Data Cleaning and Preprocessing for Beginners

Careful preprocessing of data for your machine learning project is crucial. This overview describes the process of data cleaning and dealing with noise and missing data.

https://www.kdnuggets.com/2019/11/data-cleaning-preprocessing-beginners.html

Monitoring Models at Scale

Catch this Domino webinar on monitoring models at scale, Dec 11 @ 10am PT, covering detecting changes in pattern of real-world data your models are seeing in production, tracking how model accuracy and other quality metrics are changing over time, and getting alerted when health checks fail so that resolution workflows can be triggered.

https://www.kdnuggets.com/2019/11/domino-monitoring-models-at-scale.html

3 Reasons to attend Data Natives, 25-26 November, Berlin

Data Natives is an outstanding conference that lets you meet many talented Data Scientists and Data Professionals. Find your dream company or your dream employee and level up for 2020. Use code DN19_KDNuggets_50 to save.

https://www.kdnuggets.com/2019/11/data-natives-november-berlin.html

Orchestrating Dynamic Reports in Python and R with Rmd Files

Do you want to extract csv files with Python and visualize them in R? How does preparing everything in R and make conclusions with Python sound? Both are possible if you know the right libraries and techniques. Here, we’ll walk through a use-case using both languages in one analysis

https://www.kdnuggets.com/2019/11/orchestrating-dynamic-reports-python-r-rmd-files.html

BigML Customer Success Highlights – Part 1

Our post on the 100,000 registered customers milestone this summer included an infographic of sample use cases being explored by BigML users, which naturally span many different sectors and industries. Today, we’d like to start a series of posts that further highlight a subset of those business problems to give our readers some clues on […]

https://blog.bigml.com/2019/11/08/bigml-customer-success-highlights-part-1/

Understanding Boxplots

A boxplot. It can tell you about your outliers and what their values are. It can also tell you if your data is symmetrical, how tightly your data is grouped, and if and how your data is skewed.

https://www.kdnuggets.com/2019/11/understanding-boxplots.html

What is Data Science?

Data Science is pitched as a modern and exciting job offering high satisfaction. Does its reality really live up to the hype? Here, we show what it's really like to work as a Data Scientist.

https://www.kdnuggets.com/2019/11/what-is-data-science.html

Top October Stories: How to Become a (Good) Data Scientist; Everything a Data Scientist Should Know About Data Management; The Last SQL Guide for Data Analysis

Also A European Approach to Master's Degrees in Data Science; How YouTube is Recommending Your Next Video

https://www.kdnuggets.com/2019/11/top-stories-2019-oct.html

Game (Theory) for AI? An Illustrated Guide for Everyone

Overview What is Game Theory? And how does it apply to artificial intelligence (AI)? Game theory for AI is a fascinating concept that we ...
The post Game (Theory) for AI? An Illustrated Guide for Everyone appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/11/game-theory-ai/

Facebook Adds This New Framework to It’s Reinforcement Learning Arsenal

ReAgent is a new framework that streamlines the implementation of reasoning systems.

https://www.kdnuggets.com/2019/11/facebook-adds-this-new-framework-reinforcement-learning-arsenal.html

How Data Analytics Can Assist in Fraud Detection

A primary advantage of data analytics tools is that they can handle massive quantities of information at once. These solutions typically learn what's normal within a collection of information and how to spot anomalies.

https://www.kdnuggets.com/2019/11/data-analytics-assist-fraud-detection.html

Top Stories, Nov 4-10: 10 Free Must-read Books on AI

Also: Understanding Boxplots; Probability Learning: Maximum Likelihood; Designing Your Neural Networks; Facebook Has Been Quietly Open Sourcing Some Amazing Deep Learning Capabilities for PyTorch; 5 Statistical Traps Data Scientists Should Avoid

https://www.kdnuggets.com/2019/11/top-news-week-1104-1110.html

The Complete Data Science LinkedIn Profile Guide

With so many Data Scientists showing up on LinkedIn, it's time to make sure your profile is top-notch because your talent is still highly sought after. Recruitment specialists want to find you fast, and this guide will help you create the best profile to feature your expertise.

https://www.kdnuggets.com/2019/11/data-science-linkedin-profile-guide.html

How to Extract Google Maps Coordinates

In this article, I will show you how to quickly extract Google Maps coordinates with a simple and easy method.

https://www.kdnuggets.com/2019/11/octoparse-extract-google-maps-coordinates.html

Research Guide for Depth Estimation with Deep Learning

In this guide, we’ll look at papers aimed at solving the problems of depth estimation using deep learning.

https://www.kdnuggets.com/2019/11/research-guide-depth-estimation-deep-learning.html

MLOps for production-level machine learning [Nov 14 Webinar]

This live webinar, Nov 14 @ 12pm EST, on MLOps for production-level machine learning, will detail MLOps, a compound of “machine learning” and “operations”, a practice for collaboration and communication between data scientists and operations professionals to help manage the production machine learning lifecycle. Register now.

https://www.kdnuggets.com/2019/11/cnvrg-mlops-production-machine-learning-webinar.html

Understanding NLP and Topic Modeling Part 1

In this post, we seek to understand why topic modeling is important and how it helps us as data scientists.

https://www.kdnuggets.com/2019/11/understanding-nlp-topic-modeling-part-1.html

DataCamp is the 36th Fastest-Growing Company on Deloitte’s Technology Fast 500™

DataCamp grew 3,437% from 2015 through 2018.

https://www.datacamp.com/community/blog/fast-500

How to Speed up Pandas by 4x with one line of code

While Pandas is the library for data processing in Python, it isn't really built for speed. Learn more about the new library, Modin, developed to distribute Pandas' computation to speedup your data prep.

https://www.kdnuggets.com/2019/11/speed-up-pandas-4x.html

KDnuggets™ News 19:n43, Nov 13: Dynamic Reports in Python and R; Creating NLP Vocabularies; What is Data Science?

On KDnuggets this week: Orchestrating Dynamic Reports in Python and R with Rmd Files; How to Create a Vocabulary for NLP Tasks in Python; What is Data Science?; The Complete Data Science LinkedIn Profile Guide; Set Operations Applied to Pandas DataFrames; and much, much more.

https://www.kdnuggets.com/2019/n43.html

How I Got Better at Machine Learning

Check out this author's collection of tips and tricks that I learned over the years to get better at Machine Learning.

https://www.kdnuggets.com/2019/11/better-machine-learning.html