ch.2 Flashcards

1
Q

TERMINOLOGY

A

واژه شناسی

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

notation

A

نشانه گذاری

We will often write equations in vector and matrix notation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

analogous

A

مشابه

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

inaccuracies

A

اشتباهات

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

plot

A

رسم کردنit is often useful to be able to plot it and look at it

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

x-axis

A

محور x

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

projections

A

پیش بینی ها

We can look at projections of the data into our 3D world by plotting

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

schematic

A

طرحواره

There is a schematic of a neural network on the left of Figure 2.1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

coordinates

A

مختصات

If we treat the weights that get fed into one of the neurons as a set of coordinates

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

hypersphere

A

a sphere that exhibits more than three dimensions.

A 3D crosssection of a hypersphere is simply a sphere.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

sphere

A

کره

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

infinity

A

بی نهایت

the number of dimensions tends to infinity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

bounding cube

A

مکعب محدود

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

counterintuitive

A

بر خلاف غریزه و یا روال معمول

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

generalise

A

تعمیم دادن

we want the algorithms to generalise to examples that were not seen in the training set

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

variability

A

تغییر پذیری

The number of degrees of variability in most machine learning algorithms is huge

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
17
Q

eventually

A

سرانجام

it will eventually produce a much more complex model

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
18
Q

Validation Sets

A

اعتبار سنجی مجموعه

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
19
Q

proportion

A

تناسب

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
20
Q

sufficiently

A

enough

the algorithm won’t be sufficiently trained

21
Q

subsets

A

زیر مجموعه

The dataset is randomly partitioned into K subsets

22
Q

regression

A

پسرفت

23
Q

property

A

ویژگی

24
Q

intuition

A

بینش,

25
Q

complexity

A

پیچیدگی

26
Q

adjust

A

تنظیم کنید

27
Q

evaluate

A

ارزیابی کنید

28
Q

entities

A

موجودیت ها

29
Q

straight

A

مستقیم

30
Q

intercept

A

جدا کردن

31
Q

slope

A

شیب

32
Q

split

A

دونیم کردن

33
Q

constantly

A

به طور مداوم

34
Q

accuracy

A

دقت

35
Q

chunk

A

تکه

devide it into chunks

36
Q

batch

A

دسته

37
Q

leave out

A

ترک کردن

38
Q

row

A

ردیف

39
Q

column

A

ستون

40
Q

diagonal

A

قطر

41
Q

distinguish

A

تمیز دادن

42
Q

fraction

A

کسر

43
Q

numerator

A

صورت کسر

44
Q

informative

A

حاوی اطلاعات مفید

45
Q

segment

A

بخش

46
Q

precision

A

دقت

47
Q

underlying

A

اصولی یا اساسی

, rather than the underlying relationship between the data points.

48
Q

misquoted

A

بد نقل کردن

quote (a person or a piece of written or spoken text) inaccurately

49
Q

prevent

A

preventing overfitting