Question:
1. Some are known as "nun" buoys
2. They are labeled with odd numbers
3. If it is lighted, the light color is green
4. Some are known as "can" buoys
Answer:
The correct option is;
1. Some are known as "nun" buoys
Explanation:
Based on the lateral system, on the starboard side, one can find the red even numbered marks while the odd-numbered, green, marks are located on the port side of a channel such that the buoy numbers increase as a vessel travels upstream.
The red buoys are cones shaped in appearance and have triangular reflective sign markings embossed and they are of different types included in the order of lower water depth
1. NUN buoy
2. Lighted buoy
3. Light
4. Day beacon
Therefore, the correct option is 1. Some are known as "NUN" buoys.
Option C (making lessons learned a regular part of meetings) is the correct approach.
- As nothing more than a general rule, typically construction companies only plan lessons that have been learned exercises or initiatives towards the end of a particular endeavor or segment.
- As almost a result of the team knowing, valuable lessons are intended to increase the comprehensive implementation of quality management practices as well as deadlines.
Aside from this, none of the choices are viable methods to learning lessons or gaining knowledge from the past. As a result, the methodology outlined above is the appropriate one.
Learn more about project teamwork here:
brainly.com/question/14279121
Answer: output value
Explanation: Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs.
Supervised learning infers a function from labeled training data consisting of a set of training examples.
In supervised learning, each example consists of a pair of an input object (a vector) and a desired output value (the supervisory signal). A supervised learning algorithm analyzes the training data and produces an inferred function, which can be used for mapping new examples. An optimal scenario will allow for the algorithm to correctly determine the class labels for unseen instances. This requires the learning algorithm to generalize from the training data to unseen situations in a "reasonable" way
A wide range of supervised learning algorithms are available, each having its own strengths and weaknesses.
You should now that, there is no single learning algorithm that works better than the other on all supervised learning problems
Answer:
parentheses
Explanation:
print 100/4
SyntaxError: Missing parentheses in call to 'print'.
print (100/4)
25.0
You need parentheses with print statements in python.
Hope this helps!
