Apple M1 and M2 Performance for Training SSL Models
Author(s): Igor Susmelj Originally published on Towards AI. We want to know how fast Apple M1 and M2 chips are for training self-supervised learning models. The number of benchmarks for training ML models using the new Apple chips is still low. Furthermore, …
Cleaning + Preparing Minnesota Lakes Data
Author(s): Adam Ross Nelson Originally published on Towards AI. How to tidy up Wikipedia’s list of Minnesota’s lakes While driving the other day I saw a pretty view of the lake in my hometown. It is known as Lake Menomin. I took …
Introduction to Machine Learning: Exploring Its Many Forms
Author(s): RaviTeja G Originally published on Towards AI. Image Generated by ideogram.ai These days, Machine Learning is everywhere, right? If you are here, You might have gotten curious as to what exactly machine learning is! So, Let me explain it in simple …
Inventory Optimization with Data Science: Hands-On Tutorial with Python
Author(s): Peyman Kor Originally published on Towards AI. Intro Effective inventory management is important for businesses across various industries. In the previous blog, we explored how to model the process and how to frame it with the Markov Process. The below illustration …
Exploring Julia Programming Language: Integration Test
Author(s): Jose D. Hernandez-Betancur Originally published on Towards AI. Validating software components as a system in JuliaImage by Author. Hello everyone U+1F44B, and welcome back to our series on using the computer language Julia to build machine learning and data science projects …
3 Game-Changing Techniques to Harness Unlabelled Data in Machine Learning
Author(s): Sai Viswanth Originally published on Towards AI. Annotation can be very very expensivePhoto by Pietro Jeng on Unsplash Are you embarking on the journey to becoming a Machine Learning Engineer or simply a passionate learner eager to extract insights from the …
Top Important LLM Papers for the Week from 2/10 to 8/10
Author(s): Youssef Hosni Originally published on Towards AI. Stay Relevant to Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, it’s important for researchers and engineers to stay informed …
The Good, The Bad, and the Ugly of pd.read_html
Author(s): Adam Ross Nelson Originally published on Towards AI. This is for the uninitiated pd.read_html fanbase Saddle up. U+1F434 It is time for another Good, Bad, + Ugly look at Data Science. Not already a fan of pd.read_html() or the cousin pd.to_html() …
Diverse Bar Chart Analysis with GPT-4’s Advanced Data Analysis Tool
Author(s): John Loewen, PhD Originally published on Towards AI. Adding to your data science productivity toolboxDall-E image: impressionist painting in oil colors of a data visualization bar chart GPT-4’s Advanced Data Analysis tool (ADA) is an essential tool to add to your …
Top Important Computer Vision Papers for the Week from 2/10 to 8/10
Author(s): Youssef Hosni Originally published on Towards AI. Stay Relevant to Recent Computer Vision Research On a weekly basis, several top-tier academic conferences and journals showcased innovative research in computer vision, presenting exciting breakthroughs in various subfields such as image recognition, vision …
How On Earth Can We Evaluate the Generated Images By GANs?
Author(s): Youssef Hosni Originally published on Towards AI. Overview of GANs Models Evaluation Metrics GANs consist of two main networks generator and discriminator networks. A GAN generator model is trained using a second model called a discriminator that learns to classify images …
A Complete Exploratory Data Analysis in Python
Author(s): Rashida Nasrin Sucky Originally published on Towards AI. Data Cleaning, Analysis, Visualization, Feature Selection, Predictive ModelingPhoto by NEOM on Unsplash I have a few tutorials on Exploratory Data Analysis before. But I feel I should do some more of that. Taking …
Can AI Turn Into a Real-Life Terminator?
Author(s): Harshmeet Singh Chandhok Originally published on Towards AI. Source: Image By Sketchepedia on Freepik “We need to be careful about how we develop and use AI. We need to make sure that it is used for good and not for evil. …
Mastering Deep Learning: The Art of Approximating Non-Linearities with Piecewise Estimations Part-1
Author(s): Raagulbharatwaj K Originally published on Towards AI. In the past year, we’ve witnessed an explosive surge in the popularity of Deep Learning. Large Language Models like GPT-4 and Generative models like DALL·E are dominating conversations across the internet. The enthusiasm surrounding …
In-depth Understanding to Optimize the Performance of Artificial Neural Network
Author(s): Amit Chauhan Originally published on Towards AI. Hyper-parameters tuning for deep learning techniquesAn image by the Author Introduction Neural networks are structures that depend on the different input parameters to make decisions or predictions. Generally, it tries to mimic the operational …
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