How To Build A Predictive Model For NBA Games
Author(s): George Pipis An example of a Machine Learning model to predict the outcome of the NBA Games using R Continue reading on Towards AI » Published via Towards AI …
The AI Monthly Top 3 — February 2021
Author(s): Louis (What’s AI) Bouchard The 3 most interesting AI papers this month with video demos, short articles, code, and paper reference. Continue reading on Towards AI » Published via Towards AI …
Practical Guide: Build and Deploy a Machine Learning Web App
Author(s): Billy Bonaros This is a guide for a simple pipeline of a machine learning project. For this course, our target is to create a web app that will take as… Continue reading on Towards AI » Published via Towards AI …
Generative Adversarial Transformers: GANsformers Explained
Author(s): Louis (What’s AI) Bouchard They basically leverage transformers’ attention mechanism in the powerful StyleGAN2 architecture to make it even more powerful! Continue reading on Towards AI » Published via Towards AI …
Digital Artist: Creative Adversarial Networks(CAN)
Author(s): Daksh Trehan Computer Vision, Deep Learning An interesting approach to make AI better at the art of “faking”! Artificial Intelligence has surely stormed mankind in past years, the machines are extremely good at imitating what we tell them to do. But AI …
NLP using Deep Learning Tutorials : Understand The “Perceptron”
Author(s): Abdelkader Rhouati This article is a part of a series that I’m writing, and where I will try to address the topic of using Deep Learning in NLP. First of all… Continue reading on Towards AI » Published via Towards AI …
Why is Business Intelligence useful for a Data Scientist?
Author(s): Eugenia Anello Understanding the differences between Data Warehouse and Data Lake Continue reading on Towards AI » Published via Towards AI …
Deep Dive Into Neural Networks
Author(s): Amit Griyaghey Deep Learning Photo by Drew Graham on Unsplash Apart from well-known Applications like image and voice recognition Neural Networks are being used in several contexts to find complex patterns among very large data sets, an example is when an E-mail …
3 Common Problems with Neural Network Initialisation
Author(s): Louis Chan What are the impacts? And how can we avoid them? Continue reading on Towards AI » Published via Towards AI …
Why Python Is The Perfect Language For A Machine Learning Project
Author(s): Bipin Biddappa P K Machine Learning, Opinion And here are a set of reasons why I love it Photo by Hitesh Choudhary on Unsplash Introduction Python was always doing well because of its stable and easily maintainable nature, like a popular teen going …
Data Exploration of Zero To One by Peter Thiel
Author(s): sk7 Natural Language Processing “Brilliant thinking is rare, but courage is in even shorter supply than genius.” — Zero to One by Peter Thiel. Known as the ultimate startup playbook and less-so as a political manifesto, Zero to One by Peter Thiel takes you …
Key Phrase Extraction and Visualization : Python and Power BI
Last Updated on March 6, 2021 by Editorial Team Author(s): Jayant Kumar Kodwani Natural Language Processing Key Phrase Extraction and Visualization: Python and Microsoft Power BI Discover insights in unstructured text Implementing RAKE algorithm in Python and Power BI integration Key-Phrase Extraction, Photo …
The Benefits of Artificial Intelligence
Author(s): Jair Ribeiro A.I. is a powerful technology with several benefits for business. Let’s explore some of them. Continue reading on Towards AI » Published via Towards AI …
Time-Series Prediction of Bitcoin Price Using LSTM’s
Author(s): Sameen A simple model to predict Bitcoin price. Continue reading on Towards AI » Published via Towards AI …
A Complete Overview of the Probability Distributions with Examples, R Implementation
Author(s): Rashida Nasrin Sucky Most Popular and Widely Used Discrete and Continuous Probability Distributions Continue reading on Towards AI » Published via Towards AI …
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