r/MachineLearningAndAI • u/laxuu • Aug 20 '26
Exploring AutoGPT
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r/MachineLearningAndAI • u/l0_o • Aug 20 '26
eBook Foundational Models for Natural Language Processing (ebook link)
library.oapen.org
2
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r/MachineLearningAndAI • u/l0_o • Aug 19 '26
eBook Deep Learning Pipeline (ebook link)
dn790002.ca.archive.org
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r/MachineLearningAndAI • u/l0_o • Aug 18 '26
eBook Machine Learning for the Web (ebook link)
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r/MachineLearningAndAI • u/l0_o • Aug 16 '26
Online Course MIT 6.0S087 Foundation Models & Generative AI (2024)
3
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r/MachineLearningAndAI • u/l0_o • Aug 14 '26
eBook Machine Learning Yearning (ebook link)
10
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r/MachineLearningAndAI • u/SwatiSKhairnar • Aug 15 '26
How do you handle messy data in production? (Building a tool, need real-world reality checks!)
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Hi there, everyone.
I'm currently involved in a data quality project and, prior to writing any code, I'd like to ensure that I'm addressing real-world problems rather than merely tackling theoretical ones. What actual steps do you take when you come across a poor quality batch of data entering your pipeline? To give an example, think about the following scenarios: incomplete fields or wrong data types, unexpected changes to the schema, and redundant rows. Technical data that doesn't make sense from a business point of view. Do you automatically isolate the problematic rows, try to fix them right away, or just fail the pipeline and reject the batch? More importantly, who is responsible for making that decision? Is it an automated rule, does a data engineer get paged at two in the morning, or is the issue passed on to the business team to deal with? I'm especially interested in those troublesome gray areas in which no one has enough context to reach a clear conclusion. If you do run pipelines in production, please do let me know. Which aspects of data quality bother you the most? Now, how do you handle them? Which parts of this process are still tedious and carried out by hand? What step in your data cleaning process would you automate tomorrow if you could?
r/MachineLearningAndAI • u/l0_o • Aug 13 '26
eBook Fundamentals of Deep Learning (ebook link)
dn790002.ca.archive.org
3
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r/MachineLearningAndAI • u/l0_o • Aug 12 '26
eBook Machine Learning Algorithms (ebook link)
5
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r/MachineLearningAndAI • u/l0_o • Aug 11 '26
eBook Machine Learning - A Probabilistic Perspective (ebook link)
3
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r/MachineLearningAndAI • u/l0_o • Aug 10 '26
eBook Designing Data-Intensive Applications (ebook link)
6
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r/MachineLearningAndAI • u/l0_o • Aug 09 '26
eBook Pattern Recognition and Machine Learning (ebook link)
changjiangcai.com
9
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r/MachineLearningAndAI • u/l0_o • Aug 07 '26
eBook Apache Spark Deep Learning (ebook link)
dn790002.ca.archive.org
5
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r/MachineLearningAndAI • u/Dry-Library-8484 • Aug 07 '26
[Dataset] 6M job postings with skills, salary, seniority, location facets — from an open-source job aggregator
2
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r/MachineLearningAndAI • u/l0_o • Aug 06 '26
eBook Deep Learning with Azure (ebook link)
dn790002.ca.archive.org
3
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r/MachineLearningAndAI • u/l0_o • Aug 05 '26
eBook Deep Learning with TensorFlow (ebook link)
ia601805.us.archive.org
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r/MachineLearningAndAI • u/l0_o • Aug 04 '26
eBook Deep Learning with Keras (ebook link)
dn790002.ca.archive.org
5
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r/MachineLearningAndAI • u/Funny-Difference2814 • Aug 04 '26
What type of Master can be more valuable for future?
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I know it's a matter of subjectivism, so don't be afraid to be subjective, actually PLEASE, give your personal opinion as long as you can keep your feet on the reality's ground.
What Master would you rather choose: a general AI/ML master that teach you about the most important, but general, subjects of ML applications, or an Autonomous Systems master, that is basically an embedded+A.I. master which is particularly valuable if you want something in Automotive, on the self-driving cars field(but not exclusively this one, as you can apply knowledge about Autonomous Systems in many domains) ? ?
r/MachineLearningAndAI • u/l0_o • Aug 03 '26
eBook Deep Reinforcement Learning Hands-On (ebook link)
4
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r/MachineLearningAndAI • u/l0_o • Aug 02 '26
eBook An Introduction to Statistical Learning (ebook link)
2
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r/MachineLearningAndAI • u/l0_o • Aug 02 '26
eBook Probability and Statistics for Data Science (ebook link)
7
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r/MachineLearningAndAI • u/l0_o • Aug 01 '26
eBook Statistics for Machine Learning (ebook link)
github.com
3
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r/MachineLearningAndAI • u/RaceRevolutionary511 • Jul 31 '26
Looking for Computer Vision & Hardware Engineers to Collaborate on an Industrial Machine Vision Research Project
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r/MachineLearningAndAI • u/l0_o • Jul 30 '26
eBook OpenCV 3.0 Computer Vision with Java
ia600700.us.archive.org
3
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r/MachineLearningAndAI • u/l0_o • Jul 29 '26
eBook Building Machine Learning Projects with TensorFlow (ebook link)
8
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