Scale Up Bulk Similarity Calculations for Sparse Embeddings
Author(s): Rodrigo Agundez Originally published on Towards AI. ChunkDot support for sparse matrices Photo by nabil boukala on Unsplash In my previous blog post, I introduced ChunkDot, a library that performs multi-threaded matrix multiplication and cosine similarity. ChunkDot is appropriate for calculating …
Here Are The Most Useful Built-in Python Functions For Data Science
Author(s): James Asher Originally published on Towards AI. All Functions are equal, but for data science, some are more equal than others Photo by David Clode on Unsplash With each version of Python, they introduce more built-in functions. A few you will …
How to Create a Simple and Practical API with Python and Flask
Author(s): James Asher Originally published on Towards AI. Photo by Alireza Shojaei on Unsplash Flask is my favourite Python web framework by far. It’s often described as a micro-framework for its bare-bones style — a style I really appreciate. It’s scalable and …
Introduction to GANs with TensorFlow
Author(s): Rokas Liuberskis Originally published on Towards AI. In this tutorial, we’ll cover the basics of GANs (Generative Adversarial Networks) step-by-step in TensorFlow. As an example, we’ll use a basic MNIST dataset Hello everyone! I’ll introduce you to Generative Adversarial Networks in …
Signing off,
Author(s): Hitesh Hinduja Originally published on Towards AI. Comparative Analysis of Popular Statistical Tests: Which One to Use When? Let me begin by sharing my experience in detail. During my early years in the corporate world, my mentor imparted a piece of …
Amazon Bedrock: Generative AI on AWS
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Generative AI is a subfield of artificial intelligence that focuses on generating new data, such as images, text, or audio, that is similar to existing data. The intuition behind generative AI …
The Carpentries: Diversifying Data + Tech
Author(s): Adam Ross Nelson Originally published on Towards AI. Representation matters in all things and in data science, for sure By: Erin Becker, The Carpentries Associate Director + Adam Ross Nelson Data Scientist, in Collaboration. The Carpentries are a not-for-profit, fiscally sponsored …
Are Your Human Labels of Good Quality?
Author(s): Deepanjan Kundu Originally published on Towards AI. Measuring and improving the quality of human labels for ML tasks. What are labels? In machine learning, a label is a categorical or numerical value assigned to a data point that serves as the …
An Overview of Extreme Multilabel Classification (XML/XMLC)
Author(s): Kevin Berlemont, PhD Originally published on Towards AI. Photo by Artem Maltsev on Unsplash Who hasn’t been on Stack Overflow to find the answer to a question? Correctly predicting the tags of the questions is a very challenging problem as it …
NumPy Cheat Sheet: Functions for Numerical Analysis
Author(s): Gencay I. Originally published on Towards AI. Image by Author Do something extraordinary for your self today and learn data manipulation in Python using NumPy! No doubt about it, NumPy is a fundamental library for data science and machine learning in …
Truveta LLM: FirstLarge Language Model for Electronic Health Records
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. In the last few years, if you google healthcare or clinical NLP, you would see that the search results are blanketed by a few names like John Snow Labs (JSL), Linguamatics …
In-Depth Understanding of QR Code with Python Example
Author(s): Amit Chauhan Originally published on Towards AI. Two-dimensional matrix code use in data science and machine learning applications Image Source What is a QR code? It is a quick-response optical label that is associated with the items i.e. payment code, website …
History of AI: The Birth of Artificial Intelligence (1952–1956)
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. The field of artificial intelligence (AI) has come a long way since its inception, and the period between 1952 and 1956 can be considered the birth of AI as an academic …
50 Artificial Intelligence Terms in 10 Minutes
Author(s): Gencay I. Originally published on Towards AI. 50 Must-Know AI Terms for Data Science and Machine Learning Enthusiasts: Guide to Understanding Deep Learning, Neural Networks, and More. Artificial intelligence (AI) has become an integral part of our daily lives, from the …
History of AI: Maturation of Artificial Intelligence (1943-1952)
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Artificial Intelligence has rapidly become one of the most important fields of science, with applications ranging from image recognition and natural language processing to self-driving cars and robotics. However, its evolution …
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