Thinking Fast and Slow: Statistical Variability with Python and GPT4
Author(s): John Loewen, PhD Originally published on Towards AI. A Python and GPT-4 guided tour to decoding data variabilityDall-E image β impressionist painting of a dashboard with maps and charts We tend to simplify things quickly, but we can also think slowly …
6 Proven Tips to Make Your ML Application Stand Out
Author(s): Boris Meinardus Originally published on Towards AI. For every level of Machine Learning student! The thought of how to stand out on your Machine Learning application can be scary if you donβt know what to work on or even what you …
The Endless Possibilities of Forecasting in Data Science
Author(s): Alexandre Warembourg Originally published on Towards AI. Discover the numerous methods available for forecasting in data science through practical examples When I first started my journey in data science, my initial task was on forecasting. At the same time, I had …
Top Important LLM Papers for the Week from 04/12 to 10/12
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the …
AI Renaissance: Fueling Job Growth in the Digital Age
Author(s): Jacob Ingle Originally published on Towards AI. Why I believe AI will create more jobs than it destroys and how I use it in my daily lifePhoto by Possessed Photography on Unsplash The development of full artificial intelligence could spell the …
Introduction to Nixtla for Demand Forecasting.
Author(s): Alexandre Warembourg Originally published on Towards AI. Through the M5 Demand Forecasting Competition, learn how to use the Nixtla forecasting package. Accurate forecasting plays a critical role in making informed decisions and staying ahead of the competition in todayβs rapidly changing …
The Curse Of Dimensionality in KNN Classifiers
Author(s): Tim Cvetko Originally published on Towards AI. Exploring the troublesome effect of βhigh-dimensionalityβ in clustering algorithmsSource: https://scipy-lectures.org/packages/scikit-learn/auto_examples/plot_iris_knn.html In this article, weβll be exploring the effect of curse dimensionality in the KNN algorithm, starting out with a brief overview of how the …
Top Important Computer Vision Papers for the Week from 04/12 to 10/12
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Computer Vision Research Every week, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision model optimization, …
Make Any* LLM fit Any GPU in 10 Lines of Code
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. An ingenious way of running models larger than the VRAM of the GPU. It may be slow but it freaking works! Who has enough money to spend on a GPU with …
Mistral AI: (8x7b) Releases First Ever Opensource Model Of Experts (MoE) Model
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Mistral continues their commitment to the Open Source World by releasing the first 56 billion token model (8 models, 7 billion tokens each) via a Torrent !! A few days ago, …
Why OpenHermes-2.5 Is So Much Better Than GPT-4 And LLama2 13B β Here The Result
Author(s): Gao Dalie (ι«ιη) Originally published on Towards AI. the AI news in the past 7 days has been insane, with so much happening in the world of AI So, In this Article, weβre diving into some of the latest AI developments …
Programming a Neural Network Tutorial: Vintage Style
Author(s): Adam Ross Nelson Originally published on Towards AI. Underlying math of neural networks by studying our predecessorβs ways One of the first to describe neural networks was neurophysiologis Warren McCulloch and mathematician Walter Pitts, as a model for biological brains. In …
Exploratory Data Analysis (EDA) on Text Data with Python
Author(s): Davide Nardini Originally published on Towards AI. Exploratory Data Analysis (EDA) is the first step of a Machine Learning Project on Text Data with Python code and snippets.Image from Unplash Exploratory Data Analysis (EDA) represents the initial step in a Machine …
Sketching the Future of Tabular Data Exploration And Research
Author(s): Kirill Lepchenkov Originally published on Towards AI. For those doing exploratory data analysis on tabular data: there is Sketch, a code-writing assistant that seamlessly integrates bits of your dataframes into promptsIβve made this map using Sketch, Jupyter, Geopandas, and Keplergl For …
How to Fine-tune EasyOCR to achieve better OCR performance
Author(s): Eivind Kjosbakken Originally published on Towards AI. OCR is a valuable tool when you want to extract text from images. Sometimes, however, the OCR you are using is not working as well as you want it to for your specific needs. …
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