Python Tuples and Tuple Methods

Brush up on your Python basics with this post on creating, using, and manipulating tuples.

https://www.kdnuggets.com/2019/11/python-tuples-methods.html

The Notebook Anti-Pattern

This article aims to explain why this drive towards the use of notebooks in production is an anti pattern, giving some suggestions along the way.

https://www.kdnuggets.com/2019/11/notebook-anti-pattern.html

Top KDnuggets tweets, Nov 13-19: A whole lot of Data Science Cheatsheets

Also: Bring the scientific rigor of reproducibility to your Data Science projects; Neutrinos Lead to Unexpected Discovery in Basic Math ; The media gets really excited about AI. Maybe a bit too excited

https://www.kdnuggets.com/2019/11/top-tweets-nov13-19.html

Neural Networks 201: All About Autoencoders

Autoencoders can be a very powerful tool for leveraging unlabeled data to solve a variety of problem, such as learning a "feature extractor" that helps build powerful classifiers, finding anomalies, or doing a Missing Value Imputation.

https://www.kdnuggets.com/2019/11/all-about-autoencoders.html

Geocoding Automation: Free and Paid with Python, Selenium and Google

This tutorial will take you through two options that have automated the geocoding process for the user using Python, Selenium and Google Geocoding API.

https://www.kdnuggets.com/2019/11/automate-geocoding-free-paid-python-selenium-google.html

Three Methods of Data Pre-Processing for Text Classification

This blog shows how text data representations can be used to build a classifier to predict a developer’s deep learning framework of choice based on the code that they wrote, via examples of TensorFlow and PyTorch projects.

https://www.kdnuggets.com/2019/11/ibm-data-preprocessing-text-classification.html

Text Encoding: A Review

We will focus here exactly on that part of the analysis that transforms words into numbers and texts into number vectors: text encoding.

https://www.kdnuggets.com/2019/11/text-encoding-review.html

Implementation Complexities of Automated Machine Learning Projects

To demonstrate the implementation complexity differences along the AutoML highway, let's have a look at how 3 specific software projects approach the implementation of just such an AutoML "solution," namely Keras Tuner, AutoKeras, and automl-gs.

https://www.kdnuggets.com/2019/11/automl-implementation-complexities.html

Exception and Error Handling in Python

Error handling increases the robustness of your code, which guards against potential failures that would cause your program to exit in an uncontrolled fashion.

https://www.datacamp.com/community/tutorials/exception-handling-python

Advice for New and Junior Data Scientists

If you are a new Data Scientists early in your professional journey, and you’re a bit confused and lost, then follow this advice to figure out how to best contribute to your company.

https://www.kdnuggets.com/2019/11/advice-new-junior-data-scientists.html

A Unique Method for Machine Learning Interpretability: Game Theory & Shapley Values!

Overview Learn how to use Shapley values in game theory for machine learning interpretability It’s a unique and different perspective to interpret black-box machine ...
The post A Unique Method for Machine Learning Interpretability: Game Theory & Shapley Values! appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/11/shapley-value-machine-learning-interpretability-game-theory/

Can Neural Networks Develop Attention? Google Thinks they Can

Google recently published some work about modeling attention mechanisms in deep neural networks.

https://www.kdnuggets.com/2019/11/neural-networks-develop-attention-google.html

Top Stories, Nov 18-24: How to Speed up Pandas by 4x with one line of code; Python, Selenium & Google for Geocoding Automation: Free and Paid

Also: Automated Machine Learning Project Implementation Complexities; Text Encoding: A Review; The Notebook Anti-Pattern; Data Science for Managers: Programming Languages; 10 Free Must-read Books on AI

https://www.kdnuggets.com/2019/11/top-news-week-1118-1124.html

Top 8 Data Science Use Cases in Marketing

In this article, we want to highlight some key data science use cases in marketing. Let us concentrate on several instances that present particular interest and managed to prove their efficiency in the course of time.

https://www.kdnuggets.com/2019/11/top-8-data-science-use-cases-marketing.html

Would you buy insights from this guy? (How to assess and manage a Data Science vendor)

With all the hype from data science vendors selling "actionable insights" to boost your company's bottom line, selecting your analytics partner should proceed through the same, careful process as any traditional business endeavor. Follow these questions and best practices to ensure you manage accordingly.

https://www.kdnuggets.com/2019/11/assess-data-science-vendor.html

Probability Learning: Naive Bayes

This post will describe various simplifications of Bayes' Theorem, that make it more practical and applicable to real world problems: these simplifications are known by the name of Naive Bayes. Also, to clarify everything we will see a very illustrative example of how Naive Bayes can be applied for classification.

https://www.kdnuggets.com/2019/11/probability-learning-naive-bayes.html

Content-based Recommender Using Natural Language Processing (NLP)

A guide to build a content-based movie recommender model based on NLP.

https://www.kdnuggets.com/2019/11/content-based-recommender-using-natural-language-processing-nlp.html

Machine Learning 101: The What, Why, and How of Weighting

Weighting is a technique for improving models. In this article, learn more about what weighting is, why you should (and shouldn’t) use it, and how to choose optimal weights to minimize business costs.

https://www.kdnuggets.com/2019/11/machine-learning-what-why-how-weighting.html

AXA, State Auto and Hippo on how to fuse innovative tech to your company

Join this live webinar: Fast, Agile, Service-Driven Insurance: Fuse Innovative Tech to Your Company DNA - AI, Chatbots, Automation and More, Dec 11 at 10:00am EST, to get actionable insight to develop your strategy.

https://www.kdnuggets.com/2019/11/insurancenexus-innovative-tech-webinar.html

What is the Chi-Square Test and How Does it Work? An Intuitive Explanation with R Code

Overview What is the chi-square test? How does it work? Learn about the different types of Chi-Square tests and where and when you should ...
The post What is the Chi-Square Test and How Does it Work? An Intuitive Explanation with R Code appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/11/what-is-chi-square-test-how-it-works/

KDnuggets™ News 19:n45, Nov 27: Interpretable vs black box models; Advice for New and Junior Data Scientists

This week: Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead; Advice for New and Junior Data Scientists; Python Tuples and Tuple Methods; Can Neural Networks Develop Attention? Google Thinks they Can; Three Methods of Data Pre-Processing for Text Classification

https://www.kdnuggets.com/2019/n45.html