How Practical Is Python For Prototyping Data Science Projects At Scale?
Author(s): ___ Originally published on Towards AI. The Naive Solution In this article, I will share my thoughts on the practicality of using Python to work on compute-intensive data science projects. The primary audience for this article is data scientists working in …
A Surefire Way to Building a Neural Network Using Python
Author(s): Abhishek Kumar Originally published on Towards AI. Do you ever wonder how the browse feeds of your Netflix, YouTube, or Instagram Accounts can be so riveting so as to kill hours of your time against your will? Or how there are …
Why Perceptron Neurons Need Bias Input?
Author(s): Caio Davi Originally published on Towards AI. How to avoid bias input in Neural Networks? Please, just don’t. Everybody knows what is the neural network bias input. And everybody uses it since the very first Perceptron implementation. But why we use …
When GraphSAGE Meets Pinterest
Author(s): Edward Ma Originally published on Towards AI. Photo by Pinterest In the previous stories, we introduced Introduction to Graph Embeddings, Random Walk in Node Embeddings, and 4 Graph Neural Networks. I would like to further extend to PingSAGE. It was proposed …
Python’s List Comprehensions
Author(s): Vivek Chaudhary Originally published on Towards AI. Programming Lists are Python Data structures that are used to store multiple elements in a single variable. List comprehension is a more simple way to define and create a list in python, lists can …
How do Twins and Triplet Neural Network work
Author(s): Edward Ma Originally published on Towards AI. Photo by Ralph Mayhew on Unsplash As a practitioner, we usually build a multiclass classification model which is a predefined number of categories. Indeed, we do not need to know the total number of …
Hands-On Theano: One of the Most Powerful Scientific Tools for Python
Author(s): Tommaso De Ponti Originally published on Towards AI. Get started or improve your Machine Learning/Data Science projects by using Theano Photo by Franck V. on Unsplash In my previous article, I mentioned 13 Data Science libraries for Python and I also …
How to Run Jupyter Notebooks on MacOS Catalina — in Four Steps
Author(s): Pushkar Pushp Originally published on Towards AI. How to Run Jupyter Notebooks on MacOS Catalina — in Four Steps In my previous blog, I walked you through all steps to run a jupyter notebook. If you’re a data scientist or developer …
Summarizing A.I. Articles using A.I. (What else??)
Author(s): Jair Ribeiro Originally published on Towards AI. This is how I’m using Artificial Intelligence to summarize my favorite articles about… Artificial Intelligence and build a weekly newsletter. I read an endless number of articles every week about A.I., and I believe …
#BlackLivesMatter ✊✊✊: VADER Sentiment Analysis of Twitter using Python
Author(s): Abhijeet Sahoo Originally published on Towards AI. Creating a Developer Account and App in Twitter Photo by Timothy Dykes on Unsplash “Please, I can’t breathe” — George Floyd These final words from an innocent black man on 25th of May 2020 …
Create a Virtual Environment in Windows OS and Run a Flask Application Locally
Author(s): Bala Gopal Reddy Peddireddy Originally published on Towards AI. Easily create a virtual world for your projects A virtual environment creates separate space for a project with its dependencies at a definite place. This environment is distinct to the specific project …
Web Scraping Using Python: Stock Market Example
Author(s): Onur Okyol Originally published on Towards AI. Photo by Road Trip with Raj on Unsplash Websites are mostly built with HTML or XML These markup languages go in a certain order. The process of extracting data from this layout is called …
Python Basics — 5: Files and Exceptions
Author(s): Durgesh Samariya Originally published on Towards AI. Day 5 of 100 Days of Machine Learning Photo by James Harrison on Unsplash I believe you are following my all previous part (if not, then you can find them here → part 1, …
Analysing Whatsapp Group Chats using StreamLit— Part II
Author(s): Saiteja Kura Originally published on Towards AI. The output — A screenshot the web app. Don’t be satisfied with “almost” completing a task. Continue until you complete it. In data science, it is important to work on real-time projects. It is …
Getting Started with Titanic Kaggle | Part 2
Author(s): Durgesh Samariya Originally published on Towards AI. Let’s develop a model to predict Titanic’s challenge with Kaggle Source: National Geographic In the last post, we started working on the Titanic Kaggle competition. If you haven’t read that yet, you can read …
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