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This page is about sharing knowledge regarding Data Science, Machine Learning, Hadoop, Pig, Hive, HBase, Python, Django, Pattern Recognition, Statistics.
21/10/2018
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30 Best Machine Learning Projects for the Past Year 2017 (v.2018) For the past year, we have compared nearly 8,800 open source Machine Learning projects to pick Top 30 (0.3% chance).
19/10/2018
10 Data Science Steps for Startups - Everyone should know who is not data Scientist I recently changed industries and joined a data science startup company where I'm responsible for building up a data science discipline.
30/09/2018
https://www.datasciencecentral.com/profiles/blogs/data-scientists-4-0
Data Scientists 4.0 Data Scientists 4.0 The 4th Industrial Revolution was publicly announced in 2011 at the Hannover Fair (1). Since then, many resources have been appeared aroun…
29/09/2018
80% of Global Businesses Looking To Hire A Data Scientist in 2019 According to MHR Analytics Survey of company leaders shows the vast majority are planning to hire data scientists as economic uncertainty continues.
28/09/2018
A Multivariate Time Series Guide to Forecasting and Modeling (with Python codes) Introduction Time is the most critical factor that decides whether a business will rise or fall. That's why we see sales in stores and e-commerce platforms aligning with festivals. These businesses analyze years of spending data to understand the best time to throw open the gates and see an increase...
https://machinelearningmastery.com/how-to-load-and-explore-household-electricity-usage-data/
28/09/2018
Landing a 150k USD #datascientist job: Seven things you need to know On Linkedin, many Data Science enthusiasts who aspire to be Data Scientists follow me. One person asked the question: What do I need to know to get a $1…
27/09/2018
https://machinelearningmastery.com/promise-deep-learning-natural-language-processing/
Promise of Deep Learning for Natural Language Processing The promise of deep learning in the field of natural language processing is the better performance by models that may require more data but less linguistic expertise to train and operate. There is a lot of hype and large claims around deep learning methods, but beyond the hype, deep learning methods...
23/09/2018
https://stanford.edu/~shervine/teaching/cs-229/cheatsheet-machine-learning-tips-and-tricks
CS 229 - Machine Learning Tips and Tricks Cheatsheet Teaching page of Shervine Amidi, Graduate Student at Stanford University.
11/09/2018
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Journey From Principle Component Analysis To Autoencoders Power of PCA Explained
23/07/2018
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Build your own Computer Vision model, Plotly 3.0.0 – Analytics Vidhya – Medium Elon Musk has long been a proponent of AI safety and ethics so it’s no surprise to see him taking a pledge to never create deadly weapons…