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06
Jan

0

Being Good At Math To Be A Good Data Scientist?

Being good at math is an important skill for a data scientist to have, as data science involves the use of mathematical and statistical concepts and techniques to analyze and interpret data. However, the level of math proficiency required can vary depending on the specific role and responsibilities of a data scientist.

04
Jan

0

Clustering And Topic Modeling In NLP: What Happens If K-means And LDA Have A Competition?

One day, K-means and LDA, two popular algorithms in natural language processing (NLP), decided to have a friendly competition to see which one was better at clustering and topic modeling. K-means, known for its simplicity and speed, boasted that it could group any collection of documents in a flash. LDA, on the other hand, was confident in its ability to uncover the latent topics hidden within the data using probabilistic generative modeling.

02
Jan

0

Maximizing Your Data Science Career Potential: Professional Development And Advancement

Development and Advancement” is a comprehensive guide to help data scientists and aspiring data scientists take their careers to the next level. Whether you are just starting out in data science or looking to move up in your current role, this guide will help you achieve your career goals and maximize your potential as a data scientist.

19
Dec

0

Creating A Forest From A Tree: A Brief Introduction To Random Forest

Perhaps you already know that data scientists identify patterns in massive volumes of data. But do you know how? They use many different machine learning algorithms to translate the data into actionable insights based on which organizations make strategic business decisions. They need to choose the right algorithm to solve the problem at hand.

18
Dec

0

Keras Vs PyTorch

Deep learning has gained massive popularity over the last few decades. This subset of AI (Artificial Intelligence) can prove to be handy when you apply it to your business or is even a good subject to learn if you just want to increase your marketable skills. However, to reach your business or learning goals, it’s important to choose the right deep learning framework. Here, we’ll discuss and compare two popular deep learning frameworks, namely Keras and Pytorch, to help you decide which one would work the best for your machine learning projects or real-world applications.

24
Aug

0

How To Use PostgreSQL In A Jupyter Notebook?

Jupyter notebooks can be powerful tools to connect to your remote database. They allow you to streamline, replicate, and document your data. In this tutorial, using a Jupyter notebook, we will briefly see how to connect to a PostgreSQL database, which is a popular open-source relational database, and how to make queries in a Jupyter Notebook using Python language.