5 Questions I Wish I Had the Answer to Before Interviewing for Data Science Positions
Author(s): ClΓ©ment Delteil Originally published on Towards AI. Why interviewing for Data Science positions is like riding a roller-coaster. Photo by James Butterly on Unsplash You spent hours polishing your cover letter to match the job post. You made your friends proofread …
Python Virtual Environments: The Why and How
Author(s): Muhammad Arham Originally published on Towards AI. This article describes the benefits of Python virtual environments and how they streamline the development processes. Further, we discuss the venv API provided for the usage of virtual environments. Image by Christina Morillo from …
Boost Your Fine-Tuning Performance with TPGM
Author(s): Denny Loevlie Originally published on Towards AI. Unveiling an Optimization Technique Without the Need for Extra Hyper-Parameters! Image generated by author Background At the recent CVPR 2023 conference in Vancouver, I had the privilege of exploring cutting-edge research in the field …
LLMs, Productization, Teaching AI, Getting into the Field, and moreβ¦
Author(s): Louis Bouchard Originally published on Towards AI. An Interview with Jay Alammar on The Whatβs AI Podcast Iβm excited to share an insightful interview that explores the captivating realm of machine learning and large language models (LLMs). In this 16th episode …
Paint, Pixels, and Plagiarism: The Rise of Generative AI and the Uncertain Future of Art
Author(s): Simba SHI Originally published on Towards AI. Pooping rainbows. This, according to Emad Mostaque β founder of Stable Diffusion and a leader in the AI art revolution β is the ultimate goal of artistic generative AI: to invigorate creativity among laypeople …
Tackling Imbalanced Data Using imbalanced-learn, Part 1: Under-Sampling
Author(s): Christian Kruschel Originally published on Towards AI. In the field of machine learning, working with imbalanced datasets can present a significant challenge. Imbalanced data occurs when the distribution of classes in the dataset is uneven, with one class being dominant compared …
Prophet: Evaluating Time Series Forecasting
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. Prophet Time Series Forecasting on a Hold-Out Dataset Image by Author with @MidJourney Time series Νanalysis is a crucial technique for understanding and predicting data points that are ordered chronologically. ΝIt finds applications …
Train and Deploy Custom Object Detection Models Without a Single Line Of Code.
Author(s): Peter van Lunteren Originally published on Towards AI. Images taken from the ENA24-detection dataset, licensed under the Community Data License Agreement (permissive, v1.0). Labels by author. Let AI process your imagery through an open-source graphical user interface. Table of contents Introduction …
Analyse Customer Reviews with Natural Language Processing.
Author(s): Flo Originally published on Towards AI. Using CountVectorizer, an implementation of bag-of-words Top highlight Image by Flo on OpenSea, UX Natural Language Processing In this article, we build our machine learning model to guess customer reviews tone based on historical data. …
10 Advanced Matplotlib Concepts You Must Know To Create Killer Visuals
Author(s): Bex T. Originally published on Towards AI. Become Leonardo da Matplotlib Image by me with Midjourney. All the rest of the images are by the author unless specified otherwise. Good things come to those who read the Matplotlib documentation. I made …
Heart Attack Prediction: Unveiling Insights through Predictive Modeling with Python
Author(s): Muttineni Sai Rohith Originally published on Towards AI. Picture this: a crystal ball that can predict heart attacks before they strike. Sounds like something out of a sci-fi movie, right? Well, thanks to the wonders of Machine Learning and the wizardry …
Textbooks are All You Need: Inside Microsoft Researchβs Amazing Phi-1 Code Language Model
Author(s): Jesus Rodriguez Originally published on Towards AI. The model is able to outperform competitors despite being substantially smaller. Top highlight Created Using Midjourney I recently started an AI-focused educational newsletter, that already has over 160,000 subscribers. TheSequence is a no-BS (meaning …
Benfordβs Law Meets Machine Learning for Detecting Fake Twitter Followers
Author(s): Erika Lacson Originally published on Towards AI. An illustration of Benfordβs Distribution, Photo by Author. In the expansive digital landscape of social media, user authenticity is a paramount concern. As platforms like Twitter grow, so does the proliferation of fake accounts. …
Ditch Boring, ClichΓ© Datasets! Use These 17 to Build a Truly Great Portfolio
Author(s): Bex T. Originally published on Towards AI. Unique datasets ranging from microbiology to sports Image by Midjourney You might have already developed a slightly sickened feeling when you saw people using the same datasets over and over and over again. Everyone …
Can Contrastive Learning Work? β SimCLR Paper Explained
Author(s): Boris Meinardus Originally published on Towards AI. A comprehensive summary of the SimCLR framework and its important findings. In my last blog post, we talked about the goal of representation learning, specifically using Self-Supervised Learning. We then came up with the …
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