[ COVER OF THE WEEK ]
Trust the data Source
[ LOCAL EVENTS & SESSIONS]
- Nov 11, 2018 #WEB An Introduction to Big Data with Hadoop & Spark – Free Webinar
- Nov 10, 2018 #WEB Machine Learning & Data Science Training
- Oct 31, 2018 #WEB Thinkful Webinar: Web Development or Data Science?
[ AnalyticsWeek BYTES]
[ NEWS BYTES]
[ FEATURED COURSE]
6.867 is an introductory course on machine learning which gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending … more
[ FEATURED READ]
This book predicts the decline of today’s professions and describes the people and systems that will replace them. In an Internet society, according to Richard Susskind and Daniel Susskind, we will neither need nor want … more
[ TIPS & TRICKS OF THE WEEK]
Keeping Biases Checked during the last mile of decision making
Today a data driven leader, a data scientist or a data driven expert is always put to test by helping his team solve a problem using his skills and expertise. Believe it or not but a part of that decision tree is derived from the intuition that adds a bias in our judgement that makes the suggestions tainted. Most skilled professionals do understand and handle the biases well, but in few cases, we give into tiny traps and could find ourselves trapped in those biases which impairs the judgement. So, it is important that we keep the intuition bias in check when working on a data problem.
[ DATA SCIENCE Q&A]
Q:What does NLP stand for?
A: * Interaction with human (natural) and computers languages
* Involves natural language understanding
– Machine translation
– Question answering: whats the capital of Canada?
– Sentiment analysis: extract subjective information from a set of documents, identify trends or public opinions in the social media
– Information retrieval
[ VIDEO OF THE WEEK]
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[ QUOTE OF THE WEEK]
Torture the data, and it will confess to anything. Ronald Coase
[ PODCAST OF THE WEEK]
[ FACT OF THE WEEK]
39 percent of marketers say that their data is collected ‘too infrequently or not real-time enough.’