We do not grow old as long as we strive to improve ourselves.
The three ML paradigms, key algorithms, overfitting vs. underfitting, and the bias-variance tradeoff — Chapter 2 of AI & Machine Learning Fundamentals.
IAM users/groups/roles/policies, least privilege, MFA, STS, and identity federation — the foundation of AWS security. AWS SAA Chapter 2.
Descriptive statistics, distributions, missing value treatment, outlier detection, normalization and encoding — the essential steps before modeling. Chapter 2.
Symmetric/asymmetric encryption, hashing, PKI, digital signatures, TLS — the mathematical foundation of modern security. CISSP Chapter 2.
Artificial neural network architecture, activation functions, backpropagation, CNN vs. RNN vs. Transformer — Chapter 3 of AI & Machine Learning Fundamentals.
EC2 instance types, purchasing options, storage, security groups, AMIs, and Auto Scaling — mastering AWS compute. AWS SAA Chapter 3.
Probability distributions, hypothesis testing (t-test/chi-square/ANOVA), p-values, Type I/II errors — the statistical foundation of data analytics. Chapter 3.
Core concepts for CISSP Domain 3 — essential knowledge for the CISSP exam. Chapter 3.
Tokenization, embeddings, attention mechanisms, BERT vs. GPT, prompt engineering — Chapter 4 of AI & Machine Learning Fundamentals.
S3 buckets/objects, storage classes, versioning, static website hosting, lifecycle policies, and security — mastering S3. AWS SAA Chapter 4.
Ahoxy는 OIYO 패밀리가 되었습니다 👋 Ahoxy is now part of the OIYO family 👋
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