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Bibliography, Courses, Tutorials, Code, examples and related material. 🔅Data Science 🔅Artificial Intelligence 🔅Neural Networks 🔅Machine Learning (ML) 🔅Deep Learning (DL) ———————————————- Bibliografía, Cursos, Tutoriales, Código, ejemplos y material
Ultimate MLOps for Machine Learning Models (2024)
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MLOps Engineering at Scale (2022)
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Engineering MLOps (2021)
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Machine Learning Design Patterns (2020)
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Causal Inference and Discovery in Python (2023)
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Generative AI Complete Bootcamp - NLP, Transformers & Gen AI
Explore Generative AI, LangChain, Prompt Engineering. Build, Deploy, Optimize Gen AI Models Apps with Python.
/channel/boost/DataLearning_101
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/channel/boost/DataLearning_101
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AI Engineering: Building Applications with Foundation Models 2024-2025
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Machine Learning Engineering with Python (2023)
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition 2009
Corrected at 12th printing 2017
Andriy Burkov - The Hundred-Page Machine Learning Book (2019)
👉🏼✅ Read Online ✅👈🏼
Mathematics for Machine Learning -2020
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The Data Analyst Course: Complete Data Analyst Bootcamp
📖 Complete Data Analyst Training: Python, NumPy, Pandas, Data Collection, Preprocessing, Data Types, Data Visualization
Rebelway - Introduction To Machine Learning
This course provides a comprehensive introduction to the basics of Artificial Intelligence (AI) and Machine Learning (ML).
Explore AI essentials: theory, algorithms, and applications. Master Python and top libraries for real-world solutions. Gain confidence in training your own AI using Machine Learning
The MLOps Workbook A Guided Online Course for Getting Started with MLOps (2023)
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Mastering MLOps Architecture (2024)
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Machine Learning with Python Cookbook (2023) 2nd Edt
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Data Science on AWS (2021)
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N8N desde cero: Automatizaciones, Agentes de IA y mucho más
Whatsapp, Telegram, MCP, Open IA, Flutterflow, Airtable, Google Cloud, Agentes con voz y mucho más
Computer Science Introduction
Learn hidden secrets
Top 50 LLM Interview Questions!
A comprehensive resource that covers traditional ML basics, model architectures, real-world case studies, and theoretical foundations.
LLM Engineer's Handbook: Master the art of engineering large language models from concept to production 2024
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Practical MLOps: Operationalizing Machine Learning Models - 2021
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Hands-On Large Language Models (2024)
👉🏼 GITHUB 👈🏼
The Hundred-Page Language Models Book (2025)
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. Third Edition October:2022
👉🏼 Second Edition 👈🏼
Practical Statistics for Data Scientists (2020)
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The Complete Prompt Engineering for AI Bootcamp (2025)
📖 Learn practical coding skills for working professionally with AI, including GPT-4, Stable Diffusion, and GitHub Copilot.
Introduction to AI Automation with n8n & LangChain (no-code)
Learn to visually automate tasks, integrate apps, and streamline processes with n8n and LangChain using ChatGPT AI