Gnothi
5
0 评价
4 收藏
Website
AI工具导航 工具信息
评价
分析
嵌入
替代品
Gnothi 工具信息
什么是Gnothi？
Gnothi是一款由人工智能驱动的期刊，为用户提供有价值的见解和资源。
如何使用 Gnothi？
要使用Gnothi，只需创建一个账户并开始浏览文章。人工智能算法会分析您的阅读偏好并为您推荐个性化的内容。
Gnothi 的核心功能
Gnothi的核心功能包括基于人工智能的推荐、丰富的文章集合、收藏和整理喜爱的文章，以及关注特定主题或作者的能力。
Gnothi 的使用案例
#1
及时了解最新的研究和发现
#2
从各个领域的专家作者那里获得见解
#3
访问各种自我提升和学习资源
#4
发现利基话题并扩展知识
来自 Gnothi 的常见问题
Gnothi如何提供个性化推荐？
我可以保存和整理我喜欢的文章吗？
我可以关注特定的主题或作者吗？
我可以在Gnothi上找到什么样的资源？
Gnothi Discord
这个是 Gnothi Discord的链接: https://discord.gg/Bhb8qYV7E6. 更多 Discord 信息, 请点击 discord链接(/zh/discord/bhb8qyv7e6).
Gnothi 支持邮箱 & 客户服务联系 & 退款联系等
以下是 Gnothi 支持邮箱含客户服务: Gnothi@gnothiai.com .
Gnothi 公司信息
Gnothi 公司名字: OCDevel, LLC .
Gnothi 登录
Gnothi 登录链接: https://gnothiai.com/
Gnothi 注册
Gnothi 注册链接: https://gnothiai.com/
Gnothi Github
Gnothi Github链接: https://github.com/lefnire/gnothi
Gnothi 评价 (0)
5 满分 5 分
Gnothi数据分析
Gnothi 网站流量分析
地理位置
Top 1 国家/地区
100.00%
Mar 2023 - Feb 2025 仅桌面设备
Gnothi Discord 用户数分析
最新用户数
85 (-1)
Gnothi 启动嵌入功能
使用网站徽章推动社区对 Toolify 启动的支持。它们很容易嵌入到您的主页或页脚。
Light
Neutral
Dark
复制嵌入代码
如何安装？
社交媒体聆听
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/