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

Beginners Guide to the Three Types of Machine Learning

The following article is an introduction to classification and regression — which are known as supervised learning — and unsupervised learning — which in the context of machine learning applications often refers to clustering — and will include a walkthrough in the popular python library scikit-learn.

https://www.kdnuggets.com/2019/11/beginners-guide-three-types-machine-learning.html

Registration Open for 2nd Edition of Machine Learning School in Seville: March 26-27, 2020

Based on the successful reception of our First Edition, BigML, in collaboration with the EOI Business School, is launching the Second Edition of our Machine Learning School in Seville, which will take place on March 26 and 27, 2020. The #MLSEV will be an introductory two-day course optimized to learn the basic Machine Learning concepts and […]

https://blog.bigml.com/2019/11/13/registration-open-for-2nd-edition-of-machine-learning-school-in-seville-march-26-27-2020/

Transfer Learning Made Easy: Coding a Powerful Technique

While the revolution of deep learning now impacts our daily lives, these networks are expensive. Approaches in transfer learning promise to ease this burden by enabling the re-use of trained models -- and this hands-on tutorial will walk you through a transfer learning technique you can run on your laptop.

https://www.kdnuggets.com/2019/11/transfer-learning-coding.html

Python Workout / Practices of a Python Pro / Classic Computer Science Problems in Python

Whether you’re a beginner or an expert, there’s always new ways you can improve your Python coding. Save 40% off this trio of Manning Python books today! Just enter the code nlpropython40 at checkout when you buy from manning.com.

https://www.kdnuggets.com/2019/11/manning-python-books.html

Top KDnuggets tweets, Nov 06-12: 10 FREE must-read ebooks on AI. Things just keep getting more interesting in the field, so use these resources to stay up to speed.

Also: It's time to make your Data Science LinkedIn profile ready for recruiters.; Python Libraries for Interpretable Machine Learning - KDnuggets; Process your data with Pandas up to 4x faster with this new Python library.; How to Extract Google Maps Coordinates

https://www.kdnuggets.com/2019/11/top-tweets-nov06-12.html

Introduction to Apple’s Core ML 3 – Build Deep Learning Models for the iPhone (with code)

Overview Apple’s Core ML 3 is a perfect segway for developers and programmers to get into the AI ecosystem You can build machine learning ...
The post Introduction to Apple’s Core ML 3 – Build Deep Learning Models for the iPhone (with code) appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/11/introduction-apple-core-ml-3-deep-learning-models-iphone/

Testing Your Machine Learning Pipelines

Let’s take a look at traditional testing methodologies and how we can apply these to our data/ML pipelines.

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

Topics Extraction and Classification of Online Chats

This article provides covers how to automatically identify the topics within a corpus of textual data by using unsupervised topic modelling, and then apply a supervised classification algorithm to assign topic labels to each textual document by using the result of the previous step as target labels.

https://www.kdnuggets.com/2019/11/topics-extraction-classification-online-chats.html

How to Visualize Data in Python (and R)

Producing accessible data visualizations is a key data science skill. The following guidelines will help you create the best representations of your data using R and Python's Pandas library.

https://www.kdnuggets.com/2019/11/visualize-data-python-and-r.html

AI ROI: The Questions You Need To Be Asking

During this free Metis Corporate Training webinar, Dec 5 @ 12pm ET, Kerstin Frailey, Senior Data Scientist and Head of Executive Corporate Training at Metis, will walk through what you need to ask before, during, and after the lifetime of a data science project to accurately assess its impact on the business.

https://www.kdnuggets.com/2019/11/metis-ai-roi-webinar.html

Python Sets and Set Theory

Learn about Python sets: what they are, how to create them, when to use them, built-in functions, and their relationship to set theory operations.

https://www.datacamp.com/community/tutorials/sets-in-python