5 Papers You Can't-Miss: Reinforcement Learning
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Image by Author with @MidJourney Reinforcement Learning (RL) is an important subfield in the area of machine learning that deals with …
If You Want to Learn Statistics, Without Boring, Read This
Author(s): Gencay I. Originally published on Towards AI. Simplifying Statistics for Data Science, and Machine Learning with Python: An Engaging Guide for the Curious Mind Image by Author- Created in Canvas Do you find yourself overwhelmed by the complexities of Statistics as …
Must-Know Statistics Questions for Data Science Interviews
Author(s): Roli Trivedi Originally published on Towards AI. Photo by Marjhon Obsioma on Unsplash What is Inferential Statistics?Inferential Statistics make predictions and inferences about the population based on the sample of data taken from the population. There are two main use cases …
Text Analytics with ChatGPT
Author(s): Manfye Goh Originally published on Towards AI. Is the traditional NLP technique still relevant? Photo by Bermix Studio on Unsplash Text analytics, or text mining, has emerged as an essential technique for extracting valuable insights from vast amounts of unstructured textual …
Genetic Algorithms and the Knapsack Problem: A Beginners’ Guide
Author(s): Egor Howell Originally published on Towards AI. Get hands-on experience with genetic algorithms and learn how to solve the knapsack problem step by step Photo by Vinicius Benedit on Unsplash In one of my previous articles, we introduced and discussed the …
Deploying a Langchain Large Language Model (LLM) with Streamlit & Pinecone
Author(s): Mostafa Ibrahim Originally published on Towards AI. Deploying a full-stack Large Language model application using Streamlit, Pinecone (vector DB) & Langchain Photo by David Pupăză on Unsplash LangChain is a library that helps developers build applications powered by large language models …
AI Race Heating Up: Google Announces PALM-2
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Mother of 100 languages, a Unified Language Model Ladies and gentlemen, the future is here! Google is about to drop some serious AI knowledge bombs at its annual developer conference. And …
This AI newsletter is all you need #46
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week we were interested to see some of the latest advancements in NLP and LLMs being applied to biology and medicine. OpenAI was …
How To Get Started With Computer Vision In 2023?
Author(s): Hasib Zunair Originally published on Towards AI. A zero to a non-zero roadmap to becoming a computer vision engineer or researcher in 2023. Know what to learn and how to apply the learned skills in real-world projects to get into industry …
ChatGPT Breached
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Tables turned around. I thought ChatGPT would be the vector for more malicious phishing attacks — I forgot they could be the target too Ladies and gentlemen, gather around because I’ve …
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 …
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 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 …
Most Data Annotation Bpos Are Missing the Point Amid the GPT LLMS Wave
Author(s): Puneet Jindal Originally published on Towards AI. The humans-in-the-loop annotation will be reduced to a minimal review effort guided by AI! There is a lot of hype around What AI can do. Amidst the hype, there is a real incremental outcome …
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