In 1885, Hermann Ebbinghaus made a stark discovery about the human brain. We forget 40% of new information within days, and 90% within a month. Today, we can accurately hack this forgetting curve using AI and structured data. Language apps fail because they lack "contextual
EDUCATION
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ADHD Brain Experiences Lecture Learning in Educational Context
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My ADHD brain sat in on this entire lecture pretending I was a student again. https://t.co/QSeUNxttnB
— ๐ค Christine (@christinelu) 28 mars 2026My ADHD brain sat in on this entire lecture pretending I was a student again.
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Databricks Learning Festival: Certifications and Academy Labs Discounts
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The Databricks Learning Festival is underway!
— Databricks (@databricks) 28 mars 2026
Complete all modules in at least one self-paced learning pathway in Customer Academy by April 3 to earn:
โข 50% off any Databricks Certification
โข 20% off a yearly Academy Labs subscription
Take advantage of this chance to buildโฆ pic.twitter.com/cApwwY6yZsThe Databricks Learning Festival is underway! Complete all modules in at least one self-paced learning pathway in Customer Academy by April 3 to earn: โข 50% off any Databricks Certification โข 20% off a yearly Academy Labs subscription Take advantage of this chance to build
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Free 674-Page Machine Learning Textbook PDF Available for Download
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Download 674-page PDF >> Introduction to Machine Learning (textbook on foundations, algorithms, and techniques): http://
arxiv.org/abs/2409.02668
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#MachineLearning #ML #DeepLearning #AI #Mathematics #DataScience #DataScientist -

Handbook of Data Science and AI: Machine Learning and Data Analytics
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The Handbook of Data Science and AI โ Generate Value from Data with Machine Learning and Data Analytics: http://
amzn.to/3Wc1Iiz -

Analytical Skills for AI and Data Science in Enterprise
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Analytical Skills for AI and Data Science โ Building Skills for an AI-Driven Enterprise: http://
amzn.to/4b6fufu โฆhelps practitioners to create value from AI and data science using an analytical skillset โ each chapter illustrates how each skill works across a collection of use -

Unsupervised Machine Learning: Models, Algorithms, and Data Without Labels
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Data Without Labels โ Models and Algorithms for Practical Unsupervised #MachineLearning: http://
amzn.to/4q5bbYz ๐ฆ๐ฑ๐ช๐ฝ ๐จ๐ธ๐พ ๐ฆ๐ฒ๐ต๐ต ๐๐ฎ๐ช๐ป๐ท: Fundamental building blocks and concepts of machine learning and unsupervised learning
Data cleaning for structured and -

Linear Algebra and Optimization for Machine Learning
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Linear Algebra and Optimization for Machine Learning [516-page textbook]: http://amzn.to/39aWf8N โโโโโ
#DataScience #DataScientist #ML #Mathematics #ORMS -

Tensor Decompositions for Data Science and Computational Science
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Tensor Decompositions for Data Science [and Computational Science]: http://
amzn.to/4s2B5g1
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#ML #MachineLearning #DataScientist #DataScience #Mathematics
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Note: Extensive background materials in linear algebra, optimization, probability, and statistics are included as -

Hands-On Mathematical Optimization with Python Guide
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Hands-On Mathematical Optimization with Python: http://
amzn.to/4b3VADe โโฆpresents the key ingredients of an optimization problem and the choices one needs to make when modeling a real-life problem mathematically. Topics covered range from linear and network optimization to
