How to Efficiently Structure Your Data Processing Code
Author(s): Byron Dolon Originally published on Towards AI. An end-to-end example of pre-processing data using method chaining with the pipe method in Pandas Used with permission from my talented sister ohmintyartz While a lot of attention is spent on making the machine-learning …
5 Commonly Used Python Datasets
Author(s): Yeung WONG Originally published on Towards AI. There are some handy datasets ready to be analysed and can be easily obtained from Python scikit-learn package This member-only story is on us. Upgrade to access all of Medium. Scikit-learn (sklearn) provides several …
5 Commonly Used Python Datasets
Author(s): Yeung WONG Originally published on Towards AI. There are some handy datasets ready to be analysed and can be easily obtained from Python scikit-learn package Scikit-learn (sklearn) provides several datasets that are useful for practicing machine learning techniques. These datasets can …
How To Build Chatbots With Advanced Conditional Statement Understanding
Author(s): ___ Originally published on Towards AI. The LLM and Prompt Engineering Approach This article is a follow-up to my previous piece, “How To Build A Chatbot That Understands Conditional Statements: The Computational Linguistics Approach”, where we learned how to walk a …
Stop Enrolling in Boring Courses! Teach Yourself Sci-Kit Learn With ChatGPT!
Author(s): Gencay I. Originally published on Towards AI. Discover an Engaging Way to Learn Sci-kit Learn: Master Machine Learning and Algorithms with the Power of ChatGPT Stop enrolling in boring courses! Teach yourself Sci-kit learn with ChatGPT!- Image by Author Now we …
Real-Time Sentiment Analysis with Docker, Kafka, and Spark Streaming
Author(s): Clément Delteil Originally published on Towards AI. A Step-By-Step Guide to Deploying a Pre-trained Model in an ETL Process Photo by Vladimir Kramer on Unsplash In one of my previous articles, I compared different classification algorithms and feature extraction functions implemented …
The New Perfusion Model by NVIDIA Explained
Author(s): Louis Bouchard Originally published on Towards AI. Perfusion: Stable Diffusion but more Controllable! Originally published on louisbouchard.ai, read it 2 days before on my blog! Image from Perfusion’s project page. If DALLE or MidJourney doesn’t ring any bell, then I don’t …
The Ultimate Guide to Linear Programming for Big Data Optimization
Author(s): Rahulraj Singh Originally published on Towards AI. Merging statistics, linear algebra, and data science for optimal decision making Photo by Constantin on Unsplash Imagine working for an oil company in the Middle East. A large part of the region’s economy is …
The Art of Prompting: How Accurate Prompts Can Drive Positive Outcomes.
Author(s): Rohini Vaidya Originally published on Towards AI. Takeaways from the newly available free course offered by DeepLearning.AI and OpenAI regarding Prompt engineering for developers. Image Prompt engineering involves designing effective prompts for natural language generation models, such as GPT3, to produce …
Questions on The Governance of AI.
Author(s): Karl Mochel Originally published on Towards AI. Jaron Lanier’s “There is no AI” New Yorker article starts the conversation. Start learning about the broader philosophical issues so you can have a voice in how they get resolved. This member-only story is …
Questions on The Governance of AI.
Author(s): Karl Mochel Originally published on Towards AI. Jaron Lanier’s “There is no AI” New Yorker article starts the conversation. Start learning about the broader philosophical issues so you can have a voice in how they get resolved. A whimsical image of …
Generative AI: A New Era of Algorithmic Creativity
Author(s): Patrick Meyer Originally published on Towards AI. If you haven’t heard about ChatGPT, MidJourney, or Stable Diffusion in the last few months, it’s because you were away in a monastery or in a country without the Internet. Let’s find out what’s …
Deep Learning from Scratch in Modern C++: Convolutions
Author(s): Luiz doleron Originally published on Towards AI. Let’s have fun by implementing 2D Convolution in C++. In the previous story, we covered some of the most relevant coding aspects of machine learning such as functional programming, vectorization, and linear algebra programming. …
Deep Learning from Scratch in Modern C++
Author(s): Luiz doleron Originally published on Towards AI. Let’s have fun by implementing Deep Learning models in C++. It is needless to say how relevant machine learning frameworks are for research and industry. Due to their extensibility and flexibility, it is rare …
AI’s Mind-Reading Revolution: How GPT LLMs Decode Thoughts and What It Means for Our Future
Author(s): Cezary Gesikowski Originally published on Towards AI. The incredible potential and privacy concerns of a groundbreaking study using AI to unlock human thoughts image by author via PlaygroundAI In recent years, the development of Generative Pre-trained Transformer (GPT) Large Language Models …
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