such as medical AI can only function well when supported by an extensive and reliable technical infrastructure and the expertise of people like IT experts and data scientists. Substantial human labor will also be required by these experts to keep the ...
Data scientists must continue to monitor performance and results, particularly when the model deals with unexpected outlier data. Should inaccurate results arise, even only on rare occasions, the model may need further tweaking so as not to taint future output. Types of AI Model Training Methods ...