Chief Executive Officer at Nuroblox | Enterprise AI | Multi-Agent Systems | Multimodal and Generative AI technologies | Disruptive Innovation
Feature Engineering - Getting most out of data for predictive models (76 slides) - HJ VanVeen Other Great Articles: (downloadable) The Hitchhiker’s Guide to Feature Extraction (20 pages) Python https://lnkd.in/euzKJDH ? Step by Step Guide to Data Cleaning with Python (NumPy and Pandas) https://lnkd.in/eGdexzq ? Practical Introduction to Web Scraping in Python https://lnkd.in/g7uU_XG ? Build your first chatbot in Python using NLTK https://lnkd.in/fUu8Ufa ? A Step-by-Step Guide for Building a Tweet Classifier with Python https://lnkd.in/d4nMQXX ? Walkthrough Example Implement Text Classification with Python https://lnkd.in/eRWQHGe ? The Ultimate Guide To Speech Recognition with Python https://lnkd.in/ehdwVzg ? Walkthrough Face Detection with Python https://lnkd.in/e_QsRh2 ? Walkthrough Sentiment Analysis - Model for Predicting Review Sentiment in Python https://lnkd.in/eH9zTv5 ? Walkthrough how to use Deep Learning to solve a problem with Python https://lnkd.in/eBmbaJq ? Data Visualization in Python https://lnkd.in/enTYSHW #machinelearning #artificialintelligence #datascience #ml #ai #deeplearning #featureengineering #python #R To follow posts: https://lnkd.in/ev9S2hh
Thank you so much. Can anyone please suggest where I can get more such learning information about the public cloud (AWS/ Azure/ GCP)?
Very useful! Thanks!
Super cool summary...love it! thank you!
Excellent technique summary.? Even downloaded it for my team.? Curious how you explain all of this to the biz buys actually making decisions based on your models.? Look forward to a post/deck on that topic, which is increasingly stopping implementation in the field.? Nice work!
DevOps/DevSecOps , GitOps, Automation(Terraform & Ansible) , Performance Engineering (Dynatrace,Prometheus etc.), Chaos Engineering etc.
5 年@Komal Khullar