Business Relationship Management, Machine Learning, and Clustering Techniques Overview

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37 Terms

1
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The business relationship management philosophy centers on the belief that positive relationships drive value in organizations and contribute to the greatest positive impact to economic value, people, and

the planet

2
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A business relationship management capability is __________, both visible and invisible, to nurture relationships in an organization

everything it takes

3
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Supervised Learning is about:

separate new observations in known classes

4
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Deep Learning is a subset of Machine Learning

true

5
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In KNN, K means:

the number of neighbors

6
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the Kth number in KNN is best if it has a value:

the square root of the amount of data points (observations)

7
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According to Mr. Okuyiga (video), the key word in BRM is:

relationships

8
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Is the BRM role visionary?

true

9
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If the BRM is doing the job well,

they only allow good projects come through.

10
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If the BRM is not doing the job well,

they are more involved with business operations such as solutions designer

11
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BRM-P

they have the foundations

12
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BRM-C

they have additional leadership training

13
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If the BRM is certified, _______

They have the foundations and the language of a BRM professional

14
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If the BRM is not certified

all of the above

15
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An organization's culture is the reflection of all relationships between any people having anything to do with the organization, __________.

past and present

16
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An organization's culture is the largest source of energy that fuels value

true

17
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BRM Philosophy center on the belief that strong, partnering human relationships drive value in organizations and contribute the greatest positive impact to economic value and people's lives, both in the present and for future generations to come. The philosophical belief is that at the heart of strong relationships is a ______________ , satisfying both organizational and individual purposes. The stronger and more meaningful the purpose, the greater the bonds of the relationships and the more power there is to create value for people, society, and future generations.

purposeful context

18
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In KMeans the centroid is calculated by:

The average distance of points in a cluster

19
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KMeans is______________learning algorithm

an unsupervised

20
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KMeans is a _____________ algorithm

clustering

21
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Labels are necessary for unsupervised learning because they train the algorithm

false

22
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K in KNN means:

The number of datapoints in the vicinity to use when selecting the class.

23
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The activity domain that defines the organization purpose is:

strategic

24
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"Capability assessment is a structured approach to evaluating organizational capabilities"

true

25
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In BRM, the strategy is the:

how

26
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In BRM, the Why is:

purpose

27
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K-Means uses two methods to determine the optimal number of clusters (K), one of which is the 'shoulder' method.

false

28
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_____ is the talent, knowledge, and experiences people currently express via behaviors (this includes everyone in the organization).

Now

29
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_____ is the talent, knowledge, and experiences each individual will express as desired behaviors in an organizational setting.

New

30
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_________ are beyond complicated, they are complex, living entities

Organizations

31
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________ enables change by arming high-influencers with purposeful language, particularly in the form of inspiring stories

Now-to-New

32
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BRMs should identify clusters in the network and proactively work to fortify the connections between those clusters (don't wait for a reason; sooner or later there will be a reason)

true

33
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A value is a fundamental assumption or guiding belief.

false

34
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K-Means is an unsupervised machine learning algorithm

true

35
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In K-Means, the "K" word means:

the number of clusters

36
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¨In mathematics and physics, the centroid, also known as the geometric centre or centre of a figure, of a plane figure or solid figure is the arithmetic _______ position of all the points on the surface of the figure."

mean

37
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The 'elbow' and 'silhouette' techniques help us to determine the best_________in K-Means.

number of centroids