algebra: be useful for machine learning

Related concepts

Parents	course Weight: 0.59 , class Weight: 0.58 , thing Weight: 0.56 , high school Weight: 0.56 , study Weight: 0.56
Siblings	linear algebra Weight: 0.64 , quaternion Weight: 0.39 , calculus Weight: 0.34 , school district Weight: 0.34

Related properties

Property	Similarity
be useful for machine learning	1.00
be applied to machine learning	0.90
is useful	0.81
be useful today	0.79
be important skill learn	0.79
be important in computer science	0.76

Priors about this statement

Cues

Evidence

Clauses

Plausibility inference from child typicality

0.45

Rule weight: 0.66
Evidence weight: 0.84
Similarity weight: 0.81

Evidence: 0.84

Plausible(study, is useful) ⋁

Evidence: 0.96

¬ Typical(algebra, be useful for machine learning)

Plausibility inheritance from parent to child

0.07

Rule weight: 0.09
Evidence weight: 0.94
Similarity weight: 0.81

Evidence: 0.93

Plausible(algebra, be useful for machine learning) ⋁

Evidence: 0.84

¬ Plausible(study, is useful)

Remarkability exclusitivity betweem a parent and a child

0.23

Rule weight: 0.58
Evidence weight: 0.49
Similarity weight: 0.81

Evidence: 0.67

¬ Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.76

¬ Remarkable(study, is useful)

Remarkability exclusitivity between siblings

0.07

Rule weight: 0.13
Evidence weight: 0.53
Similarity weight: 1.00

Evidence: 0.67

¬ Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.71

¬ Remarkable(linear algebra, be useful for machine learning)

0.06

Rule weight: 0.13
Evidence weight: 0.50
Similarity weight: 0.90

Evidence: 0.67

¬ Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.75

¬ Remarkable(linear algebra, be applied to machine learning)

0.05

Rule weight: 0.13
Evidence weight: 0.51
Similarity weight: 0.76

Evidence: 0.67

¬ Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.73

¬ Remarkable(linear algebra, be important in computer science)

0.04

Rule weight: 0.13
Evidence weight: 0.40
Similarity weight: 0.81

Evidence: 0.67

¬ Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.90

¬ Remarkable(quaternion, is useful)

0.04

Rule weight: 0.13
Evidence weight: 0.38
Similarity weight: 0.81

Evidence: 0.67

¬ Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.93

¬ Remarkable(calculus, is useful)

Remarkability from parent implausibility

0.32

Rule weight: 0.42
Evidence weight: 0.95
Similarity weight: 0.81

Evidence: 0.84

Plausible(study, is useful) ⋁

Evidence: 0.67

Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.93

¬ Plausible(algebra, be useful for machine learning)

Remarkability from sibling implausibility

0.59

Rule weight: 0.60
Evidence weight: 0.98
Similarity weight: 1.00

Evidence: 0.93

Plausible(algebra, be useful for machine learning) ⋁

Evidence: 0.71

Remarkable(linear algebra, be useful for machine learning) ⋁

Evidence: 0.91

¬ Plausible(linear algebra, be useful for machine learning)

0.53

Rule weight: 0.60
Evidence weight: 0.98
Similarity weight: 0.90

Evidence: 0.93

Plausible(algebra, be useful for machine learning) ⋁

Evidence: 0.75

Remarkable(linear algebra, be applied to machine learning) ⋁

Evidence: 0.87

¬ Plausible(linear algebra, be applied to machine learning)

0.49

Rule weight: 0.60
Evidence weight: 1.00
Similarity weight: 0.81

Evidence: 0.93

Plausible(algebra, be useful for machine learning) ⋁

Evidence: 0.93

Remarkable(calculus, is useful) ⋁

Evidence: 0.51

¬ Plausible(calculus, is useful)

0.49

Rule weight: 0.60
Evidence weight: 1.00
Similarity weight: 0.81

Evidence: 0.93

Plausible(algebra, be useful for machine learning) ⋁

Evidence: 0.90

Remarkable(quaternion, is useful) ⋁

Evidence: 0.52

¬ Plausible(quaternion, is useful)

0.45

Rule weight: 0.60
Evidence weight: 0.98
Similarity weight: 0.76

Evidence: 0.93

Plausible(algebra, be useful for machine learning) ⋁

Evidence: 0.73

Remarkable(linear algebra, be important in computer science) ⋁

Evidence: 0.87

¬ Plausible(linear algebra, be important in computer science)

Salient implies Plausible

0.26

Rule weight: 0.28
Evidence weight: 0.93
Similarity weight: 1.00

Evidence: 0.93

Plausible(algebra, be useful for machine learning) ⋁

Evidence: 0.98

¬ Salient(algebra, be useful for machine learning)

Similarity expansion

0.76

Rule weight: 0.85
Evidence weight: 0.98
Similarity weight: 0.90

Evidence: 0.98

Salient(algebra, be useful for machine learning) ⋁

Evidence: 0.97

¬ Salient(algebra, be applied to machine learning)

0.75

Rule weight: 0.85
Evidence weight: 0.97
Similarity weight: 0.90

Evidence: 0.96

Typical(algebra, be useful for machine learning) ⋁

Evidence: 0.93

¬ Typical(algebra, be applied to machine learning)

0.72

Rule weight: 0.85
Evidence weight: 0.94
Similarity weight: 0.90

Evidence: 0.93

Plausible(algebra, be useful for machine learning) ⋁

Evidence: 0.91

¬ Plausible(algebra, be applied to machine learning)

0.68

Rule weight: 0.85
Evidence weight: 0.98
Similarity weight: 0.81

Evidence: 0.98

Salient(algebra, be useful for machine learning) ⋁

Evidence: 0.96

¬ Salient(algebra, is useful)

0.67

Rule weight: 0.85
Evidence weight: 0.97
Similarity weight: 0.81

Evidence: 0.96

Typical(algebra, be useful for machine learning) ⋁

Evidence: 0.87

¬ Typical(algebra, is useful)

0.66

Rule weight: 0.85
Evidence weight: 0.98
Similarity weight: 0.79

Evidence: 0.98

Salient(algebra, be useful for machine learning) ⋁

Evidence: 0.90

¬ Salient(algebra, be useful today)

0.66

Rule weight: 0.85
Evidence weight: 0.98
Similarity weight: 0.79

Evidence: 0.98

Salient(algebra, be useful for machine learning) ⋁

Evidence: 0.97

¬ Salient(algebra, be important skill learn)

0.66

Rule weight: 0.85
Evidence weight: 0.97
Similarity weight: 0.79

Evidence: 0.96

Typical(algebra, be useful for machine learning) ⋁

Evidence: 0.73

¬ Typical(algebra, be useful today)

0.65

Rule weight: 0.85
Evidence weight: 0.97
Similarity weight: 0.79

Evidence: 0.96

Typical(algebra, be useful for machine learning) ⋁

Evidence: 0.89

¬ Typical(algebra, be important skill learn)

0.65

Rule weight: 0.85
Evidence weight: 0.94
Similarity weight: 0.81

Evidence: 0.93

Plausible(algebra, be useful for machine learning) ⋁

Evidence: 0.87

¬ Plausible(algebra, is useful)

0.64

Rule weight: 0.85
Evidence weight: 0.95
Similarity weight: 0.79

Evidence: 0.93

Plausible(algebra, be useful for machine learning) ⋁

Evidence: 0.77

¬ Plausible(algebra, be useful today)

0.63

Rule weight: 0.85
Evidence weight: 0.98
Similarity weight: 0.76

Evidence: 0.98

Salient(algebra, be useful for machine learning) ⋁

Evidence: 0.96

¬ Salient(algebra, be important in computer science)

0.63

Rule weight: 0.85
Evidence weight: 0.94
Similarity weight: 0.79

Evidence: 0.93

Plausible(algebra, be useful for machine learning) ⋁

Evidence: 0.89

¬ Plausible(algebra, be important skill learn)

0.62

Rule weight: 0.85
Evidence weight: 0.97
Similarity weight: 0.76

Evidence: 0.96

Typical(algebra, be useful for machine learning) ⋁

Evidence: 0.91

¬ Typical(algebra, be important in computer science)

0.61

Rule weight: 0.85
Evidence weight: 0.94
Similarity weight: 0.76

Evidence: 0.93

Plausible(algebra, be useful for machine learning) ⋁

Evidence: 0.89

¬ Plausible(algebra, be important in computer science)

0.59

Rule weight: 0.85
Evidence weight: 0.77
Similarity weight: 0.90

Evidence: 0.67

Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.71

¬ Remarkable(algebra, be applied to machine learning)

0.52

Rule weight: 0.85
Evidence weight: 0.75
Similarity weight: 0.81

Evidence: 0.67

Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.77

¬ Remarkable(algebra, is useful)

0.50

Rule weight: 0.85
Evidence weight: 0.75
Similarity weight: 0.79

Evidence: 0.67

Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.77

¬ Remarkable(algebra, be important skill learn)

0.50

Rule weight: 0.85
Evidence weight: 0.74
Similarity weight: 0.79

Evidence: 0.67

Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.80

¬ Remarkable(algebra, be useful today)

0.49

Rule weight: 0.85
Evidence weight: 0.77
Similarity weight: 0.76

Evidence: 0.67

Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.71

¬ Remarkable(algebra, be important in computer science)

Typical and Remarkable implies Salient

0.14

Rule weight: 0.14
Evidence weight: 0.99
Similarity weight: 1.00

Evidence: 0.98

Salient(algebra, be useful for machine learning) ⋁

Evidence: 0.96

¬ Typical(algebra, be useful for machine learning) ⋁

Evidence: 0.67

¬ Remarkable(algebra, be useful for machine learning)

Typical implies Plausible

0.45

Rule weight: 0.48
Evidence weight: 0.93
Similarity weight: 1.00

Evidence: 0.93

Plausible(algebra, be useful for machine learning) ⋁

Evidence: 0.96

¬ Typical(algebra, be useful for machine learning)

Typicality and Rermarkability incompatibility between a parent and a child

0.18

Rule weight: 0.51
Evidence weight: 0.44
Similarity weight: 0.81

Evidence: 0.67

¬ Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.84

¬ Typical(study, is useful)

Typicality and Rermarkability incompatibility between siblings

0.09

Rule weight: 0.14
Evidence weight: 0.78
Similarity weight: 0.81

Evidence: 0.67

¬ Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.33

¬ Typical(calculus, is useful)

0.08

Rule weight: 0.14
Evidence weight: 0.76
Similarity weight: 0.81

Evidence: 0.67

¬ Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.35

¬ Typical(quaternion, is useful)

0.05

Rule weight: 0.14
Evidence weight: 0.42
Similarity weight: 0.90

Evidence: 0.67

¬ Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.86

¬ Typical(linear algebra, be applied to machine learning)

0.05

Rule weight: 0.14
Evidence weight: 0.37
Similarity weight: 1.00

Evidence: 0.67

¬ Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.94

¬ Typical(linear algebra, be useful for machine learning)

0.04

Rule weight: 0.14
Evidence weight: 0.41
Similarity weight: 0.76

Evidence: 0.67

¬ Remarkable(algebra, be useful for machine learning) ⋁

Evidence: 0.87

¬ Typical(linear algebra, be important in computer science)

Typicality inheritance from parent to child

0.38

Rule weight: 0.48
Evidence weight: 0.97
Similarity weight: 0.81

Evidence: 0.96

Typical(algebra, be useful for machine learning) ⋁

Evidence: 0.84

¬ Typical(study, is useful)