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Machine Learning System Design Interview Ali Aminian Pdf Better -

Software for motif discovery and next generation sequencing analysis

HOMER (Hypergeometric Optimization of Motif EnRichment) is a suite of tools for Motif Discovery and ChIP-Seq analysis. It is a collection of command line programs for unix-style operating systems written in mostly perl and c++. Homer was primarily written as a de novo motif discovery algorithm that is well suited for finding 8-12 bp motifs in large scale genomics data.

Hardware Requirements (recommended): 2+ Gb memory (4-8+ Gb), 10+ Gb Hard Drive space (50+ Gb)
Software Requirements: Unix compatible OS (or cygwin), perl, gcc, make, wget (optional for full functionality: R, DESeq2, blat, bedGraphToBigWig, liftOver)
License: GPLv3

HOMER works on pretty much any Linux/UNIX systems, including MacOS (if Xcode compilers are installed) and on Windows using either cygwin or a Linux subsystem.

If you are looking specifically for HOMER2, you are in the right place! HOMER2 is integrated into HOMER.

Full Program Download

Machine Learning System Design Interview Ali Aminian Pdf Better -

Machine Learning System Design Interview: A Comprehensive Guide by Ali Aminian

However, for the majority of senior-level interviews, the signal-to-noise ratio of Aminian’s material is unmatched. It is not a beginner’s guide to Python or a stats refresher. It assumes you know the basics and cuts straight to the system design case studies. Implementation notes:

"Machine Learning System Design Interview" by Ali Aminian: Without specific information about this resource, it's hard to review. However, if it covers the essential aspects of machine learning system design and interview preparation, it could be a useful resource. Upload/select PDF Auto-generate card set grouped by topic

If you find an older PDF (pre-2022), it is still 80% valid for classical ML (Ranking, Forecasting, Anomaly Detection). For GenAI, look for his "ML System Design for LLMs" supplement. view source snippet for each card

  • Implementation notes:
    1. Upload/select PDF
    2. Auto-generate card set grouped by topic
    3. Study via spaced repetition; view source snippet for each card

    End-to-End Coverage: It covers dataset collection, feature engineering, model serving, and handling challenges like distribution shifts.

    • Program Components and Older Versions

    homer2 program - key executable for HOMER motif discovery (homerCppOnly.*.zip). (This archive actually contains all of the c++ executable, not just homer2).  Unzip in the desired directory and simply type "make" to compile the program.

    The configuration script really doesn't deal with older versions, but you can download older versions yourself should you really feel like using inferior data or software!
    Old Versions of HOMER Software
    Old Versions of Organism Packages
    Old Versions of Promoter Packages
    Old Versions of Genome Packages

    Update Information

    Change Log - Short description of recent changes

    update.txt - Current HOMER configuration list (Currently support human hg17/hg18/hg19, mouse mm8/mm9, rat rn4, X. tropicalis xenTro2, drosophila dm3, and C. elegans ce6, Zebrafish danRer7, yeast sacCer2, Arabidopsis tair10, Rice msu6, Pombe ASM294v1)
    machine learning system design interview ali aminian pdf better
    Can't figure something out? Questions, comments, concerns, or other feedback:
    cbenner@ucsd.edu