How to collect free-text feedback: an introduction for a data scientist
Author(s): Anil Tilbe Originally published on Towards AI. Understand how to develop technical learning systems to collect free-text, open-ended responses from users. Photo by Emily Morter from Unsplash To truly understand the type of measurement framework to implement for how to solicit …
XGBoost: Its Present-day Powers and Use Cases for Machine Learning
Author(s): Anil Tilbe Originally published on Towards AI. Being that XGBoost achieves implementations with the ability to handle missing values, which are one of the major drawbacks in most of the other algorithms, scalabilities, not just time-efficiencies, are very promising for the …
Zero-shot Learning Deep Dive: How to Select One and Present-day Challenges
Author(s): Anil Tilbe Originally published on Towards AI. How to build the learning into a zero-shot classifier with just a few hundred labeled instances per class? First, we have to clarify at a high level the difference between zero-shot learning and deep …
Master Data Wrangling First: Top 20 Python Libraries + Best Practices
Author(s): Anil Tilbe Originally published on Towards AI. Processes, approaches, Top 20 libraries, along with important best practices — how to do it all with Python By Pixabay from Pexels Data Wrangling is transforming data from one format to another. Python is …
Regression Analysis Is Exceedingly Difficult: How to Master It Without Coding
Author(s): Anil Tilbe Originally published on Towards AI. Achieve a strong foundational understanding of the key concepts, 3 battle-tested models, and 3 challenges with regression analysis By Jukan Tateisi from Unsplash Regression analysis is a technique that can be used to [10] …
Unstructured vs. Structured Data: The 5 Most Important Differences
Author(s): Anil Tilbe Originally published on Towards AI. A breakdown of structured data, and unstructured data, the advantages of each, and how to deploy them together simultaneously for your use cases By Dietmar Becker from Unsplash A basic definition of structured data: …
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 …
How To Call a Python Function With A String?
Author(s): Louis Chan Originally published on Towards AI. Methodcaller, Get Attribute, Namespaces, and more Photo by James Harrison on Unsplash Welcome to a series of short posts, each with handy Python tricks that can help you up your game. In this blog, …
Fake News Detection with Model Selection and Hyperparameter Optimization in Python (>97% acc.)
Author(s): Giovanni Valdata Originally published on Towards AI. A practical guide on fake news detection with model selection and hyperparameter optimization Photo by Nijwam Swargiary on Unsplash This article aims at describing the model selection and hyperparameter tuning process to perform fake-news …
Top Python Packages for Studying Reinforcement Learning
Author(s): Cornellius Yudha Wijaya Originally published on Towards AI. Learn the reinforcement learning hands-on with these packages Photo by Tinky Delta on Unsplash Reinforcement Learning is a machine learning study field with concerns about optimal decision-making. By learning from the environment, Reinforcement …
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