data scientist Memes

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Content BECOME A DATA SCIENTIST IN 50 DAYS Day 1-5 Learn Python R-I Day 6-10 Learn R Day 11-15 Statistics Day 16-20 Learn Calculus Day 36-40 Communication Skills Day 31-35 Day 26-30 Data Cleaning Data Visualization Day 21-25 Basic ML Day 41-45 Project: Titanic Classification Day 46-50 Revise ProarammerHumor.io

Content Halli g iamharaldur I'm very glad they are still around but I don't understand how Pandas didn't go extinct millions of years ago? They seem absolutely clueless. 1:17 19 Mar 23 1.6M Views

Content STOP USING DATABASES Data storage was not supposed to be serialized YEARS OF COLLECTION yet NO REAL-WORLD USE FOUND for going higher than a VECTOR Wanted to go higher anyway for a laugh? We had a tool for that: It was called EXCEL "Yes please START TRANSACTION. Please use PREPARED STATEMENTS." - Statements dreamed up by the utterly deranged LOOK at what CS engineers have been demanding your Respect for all this time, with all libraries and languages we built for them (This is REAL MySQL, done by REAL data scientists) ????? ??????? ????????????????? "Hello I would like ';DROP TABLE users;-- please" They have played us for absolute fools

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Content Hi Our client needs a Sr. Data Scientist in Hyattsville, MD - Partial Remote. I believe you are qualified for this role. If you are interested please send me your resume and salary. If you are not available please refer someone who can work with us. Work Authorization: US Citizen or Green Card Position type: Full Time Required: - 6 years of applied Data Science experience - 2 years of experience deploying, scaling and continually improving algorithms - Broad industry experience with recommendation - Bachelor's degree in Statistics, Mathematics, Economics. Master's Degree preferred Extra Spices - What you should bring to the table - Expert in recommender systems and personalization algorithms - Above 95th percentile coding ability in Python - Deep understanding of, and experience applying, the following ML concepts: - Collaborative filtering - Linear and scalar algebra - Association rule mining - Ranking algorithms - Advanced regression, classification, clustering, and time series algorithms - Causal inference modeling at scale for algorithm testing and evaluation - Deep learning at scale for NLP - Experience with advanced search concepts using deep learning is a plus! Thanks Regards, ProgrammerHumor io

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