Very well summarized the importance of Excel. Great share Pauline 🙂 For more Excel resources, check out
SOFTWARE
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TensorFlow Lite for Microcontrollers: Deploy TinyML Models
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7. Deploying TinyML Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. https://
pll.harvard.edu/course/deployi
ng-tinyml?delta=0
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TinyML Applications: Keyword Spotting, Wake Words, Gesture Recognition
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6. Applications of TinyML You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition. https://
pll.harvard.edu/course/applica
tions-tinyml?delta=0
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Simple Web View with URL Hash for Pro Version Payment
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Yes exactly! I thought same, keep it as simple as possible. Web view with some payment thingy that puts a hash in the url to interiorai to let it show the pro version
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LangChain Ecosystem Integration with Major AI Players
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Ecosystem A new section as well, this highlights how LangChain integrates with other players in this space, including: @OpenAI @CohereAI @huggingface @weaviate_io @pinecone @AI21Labs @HazyResearch https://
langchain.readthedocs.io/en/latest/ecos
ystem.html
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Getting Started with LangChain for LLM Application Development
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Getting Started Covers all aspects of how to get started using LangChain to build an LLM application – including installation, environment setup, and a walkthrough of the main modules https://
langchain.readthedocs.io/en/latest/gett
ing_started/getting_started.html
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Abacus AI Simplifies ML Deployment with End-to-End Solutions
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The average machine learning engineer spends 98% of their time stitching services together. At @abacusai
, we take data from you, train a model, deploy it and give you an endpoint you can use immediately. Less complexity → More time to focus on what truly matters. -
Seaborn: Python Library for Statistical Data Visualization
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7. Seaborn Seaborn is a library for creating statistical graphics in Python. It is built on top of Matplotlib and provides a higher-level interface for creating visualizations, including support for more complex plots and advanced aesthetics. https://
seaborn.pydata.org -
Matplotlib: Python Data Visualization Library for AI
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6. Matplotlib: Matplotlib is a library for creating visualizations in Python. It provides a wide range of tools for creating plots, charts, and other visualizations of data. https://
matplotlib.org -
Keras: High-Level Neural Network Library Built on TensorFlow
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6. Keras Keras is a high-level library for building and training neural networks. It is built on top of TensorFlow and provides a simple and intuitive interface for defining and training models. It is well-suited for quick prototyping. https://
keras.io