Gnothi
What is Gnothi?
Gnothi is an AI-powered journal that provides users with valuable insights and resources.
How to use Gnothi?
To use Gnothi, simply create an account and start browsing articles. The AI algorithm will analyze your reading preferences and recommend personalized content for you.
Gnothi's Core Features
The core features of Gnothi include AI-driven recommendations, a vast collection of articles, bookmarking and organizing favorite articles, and the ability to follow specific topics or authors.
Gnothi's Use Cases
Stay updated with the latest research and discoveries
Gain insights from expert authors in various fields
Access a wide range of resources for self-improvement and learning
Discover niche topics and expand your knowledge
FAQ from Gnothi
How does Gnothi provide personalized recommendations?
Can I save and organize my favorite articles?
Can I follow specific topics or authors?
What kind of resources can I find on Gnothi?
Gnothi Discord
Here is the Gnothi Discord: https://discord.gg/Bhb8qYV7E6. For more Discord message, please click here(/discord/bhb8qyv7e6).
Gnothi Support Email & Customer service contact & Refund contact etc.
Here is the Gnothi support email for customer service: Gnothi@gnothiai.com .
Gnothi Company
Gnothi Company name: OCDevel, LLC .
Gnothi Login
Gnothi Login Link: https://gnothiai.com/
Gnothi Sign up
Gnothi Sign up Link: https://gnothiai.com/
Gnothi Github
Gnothi Github Link: https://github.com/lefnire/gnothi
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Social Listening
MLG 001 Introduction
Support this show by trying a walking desk (https://ocdevel.com/blog/20240109-fitness-desk) ! Show notes: ocdevel.com/mlg/1 (https://ocdevel.com/mlg/1) . MLG teaches the fundamentals of machine learning and artificial intelligence. It covers intuition, models, math, languages, frameworks, etc. Where your other ML resources provide the trees, I provide the forest. Consider MLG your syllabus, with highly-curated resources for each episode's details at ocdevel.com. Audio is a great supplement during exercise, commute, chores, etc. • MLG (https://ocdevel.com/mlg) , Resources Guide (https://ocdevel.com/mlg/resources) • Gnothi (podcast project): website (https://gnothiai.com/) , Github (https://github.com/lefnire/gnothi) What is this podcast? • "Middle" level overview (deeper than a bird's eye view of machine learning; higher than math equations) • No math/programming experience required Who is it for • Anyone curious about machine learning fundamentals • Aspiring machine learning developers Why audio? • Supplementary content for commute/exercise/chores will help solidify your book/course-work What it's not • News and Interviews: TWiML and AI, O'Reilly Data Show, Talking machines • Misc Topics: Linear Digressions, Data Skeptic, Learning machines 101 • iTunesU issues Planned episodes • What is AI/ML: definition, comparison, history • Inspiration: automation, singularity, consciousness • ML Intuition: learning basics (infer/error/train); supervised/unsupervised/reinforcement; applications • Math overview: linear algebra, statistics, calculus • Linear models: supervised (regression, classification); unsupervised • Parts: regularization, performance evaluation, dimensionality reduction, etc • Deep models: neural networks, recurrent neural networks (RNNs), convolutional neural networks (convnets/CNNs) • Languages and Frameworks: Python vs R vs Java vs C/C++ vs MATLAB, etc; TensorFlow vs Torch vs Theano vs Spark, etc
002 Habitica's Creator Recommended Usage
How to optimally use Habitica. 1. Understand dailies vs habits. Dailies have a daily quota which must be met; habits can happen or not any number of times per day. 2. Use an off-site todo app. I recommend Workflowy. Have a daily called "todo", time 30m of tackling the off-site todos. 3. USE CUSTOM REWARDS! That's the whole point of the program: pain for gain. 4. Respect the colors. Focus on the reds; relax on the greens & blues. Try to avoid perfect days. More details and class calculator: https://ocdevel.com/blog/20210108-how-to-use-habitica New project: http://gnothiai.com/