532-page #Python #coding book >> "Pandas Cookbook: Recipes for Scientific Computing, #TimeSeries Analysis, and Data Visualization" at http://
amzn.to/3KOQP1v
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#DataScience #DataScientist #DataViz #AI #ML #MachineLearning #ComputationalScience #Simulation
CODE
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Pandas Cookbook: 532-Page Python Guide for Data Science
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Python Finance Cookbook: 80+ Recipes for Financial Data Analysis
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#Python for #Finance Cookbook with 80+ powerful recipes for financial data analysis: http://
amzn.to/3PZlhcO v/ @PacktPublishing —————
#Coding #DataScience #DataScientist #DataLiteracy #MachineLearning #TimeSeries #PredictiveAnalytics #Forecasting #Fintech #CFO #CDO #CMO #CEO -
Machine Learning for Time Series Forecasting and Anomaly Detection
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#MachineLearning for #TimeSeries with #Python — Forecast trends, Predict the future, Detect anomalies with state-of-the-art #ML methods (2nd Ed.) http://
amzn.to/3xf5ZdI by @benji1a ———
#DataScience #AI #Forecasting #PredictiveAnaytics #AnomalyDetection #IoT #IIoT #DataScientist -
Machine Learning for Streaming Data with Python Online Solutions
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#MachineLearning for Streaming Data with #Python — build practical online Machine Learning solutions: http://
amzn.to/3OO9bjv
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#DataScience #AI #StreamAnalytics #EdgeComputing #Edge #EdgeAI #TimeSeries #IoT #IIoT #DataScientists #AnomalyDetection -
Forecasting Principles and Practice Third Edition by Hyndman
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"#Forecasting: Principles and Practice" (3rd edition) by Rob J Hyndman Read the complete book online here: http://
otexts.com/fpp3/
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Get a print copy here: http://
amzn.to/3Khvr5K
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#DataScience #PredictiveModeling #TimeSeries #PredictiveAnalytics #MachineLearning #RStats -
Claude and Notebook LM projects in notes app workflow
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tbh just the notes app and a bunch of Claude / Notebook LM projects
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PyTorch Core Team Recruitment Opportunity
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cool work! if you end up wanting to work on PyTorch, DM me; would love for you to join the core team.
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ChatLLM Documentation and Tutorial Resources Available
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Please see docs and turorials – https://
abacus.ai/help/howTo/cha
tllm
… Searching for ChatLLM on YouTube also have several videos -
Improving Developer Experience for Stream and Edge Nodes
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Okay yeah we want to make this better What is the ideal devx? We do stream nodes but you want the edge (what does that mean)? Why do you want upcoming nodes (and what does that mean?)