Today, Python can be used to create native applications for mobile, web, and desktop environments 🐍📱 In @anaconda Inc next webinar, learn the basics for building & deploying Python anywhere using PyBeeWare

Register here! 👉bit.ly/3RBE2SU

If anyone is to join Whatapp group for quick updates

Kindly share below group to the people who are interested in AI -Datascience which run by me since so long ..

https://chat.whatsapp.com/ECDLgJ50bZx7cw9IJ4GoOS

Here are some useful extensions for VS Code when you are a Python Developer 🐍

▶️Python
▶️Python Indent
▶️AREPL for Python
▶️autoDocstring
▶️Kite AutoComplete
▶️TabOut
▶️CodeSnap
▶️advanced-new-file

Introducing PyTorchLive, an easy to use library of tools for creating on-device ML demos on Android and iOS. With Live, you can build a working mobile app ML demo in minutes. https://pytorch.org/blog/introducing-the-playtorch-app/?utm_source=twitter&utm_medium=organic_social&utm_campaign=blog&content=playtorchv0.2launch

Python performance tip:

Specialized functions with simpler signatures tend to beat their more generalized counterparts.

log2(x) and log10(x) are almost twice as fast as log(x) and three times as fast as log(x, 2) or log(x, 2.0)

⌛⌛When you understand Underscores in Python, You will be knowing following concepts as well.

◌Name Mangling
◌Private variables (there is no private variables )
◌Dunder or Special or Magic methods
◌Usage of _ (underscore) for variable

✅Single Underscore: _
✏Variable Name and Temp Variable
✅Single Leading Underscore: _x
✏ Naming Convention and internal use
✅Single Trailing Underscore: x_
✏Naming Convention to avoid name conflicts with python keywords like class , def etc
✅Double Leading Underscore: __x
✏Name Mangling when used in class context
✅Double Leading and Trailing Underscore: x
✏Special methods or Dunder methods or Magic methods


For video tutorial with examples you wish to explore and learn

https://youtu.be/M8-aCSeYzkc

✍️✍️How to Improve the fairness of AI systems?
👉Fairlearn is an open-source, community-driven project to help data scientists improve fairness of AI systems.

👉Installation:
pip install fairlearn
conda install -c conda-forge fairlearn

⭕⭕⭕Check more https://fairlearn.org/

27.07.2022
AI
✍️✍️ AI asked to show an image of the last selfie ever taken on Earth
✍️✍️ Researchers at Stanford have developed an Artificial Intelligence (AI) model, 'StockBot’, which uses LSTMs to predict stock prices with gains higher than the most aggressive ETFs
✍️✍️ AI robot went rogue at a Moscow chess tournament and broke a kid’s finger after he made a move prematurely.
✍️✍️ AI and teleophthalmology are comparable for diagnosing diabetic retinopathy
✍️✍️ Samsung Announces Global Launch of Bespoke AI™️ Washer and Dryer, Delivering Smart and Sustainable Solutions for Laundry Day
✍️✍️ Cambridge named UK’s most AI-ready city for fueling innovation.
✍️✍️ Meta AI’s research and advancements team recently developed a neural-network-based system, called SIDE, that is capable of scanning hundreds of thousands of Wikipedia citations at once and checking whether they truly support the corresponding contents.
✍️✍️Google Is Selling Advanced AI to Israel, Documents Reveal

Inscribed by,
Raja

How to print emoji in Python 🐍🔥

RStudio officials say they're not forsaking R but seeking to expand their model of open source. RStudio changes name to Posit, expands focus to include Python and VS Code. By chance, if anyone is working in Data science using the R language

✍️✍️ BlenderBot - A CONVERSATIONAL AI PROTOTYPE. Meta’s new AI chatbot can’t stop bashing Facebook. On the demo website, members of the public are invited to chat with the tool and share feedback with developers.
**** Sadly, this is available in the US region only.
✍️✍️ Gartner Says Worldwide RPA Software Spending to Reach $2.9 Billion in 2022.
✍️✍️ Europe is seeing a hiring boom in the railway industry and airport industry AI roles.
✍️✍️ Machine Learning is the most valued skill according to recruiters- Data Science Skills Survey 2022 by Great Learning.
✍️✍️ More than 100 million smart meters have been installed in the U.S. These devices record and communicate electric consumption, voltage and current to consumers and grid operators. To help make the most of this data, a Lawrence Livermore National Laboratory team has developed GridDS — an open-source, data-science toolkit for power and data engineers.
✍️✍️ A 4-year degree in Data Science is provided by IIT-Madras; JEE eligibility is not necessary
✍️✍️ Pecan is a first-of-its-kind data science platform for business teams and their SQL-skilled data analysts that automate the creation of highly accurate, ready-to-use predictive models focused on key customer journey KPIs without data scientists on staff.
✍️✍️ Machine learning reveals hidden components of X-ray pulses

List of NLP large language models :

♂ BLOOM : WORLD's LARGEST Open Multilingual Language Model
♂ GPT3 : Language Models Are Few-Shot Learners
♂ BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding
♂ RoBERTa : A Robustly Optimized BERT Pretraining Approach
♂ PaLM : Scaling Language Modeling with Pathways
♂ GPT2 : Language Models Are Unsupervised Multitask Learners
♂ XLNet : Generalized Autoregressive Pretraining for Language Understanding
♂ ALBERT : A Lite BERT for Self-supervised Learning of Language Representations
♂ ELECTRA : Pre-training Text Encoders as Discriminators Rather Than Generators
♂ DeBERTa : Decoding-enhanced BERT with Disentangled Attention
♂ T5 : Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer