The semiconductor industry is a growing industry, the beginning of the semiconductor industry was actually in the silicon valley.

We are now taking a look at a reticle.

algorithms used in the semiconductor industry

Per KLA —

Classification

• Random forest
• Boosted decision trees
• MLPs
• CNNs

Reference generation

• GANs (WAT)
• VAEs

Natural Grouping and Clustering

• auto-encoders
• manual feature extractors

sense is the meaning of the word.

synonymy

synonymy—using synonyms as a proxy for word meaning.

But! There are probably no examples of perfect synonymy: two synonyms have slightly different sense (“my big sister” != “my large sister”)

word relatedness

not synonyms, but closeness in utility or semantic frame:

• coffee + tea — similar
• coffee + cup — related, but not similar

semantic field

words that relate by covering a similar semantic domain:

Common algorithm

1. tokenization
2. classier for whether a period token is a part of a word or the sentence boundary

\begin{equation} \dv{y}{t} = a(t)f(y) \end{equation}

are a class of functions are called seperable. We can solve them using the division method

division method

the division method involves solving autonomous ODEs by dividing and treating it normally:

\begin{equation} y’ = 8y \end{equation}

\begin{equation} \frac{y’}{8} = y \end{equation}

we now write something fishy:

\begin{equation} \frac{\dd{y}}{y} = 8 \dd{t} \end{equation}

we now take the antiderivative of this:

\begin{equation} \int \frac{1}{y} \dd{y} = \int 8 \dd{t} \end{equation}

We will get that: