ch.2 Flashcards

(49 cards)

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

23
Q

property

24
Q

intuition

25
complexity
پیچیدگی
26
adjust
تنظیم کنید
27
evaluate
ارزیابی کنید
28
entities
موجودیت ها
29
straight
مستقیم
30
intercept
جدا کردن
31
slope
شیب
32
split
دونیم کردن
33
constantly
به طور مداوم
34
accuracy
دقت
35
chunk
تکه | devide it into chunks
36
batch
دسته
37
leave out
ترک کردن
38
row
ردیف
39
column
ستون
40
diagonal
قطر
41
distinguish
تمیز دادن
42
fraction
کسر
43
numerator
صورت کسر
44
informative
حاوی اطلاعات مفید
45
segment
بخش
46
precision
دقت
47
underlying
اصولی یا اساسی | , rather than the underlying relationship between the data points.
48
misquoted
بد نقل کردن | quote (a person or a piece of written or spoken text) inaccurately
49
prevent
preventing overfitting