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

Python Lists and List Manipulation

In Python, lists store an ordered collection of items which can be of different types. This post is an overview of lists and their manipulation.

https://www.kdnuggets.com/2019/11/python-lists-list-manipulation.html

Tips for a cost-effective machine learning project

Spoiler: you don’t need a VM running 24/7 to handle 16 requests a day.

https://www.kdnuggets.com/2019/11/tips-cost-effective-machine-learning-project.html

On the sensationalism of artificial intelligence news

With artificial intelligence and machine learning now a mainstay of our daily awareness, news organizations have been seen to overstate the reality behind progress in the field. Learn more about recent examples of media hyperbole and explore why this may be happening.

https://www.kdnuggets.com/2019/11/sensationalism-artificial-intelligence-news.html

GitHub Repo Raider and the Automation of Machine Learning

Since X never, ever marks the spot, this article raids the GitHub repos in search of quality automated machine learning resources. Read on for projects and papers to help understand and implement AutoML.

https://www.kdnuggets.com/2019/11/github-repo-raider-automated-machine-learning.html

The Reinforcement-Learning Methods that Allow AlphaStar to Outcompete Almost All Human Players at StarCraft II

The new AlphaStar achieved Grandmaster level at StarCraft II overcoming some of the limitations of the previous version. How did it do it?

https://www.kdnuggets.com/2019/11/reinforcement-learning-methods-alphastar-outcompete-human-players-starcraft.html

Generalization in Neural Networks

When training a neural network in deep learning, its performance on processing new data is key. Improving the model's ability to generalize relies on preventing overfitting using these important methods.

https://www.kdnuggets.com/2019/11/generalization-neural-networks.html

Live Webinar: Continual Learning with Human-in-the-loop

Join this live webinar from cnvrg, Continual Learning with Human-in-the-loop, Nov 26 @ 12 PM EST, and learn the role of human-in-the-loop in your ML pipeline, how to close the loop in your pipeline, and much more.

https://www.kdnuggets.com/2019/11/cnvrg-webinar-continual-learning-human-loop.html

Top Stories, Nov 11-17: How to Speed up Pandas by 4x with one line of code

Also: The Complete Data Science LinkedIn Profile Guide; How Data Analytics Can Assist in Fraud Detection; Research Guide for Depth Estimation with Deep Learning; 10 Free Must-read Books on AI; Beginners Guide to the Three Types of Machine Learning

https://www.kdnuggets.com/2019/11/top-news-week-1111-1117.html

Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark

Overview Here’s a quick introduction to building machine learning pipelines using PySpark The ability to build these machine learning pipelines is a must-have skill ...
The post Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/11/build-machine-learning-pipelines-pyspark/

Data Science for Managers: Programming Languages

In this article, we are going to talk about popular languages for Data Science and briefly describe each of them.

https://www.kdnuggets.com/2019/11/data-science-managers-programming-languages.html

The Math Behind Bayes

This post will be dedicated to explaining the maths behind Bayes Theorem, when its application makes sense, and its differences with Maximum Likelihood.

https://www.kdnuggets.com/2019/11/math-behind-bayes.html

Reproducibility, Replicability, and Data Science

As cornerstones of scientific processes, reproducibility and replicability ensure results can be verified and trusted. These two concepts are also crucial in data science, and as a data scientist, you must follow the same rigor and standards in your projects.

https://www.kdnuggets.com/2019/11/reproducibility-replicability-data-science.html

SkillsUP Lab Encourages Employers to Invest in Lifelong Learning

Data fluency and continuous learning are desperately needed—especially in tight job markets like The Netherlands.

https://www.datacamp.com/community/blog/skills-up-lab