Sentiment Analysis on Movie Reviews with NLP Achieving 95% Accuracy
Author(s): Michelangiolo Mazzeschi Full code available at my Github repository. The primary source is available on Kaggle Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
AI Ethics: Identifying Your Ethnicity and Gender
Author(s): Allen Jiang Originally published on Towards AI. Exploring Natural Language Processing (NLP) and Machine Learning Why is this an important question? Ultimately this is a stepping stone to answering the ethical question: should we teach Artificial Intelligence to detect your ethnicity? …
MuZero: Master Board and Atari Games with The Successor of AlphaZero
Author(s): Sherwin Chen Reinforcement Learning A gentle introduction toΒ MuZero Image by FelixMittermeier fromΒ Pixabay Introduction Although model-free reinforcement learning algorithms have shown great potential in solving many challenging tasks, such as StarCraft and Dota, they are still far from state of the art …
Why Do Customers Leave?
Author(s): Mahbubul Alam The data science of customer churn: finding causality, not correlation Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Copy and Paste Programming in Data Science
Author(s): Benjamin Obi Tayo Ph.D. How you can use GitHub and Medium to leverage productivity and efficiency in your data science projects Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
GPT-3 from OpenAI is here and itβs a Monster
Author(s): Przemek Chojecki Originally published on Towards AI. Machine Learning The newest GPT-3 from OpenAI has 175 billion parameters and it is 10 times larger than the previous largest model, Turing-NLG from Microsoft. The behavior that emerges from this large model is …
GPT-3 from OpenAI itβs Here and itβs a Monster
Author(s): Przemek Chojecki 175 billion parameters, 10 times larger than the previous largest model, GPT-3 is the largest trained Transformer to date. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Whatβs βnaiveβ about Naive Bayes Classifier?
Author(s): Ramya Vidiyala Naive Bayes in a Nutshell Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
6 Minutes Mantra To Create Resources On Google Cloud
Author(s): Ritheesh Baradwaj Yellenki Originally published on Towards AI. Cloud Computing How to create computing resources using Google Deployment Manager within a few steps Made using Canva I have a friend who is good at Machine Learning, like the genius of that …
6 Minutes Mantra To Create Computing Resources On Google Cloud
Author(s): Ritheesh Baradwaj Yellenki How to Create Computing Resources using Google Deployment Manager within a few steps Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Sentiment Analysis on Tweets with NLP Achieving 96% Accuracy
Author(s): Michelangiolo Mazzeschi Full code available at my Github repository. The primary source is available on… Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Data Science MOOC are too Superficial
Author(s): Benjamin Obi Tayo Ph.D. Most massive open online courses are too superficial. These courses are introductory-level courses. For in-depth knowledge, more is needed. Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …
Gather AI, Revolutionizing Inventory Management One Drone at a Time
Author(s): Roberto Iriondo Source: GatherΒ AIΒ Gather AIβs video showcases the worldβs first dedicated autonomous software-only inventory management platform for warehouses. Recently, I had the pleasure of visiting one of the most innovative AI companies in Pittsburgh. Gather AI, an autonomous inventory management …
Wine Classifier Using Supervised Learning with 98% Accuracy
Author(s): Michelangiolo Mazzeschi Guide to supervised learning Continue reading on Towards AIβββMultidisciplinary Science Journal Β» Published via Towards AI …