Free 505-page PDF textbook — “Foundations of Machine Learning” Download at the @MIT_CSAIL link below…
@kirkdborne
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Five Free Stanford Courses Introduce AI and Machine Learning
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HT @swapnakpanda 5 courses to learn AI and Machine Learning from scratch for FREE, via @Stanford …
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A Guide to AI Concepts From Machine Learning to Deep Learning
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Subscribe to http://
bytebytego.com for brilliant content delivered directly to your inbox, like this… Top 20 AI Concepts You Should Know: 1. Machine Learning: Core algorithms, statistics, and model training techniques. 2. Deep Learning: Hierarchical neural networks -
An Infographic Explains XGBoost’s Role in Structured Data Learning
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XGBoost infographic Source: https://
linkedin.com/posts/chiragsu
bramanian_xgboost-why-it-still-dominates-ml-on-structured-activity-7471546828518322176-XQQ5?utm_source=share&utm_medium=member_ios&rcm=ACoAAAN5amABNvxwNhChBWp6XqXktRsmEAUmhcg
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XGBoost for Regression, Predictive Modeling and Time-Series Analysis
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XGBoost for Regression, Predictive Modeling, and Time Series Analysis — Learn how to build, evaluate, & deploy predictive models: http://
amzn.to/4l2YcU9 v/ @PacktDataML -
XGBoost and Deep Learning Methods for Tabular Data
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Excellent book from @ManningBooks >> "Machine Learning for Tabular Data: XGBoost, Deep Learning, and AI," by @MarkRyanMkm & @lucamassaron Get it here: http://
amzn.to/41J8WA6 • Master XGBoost
• Apply deep learning to tabular data
• Deploy models locally and in the cloud
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Domain-Specific Small Language Models Target Efficient Local Deployment
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"Domain-Specific Small Language Models: Efficient AI for local deployment" Available at http://
amzn.to/4g7mVqW via @ManningBooks -
Machine Learning Methods for Time-Series Forecasting and Anomaly Detection
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Machine Learning for Time Series with Python — Forecast, predict, and detect anomalies with state-of-the-art ML methods: http://
amzn.to/3wrjXVv by @benji1a —————
#DataScience #AI #Forecasting #PredictiveAnaytics #AnomalyDetection #IoT #IIoT #EdgeAI #EdgeComputing -
Beginner’s Guide Builds and Fine-Tunes a Small Language Model
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"How to Build and Fine‐Tune a Small Language Model: A Step-by-Step Guide for Beginners, Researchers, and Non-Programmers" Available at http://
amzn.to/4aV0amA -
Graph Machine Learning Book Uses PyTorch Geometric and DGL
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2nd Edition at http://
amzn.to/45Y3LyI Graph Machine Learning — the latest advancements in graph data to build robust machine learning algorithms. 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Master new graph ML techniques through updated examples using PyTorch Geometric and Deep Graph Library