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Jorge Torres
@JorgeTorresAI
CEO . & Alum. Visiting Research Scholar ¿Prefieres los tweets en español? Sígueme en
Jorge Torres’s Tweets
Recently made a tutorial using on the topic “Product reviews sentiment analysis”.
Do give a read and show your love👏
P.S.: Another article is cooking up🏃♂️
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A Bigram Poem inspired by MindsDB:
Build ML
ML powered
powered applications
applications fast
fast with
with #opensource
#opensource in-database
- MindsDB
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I just published Hate speech detection using Mindsdb & Hugging face
Used and hugging face Integration to the fullest 🫡💯
This NLP integration is going places 💚🚀 It is simple and amazing 🤩
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Hello, folks finally completed the Mindsdb blog💚
is an open-source AI community that leverages the power of explainable AI to the databases and implements AutoML-Ops at the data layer.
This one is special do read it💯💫
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Today we are announcing the public preview of #NLP inside databases with - integration!
youtube.com/watch?v=oxPOh5
#AI #ML #MachineLearning #Datascience
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The success of your #MachineLearning predictions all depends on your #data and models.
With #MariaDB #SkySQL and , you can get to your #ML faster and increase your performance!
Find out how. 👇
bit.ly/3bFMNLK
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Extended Family 👩👩👧👦
We partnered with top open-source companies. 🤗
Thanks to: , , , , and .
More exciting things are yet to come.
We are always happy about new collaborations.
Looking at you! 🔥
6/11
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. is AutoML for your database (supports dozens of open and closed systems).
240+ open source contributors, 11.5K+ stars.
Honored to be an early investor via .
github.com/mindsdb/mindsdb
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GitHub Trending Archive, 28 Nov 2022, Python. TomSchimansky/CustomTkinter, Stability-AI/stablediffusion, MrMimic/data-scientist-roadmap, mikf/gallery-dl, moyix/fauxpilot, coqui-ai/TTS, MatrixTM/MHDDoS, mindsdb/mindsdb, Rapptz/discord.py github.motakasoft.com/trending/?d=20
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Without further ado - very excited to present the 2022 Rising Stars of OSS!
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, , , , , , ,
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🎙️ Discover the challenges businesses face when deploying #MachineLearning and how to overcome them in this #IoTChat podcast with : fal.cn/3tEjA
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MindsDB is now the leading and fastest growing applied ML platform in the world - TechNode Global bit.ly/3haZBw3 #ai #ml #dl
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What a nice overview of various attempts to democratize ML, from AutoML to Declarative ML, including how they work and why they might be good – but not quite good enough alone!
datasciencecentral.com/declarative-ma
#declarativeml #automl #AI #ML #machinelearning #mindsdb
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#MindsDB Platform Now Features Over 70 Integrations buff.ly/3TppDZQ #DataBase #Cloud #NoSQL #SQL #DataScience #machinelearning #Deeplearning #ArtificialIntelligence #Bigdata #Cassandra #kafka #Hadoop #spark #Serverless #Kubernetes #R #Python #DataMining
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#TechStuff: MindsDB Platform Now Features Over 70 Integrations - Datanami
#datalake #deltalake #databricks
Read More Here:
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I have been contributing in MindsDB Hacktoberfest 2022.👇
- It is a free , open-source, ML-enabled database that allows users to use SQL queries to apply ML techniques.
- I have contributed while working with documentations, , bugs and writing articles.
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I have been writing a lot about lately. So, I thought why not make a video about it. So, here's my first video explaining WHAT IS MINDSDB? Hope you folks will have a great watch. Drop some Likes 👍 too.
#MachineLearning #OpenSource #Databases
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MindsDB embeds AI and machine learning into databases to assist groups working with day-to-day data to determine patterns, predict trends, and train models.
Let's explore how it works!
#DEVCommunity
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Hacktoberfest is a month-long celebration of open source
During this month open source maintainers help everyone to contribute
Looking for projects to work on? Check these
Do you know any other projects that take part?
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13 open source projects - influences AIML initiatives
1. TensorFlow and PyTorch
2. Faux Pilot
3. DALL - E
4. YOLOv7
5. DeepFaceLab
6. PaddleNLP
7. MindsDB
8. Image Super Resolution (ISR)
9. DeepPavlov
10. Blender
11. OpenCV
12. RoboCode
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What if we could train a model inside a database?
Come on our workshop to see how!
In this workshop, you'll see how to use to
🔸 Build models with SQL and AutoML
🔸 Get predictions using SQL queries
🔸 Deploy your models with MLFlow and Ray
👉 eventbrite.com/e/effective-ma
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Hi! Model building and serving is exposed through “AI Tables”, which mimic a normal DB table. However, to build and use these models we communicate w/ the DB using e.g. MySQL wire protocol to send and fetch data. ML models are built with a Python stack (numpy, pandas, torch, etc)
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Do you use Tableau? want to bring it to the next level? checkout this tutorial by
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How To Maintain ML-Analytics Cycle With Headless BI? by Jan Kadlec
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Can’t be better described!
Quote Tweet
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Super interesting!!!!
Quote Tweet
"In this article, I want to share with you this modern approach using the integration of @MindsDB with a modern BI tool supporting the metric layer and a headless BI layer — @GoodData."
How To Maintain ML-Analytics Cycle With Headless BI? by @kadlej98 link.medium.com/81EiECjdHsb
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