In this article, we will look at how to tokenize never-before-seen words. Python’s tensorflow tokeniser can easily convert known words into tokens but what happens when you throw it words that it hasn’t seen before?
Tensorflow tokenizer is a very powerful tool. As shown in the article below it is very easy to get started with it.
The tokenizer can be used to convert a set of training data (sentences) into a dictionary where each unique word gets a different ID, so to say. Let’s look at how to create a dictionary out of words.
In Tensorflow, this dictionary is called a word…
Tensorflow tokenizer lets you convert the words in a sentence into numbers. Each word gets an ID and thus lets you perform a wide variety of NLP tasks from sentiment analysis to sentence similarity.
Let’s say we have the following sentence
One plus one is two
The tokenizer will give an id to every word.
Google’s vision comes from the foot soldiers because it is inherently engineer driven. The role of a PM, therefore, is to make sure the engineering machine is well oiled. A product manager at Google provides its engineers with any non-engineering support that they might need. That ranges all the way from design to customer feedback. One of the PM’s crucial roles is to base their function on analysis and strategy.
Google’s vision comes from the foot soldiers because it is inherently engineer driven.
To understand the kind of people they hire, one needs to know the culture they have. Google has always been a startup at heart. Their culture derives from the same. They welcome new and innovative ideas and are not afraid to venture into unchartered territories. They are open to sharing code across teams and cross team collaborations. This is why a lot of the product manager’s move across teams during their career at Google. …
Your inner voice is expressionless. It occurs purely as electrical signals in the brain, otherwise known as thoughts. These thoughts are akin to clay — shapeless and without integrity.
Your inner voice is expressionless.
Clay becomes a recognizable object when appropriate force is applied to it. A thought becomes reality in a similar fashion through the medium of writing. In fact, whether it is writing, painting, or dancing, the origin of a particular piece of art occurs as a thought.
It occurs purely as electrical signals in the brain
All of us possess some amount of evolutionary creativity. Then, why is not everyone creating art? The reason is that we art is extremely hard before it becomes easy. Art is equal parts creativity mixed with discipline. Not everyone can be a creative genius, but mostly every can be creative. …
ECMAScript
is a standard that web browsers follow while interpreting Javascript. Experts from across the world gather and decide on the changes that should make the language better. The 6th edition of such a conference happened in June 2015. The standard that came out of it was initially known as ECMAScript 6 (ES6
) and was later renamed to ECMAScript 2015. Since then the standard is named as ECMAScript [Year No.]
. This year’s standard is known as ECMAScript 2020
For the purposes of counting words in Shakespeare we will use the following Unix commands/tools
tr is a utility in Unix-like operating systems used to replace or remove specific characters in its input data set. It is an abbreviation of translate or transliterate.
The utility reads a byte stream from input and writes the result to the console. As arguments, it takes two sets of characters, and replaces occurrences of the characters in the first set with the corresponding elements from the second set. …
Every now and then a data scientist comes across a text processing problem. Whether it is searching for titles in names or dates of birth in a dataset, regular expressions rear their ugly head very frequently. A regular expression is enough to scare any programmer beyond wits.
Data in the real world exists as a collection of distinct information. More often than not this information is organised as tables. Each table collecting data on a different aspect of the ecosystem. For example, a school might organise its data into the following tables
We can clearly see that tables 2 and 3 will have something in common (student IDs for one), just like tables 1 and 4 (teacher IDs for instance).
Such overlap of information across tables is quite common and becomes the basis for a join. A join lets you combine information from different tables. In R we have 6 types of joins. Let’s explore each of them with an example. …
India started its flights after a 2 month flying ban on airlines. The flight journey is not without its risks. Consequently airports and airlines are taking extreme precautions like PPE suits, thermal screening etc. At the same time there are lapses in arrangement which could turn out to be extremely dangerous if not corrected. This article is a summary of all the major things to note when flying within India. I have also documented my flight experience in a video attached at the end of this article.
I will cover the following checkpoints
Python has a very powerful data analysis stack in the form of Pandas, Numpy, Scipy etc., but none of these libraries offer parallelism. Dask injects the much-needed parallel processing that has always been holding these libraries back from server level deployment. Dask provides parallelism for analytics, enabling performance at scale for existing python structures like, Numpy arrays, Pandas dataframes and machine learning tools from SciKit-Learn. Apart from parallelism in arrays and dataframes, Dask packs in itself a variety of advantages.
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