“It’s a badge of honor to be a workaholic. But I don’t want to die at my desk”
- A developer
Developers are very passionate about their work, so they often find themselves working on projects late into the night.
To be a programmer is a noble profession. To be a good programmer is even nobler. I’m not talking about how many lines of code you can write in an hour, or how many bugs you can fix in a day, or how much time you spend on Stack Overflow. …
90% of startups fail due to a lack of planning on an MVP version. Certainly, all ideas are worth coming to market but they don't really hit the benchmark because of a bad MVP version.
Creating an MVP depends on many factors like
Everyone’s talking about raising money via sales, right? We all know that “raising money”. But when you learn it and use it, you’ll see a huge difference in your raising money via sales and how fast you can get more money in a startup.
In this blog, I will share my experience in my startup that has led us to earn more than $50k in just two months. These are the possible questions we will discuss:
What does the content cover?
how does your target audience want to see you?
Why do startups need patience?
Let's start with the basics…
This has been the most controversial topic among flask and Django developers. There has been a war waging since both came into existence. So, let's find out what’s the difference between both of these packages.
Let's start from basics,
Both frameworks do the same work of serving for building a web-application. For example, there's always a controversy between i-phones and Andriod phones. Both smartphones do the same work, but yet the ways of doing it are different. Let's understand what is flask and Django.
Extracting keywords with similar meaning from a Text Corpus
Ever thought of extracting or searching for similar words from a big text corpus, but then you got thought of the hard work and then sat to code. Because that's the only option.
Woooh !!! I got tired of writing the above text.
Let's simplify and understand the problems with old school Latent Dirichlet Allocation and Probabilistic Latent Semantic Analysis. We will also learn about the…
“I love this dataset and can't wait until I start exploring it.”
This is one of the most common dialogues heard from the data science community when they see new data. I don't really write blogs on data, but as the name suggests this is Xtreme ;).
“XTREME is a zero-shot cross-lingual transfer from English.”
Wohhh…that was too much to take it in a single go. Let's break it down and understand what it is actually?
Let's start with knowledge of what is zero-shot learning. In simple words whenever we train a model without giving it the desired input is…
Back to the days when we used to spend hours spending days under deployment of ML models. A lot of time spent on building a good UI as well. Things were a lot messed up, making things more dynamic required usage of asynchronous connections to make things more interactive for users.
Fixing every little thing in UI to making the user experience fit the goal stack.
There were many ways of deploying machine learning models and making it available to real-time users. …
Half knowledge is a dangerous thing. Yeap that's true. Let's look into how this half-knowledge has destroyed the concepts of MVP.
With time we have misunderstood the concept of MVP in development.MVP stands for Minimum Viable Product. This was the culture that became trending from the book named the Lean Startup by ERIC RIES.
The very first thing that comes to my mind when talking about an MVP is, to how much extent a product must be built? Are we going to test it in the real market or getting ready for its alpha model? What are we trying to…
Searching some relevant answer or semantically same text for a question is always one of the most demanding tasks in any company. How about building a small engine that can support your current need for the same.
This is our 2nd blog on semantic understanding. If you haven’t been through the previous, please go through this link.
But before starting with bert-as-service lets first, know a bit about its history.
Convolution neural networks are considered to be one of the most good to go solutions for classification tasks especially in case of images. CNN (convolution neural networks) works on the basic fundamentals of convolutions. Convolution can be defined as the mathematical operation of two functions (f and g) which produces a third function expressing how the shape of one is modified by the other.
We just summarised the whole convolution into just 4 lines. It seems unfair to me ;) Let's break it down.
Consider a one dimension motion, and we are dropping a ball from above the ground at…