Data Science

What Personal Data do Navigation Apps Collect?

The tradeoff between convenience and privacy continues to grow in importance as technology becomes more intertwined in our lives. Tech giants like Facebook and...

Building a Feedforward Neural Network using Pytorch NN Module

Feedforward neural networks are also known as Multi-layered Network of Neurons (MLN). These network of models are called feedforward because the information only travels forward in...

Regression with Keras (Deep Learning with Keras – Part 3)

Regression After two introductory tutorials, its time to build our first neural network! The network we are building solves a simple regression problem. Regression is...

The Benefits of Implementing Data Science in Digital Marketing

Digital marketing strategies would hardly exist without data science. It gives you insight into your customers’ preferences and needs. The information you collect identifies...

How to Connect Google Colab with Google Drive

In this tutorial, you’ll learn how to connect your Google Colab with Google Drive to build some Deep Learning model on Google Colab. In...

List of Data Science and Machine Learning GitHub Repositories to Try in 2019

Here is the list of selected Data Science and Machine Learning GitHub Repositories to Try in 2019 Paper with Code Facebook’s Detectron Training a Model on the...

What are the 3 Big Data Careers Often Misinterpreted by Professionals?

There’s never been a better time to launch that career in the data related field and enter the new workforce. The job prospects are...

21 Free Data Sets/ Projects for Data Science Beginners

We have listed below some of the best datasets/ projects for data science beginners. 1. Enron Emails:  2. The United States Census Data:  3. Walmart:  5. CDC Cause...

A Few Things To Remember Before Going To Start a Data Science Course

Over the last few years, the data science domain has evolved exponentially. In present times, it has become the backbone of many organizations across...

How Generative Adversarial Networks (GANs) work?

Generative Adversarial Networks were first introduced in 2014 in a research paper. They have also been called  “the most interesting idea in the last...

Understanding the Four Types of Data Analytics

Data analytics can be a complex subject matter for many individuals, but it's very quickly growing into a necessary study for the future of...

Principal component analysis (PCA) using R

Principal component analysis (PCA) is a statistical analysis technique that uses an orthogonal transformation to convert a set of observations of possibly correlated variables...

Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with...

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Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard...

Google DeepMind Releases RecurrentGemma: One of the Strongest 2B-Parameter Open Language Models Designed for...

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Language models are the backbone of modern artificial intelligence systems, enabling machines to understand and generate human-like text. These models, which process and predict...

Finally, the Wait is Over: Meta Unveils Llama 3, Pioneering a New Era in...

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Meta has revealed its latest large language model, the Meta Llama 3, which is a major breakthrough in the field of AI. This new model is not just...

TrueFoundry Releases Cognita: An Open-Source RAG Framework for Building Modular and Production-Ready Applications

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The field of artificial intelligence is rapidly evolving, and taking a prototype to production stage can be quite challenging. However, TrueFoundry has recently introduced a new...

Meet Zamba-7B: Zyphra’s Novel AI Model That’s Small in Size and Big on Performance

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In the race to create more efficient and powerful AI models, Zyphra has unveiled a significant breakthrough with its new Zamba-7B model. This compact,...

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