#GenerativeAI chats can be productive, learning experiences, entertaining, and occasionally useful. For example, I used the https://
amigochat.io Packing List Generator to generate a comprehensive packing list for me for a 2-year trip to Mars. ๐ Here's the list…
@kirkdborne
-
Generative AI Creates Packing List for 2-Year Mars Trip
By
–
-
ODSC AI Bootcamp: Master AI Tools and Techniques with 60% Discount
By
–
Looking to break into the world of AI? The #ODSC #AI Bootcamp is your gateway to mastering the tools, techniques, and concepts that will set you apart in this transformative field. Register NOW with 60% OFF: https://
bit.ly/4g2tQyE
โโ @_odsc #DataScience #ML #DataScientist -
Deep Reinforcement Learning Hands-On Guide Third Edition
By
–
Deep #ReinforcementLearning Hands-On โ A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF: http://
amzn.to/3MV9o60 [Third Edition] v/ @PacktPublishing โโโ
#AI #MachineLearning #DeepLearning #DataScience #DataScientist
โโโ
๐๐ฎ๐ ๐๐ฎ๐ช๐ฝ๐พ๐ป๐ฎ๐ผ: -
Artificial Intelligence Methods for Cybersecurity Solutions and Design
By
–
Artificial Intelligence for #Cybersecurity: https://
amzn.to/4gOK3rD v/ @PacktPublishing โโ
#AI #MachineLearning #DataScience #Infosec โโ ๐ฆ๐๐ ๐น๐๐ถ๐๐๐๐๐: Learn AI methods and see how they fit into cybersecurity Learn how to design solutions in cybersecurity that -
Convex Optimization: Best-Seller Guide to Numerical Solutions
By
–
Convex Optimization (#1 best-seller in Linear Programming): https://
amzn.to/40gXKZA A comprehensive introduction to the subject, this book shows in detail how such problems can be solved numerically with great efficiency. Solutions are applicable to many fields, such as -
Enterprise Machine Learning Systems: MLOps Requirements and Abacus AI Solutions
By
–
Building & Deploying Enterprise #MachineLearning Systems is hard. See the 30 requirements for an #MLOps environment. @AbacusAI handles all that for you. You bring the data and the use case. Abacus delivers the #ML environment: https://
abacus.ai/mlops #DataScience #AI #ML -
Mastering RAG: Vector Databases and Prompt Engineering for AI Professionals
By
–
This book is designed for AI researchers, data scientists, software developers, and business analysts looking to: Enhance data retrieval and AI accuracy using Retrieval-Augmented Generation (RAG). Master practical techniques like vector databases and prompt engineering.
-
Generative AI and RAG: Enhance LLMs with Internal Data Integration
By
–
Unlocking Data with #GenerativeAI and RAG โ Enhance Generative #AI systems by integrating internal data with large language models using RAG: https://
amzn.to/3PtFHdv v/ @PacktPublishing โโโโโ
#GenAI #LLMs #MachineLearning #KnowledgeGraph #DataScience #DataScientist #ad -
Abacus AI Deep Learning Anomaly Detection for Data Analysis
By
–
#AnomalyDetection by @AbacusAI uses leading-edge #DeepLearning models to spot anomalies in your data and to enable fast informed response: https://
abacus.ai/anomalydetecti
on
โฆ
โโโโโ
#AI #MachineLearning #ML #BigData #Analytics #DataQuality #DataScience #CDO #CMO #DataScientist #DataAnalyst -
English Ambiguity in AI Product Management Learning Description
By
–
Home page <
https://
sat-s-school.teachable.com> states: "Learning the basics of AI product management and core AI principles from cute cat and dog themed examples!" That's the wonderfully confusing double meaning of English phrases like this: "Learn from teachers" vs. "Learn from examples"