R Markdown is a powerful tool that lets you generate rich PDF using TeX engine. In R Markdown you can integrate prose and your analysis along with code, its outputs, and graphics. However, the use of R Markdown is not limited to the R language itself but a variety of other languages can be integrated.
When it comes to writing your code along with explanations and descriptions, R Markdown is very similar to Jupyter Notebook, but there are several things that R Markdown can do that Jupyter Notebook lacks. For example, with Jupyter Notebook, it is not straightforward to include a custom LaTeX package. With R Markdown, I found out that it is very easy to include a custom LaTeX page. …
2020 saw the rise of new and young investors. To tap the sudden influx of new investment funds, several companies filed for IPO or went public through a special purpose acquisition company or SPAC also called a reverse merger. In total, they raised a whopping $24 billion as of December 2020 in the US Stock Market¹. Examples of companies merging with SPACs include electric vehicles (EV), cannabis, technology, gaming, and finance.
How to choose the right SPACs
Out of all SPACs in 2020, the most successful was Live Oak Acquisition Corp that provided a return of approximately 171% since its debut. The company ultimately ended up merging with Danimer Scientific, a company specializing in the biodegradable plastic feedstock. …
For decades, academics and researchers have been warning about the consequences of climate change. Deforestation, air pollution due to non-renewable energy sources, and industrialization have led to several irreversible changes. Greed has triumphed for short-term wealth and affluence over the human species' survival in the long run. Big oil companies such as Exxon Mobil, tobacco companies, asbestos, and lead industries even went to greater lengths to make sure that the public does not catch up with the sentiments of climate scientists, researchers, and pro-environment policy makers² ¹.
Even though there is no dispute among scientists³ about the impact of human activities on sudden climate change, polar ice-sheet melting, etc., public skepticism has grown, specifically among the rural population and conservatives about climate change. …
Ever wondered how an urban fantasy looks like? Have you ever imagined a life out of the concrete roads, magnetic trains, skyscrapers, and piles of filth? Many of us have read about witchcraft, vampirism, supernatural creatures but they are mostly mythological, somewhat related to natural habitat, and far from being anthropogenetic.
Where a usual idea of fantasy stops, the idea of The City’s Son begins. Rail-wraith, electric damsels, shape-shifting creatures purely made up of garbage, and villains who are purely cranes and bulldozers, together they give rise to urban fantasy. You may think I am talking about the Transformers book and movie series. …
This is an incident that occurred during an Indian festival — Durga Puja in some neighborhood of Kolkata — the state capital of an Indian state, West Bengal. For Indians, especially Bengalis, Durga Puja has similar significance as Christmas has for Americans. Durga Puja is celebrated during months of October based on a lunar calendar. The festival is celebrated during a period of ten days with a number of rituals. Local artists create sculpture of Goddess Durga and decorate them with a mix of traditional and modern design.
I was sensing festivity in the air. Yes, October had arrived and this ended the longest wait for Bengalis. People were already on the streets, in markets, stores, and shopping malls and it was the last phase of Puja Shopping. Mahalaya was after two days from today and ten days thereafter, Vijaydashmi. Soon corners of streets would be crowded with spectators trying to make their way to see the best decoration of Goddess Durga. …
In my previous article, I wrote about model validation, regularization, and callbacks using TensorFlow 2.x. In the machine-learning pipeline, creating a trained model is not enough. What are we going to do with the trained model once we have finished the training, validated, and tested it with a portion of data set aside? In practice, we would like to import such a trained model so that it can be of use in some practical applications. For example, let's say I trained a model on camera images to recognize pedestrians. Ultimately, I want to use the trained model to make a real-time prediction of detecting pedestrians with a camera mounted on a self-driving car. Additionally, training a model also needs saving the model as checkpoints, especially when you are training a model on a really large dataset or training time is in the order of hours. …
In the nights, in dreams, in the fallen unconsciousness,
When you will be left with no clue,
When you will lose every hope to return,
I will find you in the deepest darkness.
In the fog, in the midst, on the frozen island,
When you will be lost on the barren land,
You will fall upon knees praying to God,
I will be the savior for you in the coldest storm.
No matter how hopeless you will be,
No matter how much trust you will lose,
Building beliefs will be difficult than ever,
I will strengthen you in the weakest situation. …
It is rising high on the blue moon,
Washing my feet on Santa Monica.
It is saying something to me,
It is saying as if to turn back and never look again
Never look again here for you to come back
And kiss me in those dreary evenings
when I need the warmth of your hugs
And a touch of your lips.
Should I say goodbye to you forever and
Shatter all my hopes to see you ever again!
Why did you have to go beyond the fathomless ocean?
Leaving me behind restless and half-hearted.
The emptiness is all I have now. …