Essential tools: Hugo PaperMod theme Visual Studio Code Obsidian DigitalOcean App Platform AI is used as an assistant. Iām doing the writing, but with help (usually in the form of proof reading or helping with structure). I bounce around between a variety of tools. Claude - Often integrated with other tools like vscode, Obsidian, AnythingLLM. AnythingLLM Ollama Open WebUI ChatGPT - Largely Claude is replacing this. But I still use it some.
Introduction Iām writing this just before hopping on a long trans-atlantic flight. Iām not betting on the in-flight WiFi being very good, so Iām taking the time to get a local AI assistant running on my laptop. I think many travelers will be interested in setting something like this up, so Iād like to take the time to document a lot of how Iām doing thisā¦ and hopefully make it easier for others to get it going. ...
About the Bundle This bundle includes the following books: Machine Learning Engineering with Python by Andrew P. McMahon # Building LLM Powered Applications by Valentina Alto XGBoost for Regression Predictive Modeling and Time Series Analysis by Partha Pritam Deka, Joyce Weiner Mastering NLP from Foundations to LLMs by Gazit, Meysam Ghaffari Mastering PyTorch by Ashish Ranjan Jha Python Feature Engineering Cookbook by Soledad Galli Hands-On Genetic Algorithms with Python by Eyal Wirsansky The Machine Learning Solutions Architect Handbook by David Ping Causal Inference and Discovery in Python by Aleksander Molak TinyML Cookbook by Gian Marco Iodice RAG-Driven Generative AI by Denis Rothman 15 Math Concepts Every Data Scientist Should Know by David Hoyle Machine Learning with PyTorch and Scikit-Learn by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili Machine Learning with R by Brett Lantz Bayesian Analysis with Python by Martin Causal Inference in R by Subhajit Das Artificial Intelligence for Cybersecurity by Bojan Kolosnjaji, Huang Xiao, Peng Xu, Apostolis Zarras Modern Time Series Forecasting with Python by Manu Joseph, Jeffrey Tackes Python Machine Learning By Example by Yuxi (Hayden) Liu LLM Engineerās Handbook by Paul Iusztin, Maxime Labonne Deep Reinforcement Learning Hands-On by Maxim Lapan
About the Bundle This bundle includes the following books: Explainable AI Recipes by Pradeepta Mishra Machine Learning for Decision Makers by Patanjali Kashyap ChatGPT for Java by Bruce Hopkins AI Chatbots by James Crowder Normalization Techniques in Deep Learning by Lei Huang Creative Prototyping with Generative AI by Patrick Parra Pennefather Interfaceless: Conscious Design for Spatial Computing with Generative AI by Diana Olynick Artificial Intelligence in Vision-Based Structural Health Monitoring by Khalid M. Mosalam, Yuqing Gao Applied Generative AI for Beginners by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, Dilip Gudivada Empowering the Public Sector with Generative AI by Sanjeev Pulapaka, Srinath Godavarthi, Sherry Ding Understanding Generative AI Business Applications by Irena Cronin The Early-Career Professionalās Guide to Generative AI by Jonas Bjerg Large Language Models Projects by Pere Martra Introduction to Responsible AI by Avinash Manure, Shaleen Bengani, Saravanan S Building Generative AI-Powered Apps by Aarushi Kansal Generative AI by Tom Taulli AI and the Law by Harry Borovick Generative Artificial Intelligence by Shivam R Solanki, Drupad K Khublani Exploring the Power of ChatGPT by Eric Sarrion Artificial Intelligence and Human Evolution by Ameet Joshi Predicting the Unknown by Stylianos Kampakis Transforming Conversational AI by Michael McTear, Marina Ashurkina Brain Rush by Peter Cohan ChatGPT for Beginners by Eric Sarrion