The Future of AI Is Quantum Computing: 10 of the Most Important Use Cases
Author(s): Anil Tilbe Originally published on Towards AI. A comprehensive but abridged explanation of the intersection of AI and quantum computing (with use cases and challenges) By Erik Mclean from Pexels Quantum computing is still in its early stages [13], potentially impacting …
Bayesian Inference: The Best 5 Models and 10 Best Practices for Machine Learning
Author(s): Anil Tilbe Originally published on Towards AI. The advantages, top 5 models, and top 10 best practices for applying Bayesian inference to machine learning problems From Pixabay Bayesian inference is a popular machine learning technique that allows for an algorithm to …
Blockchain and NLP: Top 10 Approaches and Opportunities
Author(s): Anil Tilbe Originally published on Towards AI. When tied together, blockchain and NLP have numerous advantages, applications, and use cases across multiple industries By CocaKolaLips from Pexels Blockchain is a new and innovative technology that has the potential to change the …
Large Language Models (LLM): Top 3 of the Most Important Methods
Author(s): Anil Tilbe Originally published on Towards AI. 3 requirements to ensure your large language models (LLMs) you are training or working with provide optimal outputs and results By ThisIsEngineering from Pexels Large language models (LLM) currently apply across natural language specific …
5 Must-Know NLP Libraries on GitHub; One is a Must-Learn
Author(s): Anil Tilbe Originally published on Towards AI. The most important NLP libraries on GitHub for simple, efficient, and quick NLP modeling By Kenny Eliason from Unsplash If a natural language processing (NLP) library is not hosted on GitHub, it likely does …
5 Must-Know Machine Learning Libraries on GitHub; One is a Must-Learn
Author(s): Anil Tilbe Originally published on Towards AI. The most important machine learning libraries on GitHub for simple, efficient, and accurate modeling By Pro Church Media from Unsplash 5 Must-Know Machine Learning Libraries on Github; One is a Must-Learn I have probably …
The Framework Uber Uses to Streamline Statistical Experiments
Author(s): Jesus Rodriguez Originally published on Towards AI. OED enables the scoring and optimization experiments using Pyro’s probabilistic programming model. Source: https://eng.uber.com/oed-pyro-release/ I recently started an AI-focused educational newsletter, that already has over 125,000 subscribers. TheSequence is a no-BS (meaning no hype, …
Why Apriori Algorithm Is Not Applicable for All Types of Products/Stores?
Author(s): OneByyTwo Originally published on Towards AI. Apriori algorithm is the most sought-after tool when it comes to conducting Market Basket Analysis. However, it is not applicable to all types of products or stores. A note from the authors Dear readers, before …
A Comprehensive Guide For Text Classification using PySpark MLlib
Author(s): Himanshu Tripathi Originally published on Towards AI. Introduction Have you ever wondered if you ever post something on social media websites that goes against their community standard, how can they identify it and perform appropriate action on that? Well, the idea …
Training Data vs. Test Data in Machine Learning — Essential Guide
Author(s): Hrvoje Smolic Originally published on Towards AI. Read on to understand the difference between training data vs. test data in machine learning. Knowing the difference and ensuring you’re using both the right way is essential. In this article, we will discuss …
Robotics Join Machine Learning for an Electric Future
Author(s): Salvatore Raieli Originally published on Towards AI. How robotics and AI can speed energy transition and reduce emissions image source Robson Hatsukami Morgan from unsplash.com One of the most important steps toward the electrification of transportation and aircraft is the development …
Do Not Curse Your Machine Learning Models When They Are Not Performing Well in Real-time — Instead, Do This
Author(s): Suhas Maddali Originally published on Towards AI. While the performance of machine learning models can seem extremely good on the test data, failing to understand the chances of them not performing well on real-time data can cause a lot of loss …
Amazing SQL Queries for Data Science
Author(s): Ashbab khan Originally published on Towards AI. Top highlight SQL is the essential language for developers, Engineers, and Data professionals. Intermediate knowledge in SQL gives you an edge in your data science career. Photo by Shubham Dhage on Unsplash So in …
Data Analytics — Where is it Heading?
Author(s): Poornachandra Sarang Originally published on Towards AI. Understanding the current state of data analytics from a data scientist’s perspective Photo by Chris Liverani on Unsplash Many years ago, when the field of data analytics spun off, it was mainly the statistical …
ELI5: Expectation Maximization Clustering
Author(s): Anmol Tomar Originally published on Towards AI. The Clustering technique every Data Scientist Should Know Image Credit: Unsplash Imagine you know 100 people and you score them(1–10) based on their personality traits such as funny, interactive, smart, hard-working, etc. Now, you …
Popular posts
Updates
Recent Posts
