The phrase "analytic tasks" is correct and usable in written English.
It can be used when referring to activities or assignments that involve analysis or critical thinking, often in academic or professional contexts.
Example: "The course will focus on developing skills necessary for completing various analytic tasks in data interpretation."
Alternatives: "analytical activities" or "analysis-related tasks".
We use Twitter dataset as the main source for analytic tasks.
For many modern big data applications, the complexity of analytic tasks often require the combination of NoSQL databases and Hadoop.
Cardiovascular training is effective in improving performance attentive and analytic tasks, whereas resistance training is effective in improving praxis.
Clearly, a distance join query is more flexible than the subgraph search and especially useful in graph analytic tasks that target on co-relationship discovery.
With the generic vertex-centric model [22] applied to practices, there has been a huge advancement in large-scale graph analytic tasks, e.g. PageRank, SCC, subgraph listing and etc.
Google performs text clustering in Google News and ties to show similar news next to each other; moreover, they classify e-mails in Gmail and perform various other analytic tasks, e.g., in connection with their AdWords business.
Later, however, we will see that for many games this condition does not apply, and then our analytic task is less straightforward.
More efficient generic graph processing frameworks, like the subgraph-centric model [33, 35], are emerging to accelerate the graph analytic task.
The nations with the highest percentages of their working populations doing symbolic-analytic tasks will have the highest standard of living and be the most competitive internationally.
Some argue that even if I'm correct about all this, the erosion of traditional manufacturing impedes the capacity of Americans to learn these symbolic-analytic tasks, because such learning depends on an intimate understanding of the assembly process.
Machine learning can be used for several different software data analytics tasks, providing useful insights into software processes and products.
