Top KDnuggets tweets, Oct 16-22: How YouTube is Recommending Your Next Video

Also: The 5 Classification Evaluation Metrics Every Data Scientist Must Know; How to Recognize a Good Data Scientist Job From a Bad One; How to Easily Deploy Machine Learning Models Using Flask.

https://www.kdnuggets.com/2019/10/top-tweets-oct16-22.html

You Can’t Miss these 4 Powerful Reinforcement Learning Sessions at DataHack Summit 2019

“If intelligence was a cake, unsupervised learning would be the cake, supervised learning would be the icing on the cake, and reinforcement learning would ...
The post You Can’t Miss these 4 Powerful Reinforcement Learning Sessions at DataHack Summit 2019 appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/10/reinforcement-learning-sessions-datahack-summit-2019/

Convolutional Neural Network for Breast Cancer Classification

See how Deep Learning can help in solving one of the most commonly diagnosed cancer in women.

https://www.kdnuggets.com/2019/10/convolutional-neural-network-breast-cancer-classification.html

Feature Selection: Beyond feature importance?

In this post, you will see 3 different techniques of how to do Feature Selection to your datasets and how to build an effective predictive model.

https://www.kdnuggets.com/2019/10/feature-selection-beyond-feature-importance.html

Seven Myths About True Costs of AI System

While there is much excitement today around implementing AI at the enterprise level, the financial costs of this process is often unexpected and underappreciated. These seven myths are crucial lessons learned that executives should know before heading down the road to AI.

https://www.kdnuggets.com/2019/10/seven-myths-costs-ai-system.html

Introduction to Natural Language Processing (NLP)

Have you ever wondered how your personal assistant (e.g: Siri) is built? Do you want to build your own? Perfect! Let’s talk about Natural Language Processing.

https://www.kdnuggets.com/2019/10/introduction-natural-language-processing.html

Harnessing Semiotics and Discourse Communities to Understand User Intent

Semiotics helps us understand the importance of context to determining the meaning of a term and discourse communities provide us with the background context (mental model) by which to correctly interpret its meaning correctly.

https://www.kdnuggets.com/2019/10/there-thing-free-lunch-part-3.html

5 Advanced Features of Pandas and How to Use Them

The pandas library offers core functionality when preparing your data using Python. But, many don't go beyond the basics, so learn about these lesser-known advanced methods that will make handling your data easier and cleaner.

https://www.kdnuggets.com/2019/10/5-advanced-features-pandas.html

PySpark for Beginners – Take your First Steps into Big Data Analytics (with Code)

Overview Big Data is becoming bigger by the day, and at an unprecedented pace How do you store, process and use this amount of ...
The post PySpark for Beginners – Take your First Steps into Big Data Analytics (with Code) appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/10/pyspark-for-beginners-first-steps-big-data-analysis/

DeepMind is Using This Old Technique to Evaluate Fairness in Machine Learning Models

Visualizing the datasets is an essential component to identify potential sources of bias and unfairness. DeepMind relied on a method called Causal Bayesian networks (CBNs) to represent and estimate unfairness in a dataset.

https://www.kdnuggets.com/2019/10/deepmind-using-old-technique-evaluate-fairness-machine-learning-models.html

How Bayes’ Theorem is Applied in Machine Learning

Learn how Bayes Theorem is in Machine Learning for classification and regression!

https://www.kdnuggets.com/2019/10/bayes-theorem-applied-machine-learning.html

DataTech20 Seeking Speaker Submissions (16 March 2020, Glasgow)

DataTech is a one-day conference on 16 Mar 2020, at the Technology and Innovation Centre in Glasgow, focusing on key topics in data science, and welcoming members of industry, academia, and the public sector alike. DataTech provides a forum for these different communities to meet, share knowledge and expertise, and forge new collaborations. We are currently welcoming workshop, talk and poster proposals for the DataTech20 conference.

https://www.kdnuggets.com/2019/10/datatech-speaker-submissions-march-glasgow.html

Data Sources 101

Data collection is one of the first steps of the data lifecycle — you need to get all the data you require in the first place. To collect the right data, you need to know where to find it and determine the effort involved in collecting it. This article answers the most basic question: where does all the data you need (or might need) come from?

https://www.kdnuggets.com/2019/10/data-sources-101.html

Top Stories, Oct 21-27: Everything a Data Scientist Should Know About Data Management; How YouTube is Recommending Your Next Video

Also: Introduction to Natural Language Processing (NLP); Anomaly Detection, A Key Task for AI and Machine Learning, Explained; How to Become a (Good) Data Scientist — Beginner Guide

https://www.kdnuggets.com/2019/10/top-news-week-1021-1027.html

How to Extend Scikit-learn and Bring Sanity to Your Machine Learning Workflow

In this post, learn how to extend Scikit-learn code to make your experiments easier to maintain and reproduce.

https://www.kdnuggets.com/2019/10/extend-scikit-learn-bring-sanity-machine-learning-workflow.html

About Google’s Self-Proclaimed Quantum Supremacy and its Impact on Artificial Intelligence

Google claimed quantum supremacy, IBM challenged it… but the development is really important for the future of AI.

https://www.kdnuggets.com/2019/10/googles-self-proclaimed-quantum-supremacy-impact-artificial-intelligence.html

Why is Machine Learning Deployment Hard?

Developing an excellent machine learning model is one thing. Deploying it to production is another. Consider these lessons learned and recommendations for approaching this important challenge to help ensure value from your AI work.

https://www.kdnuggets.com/2019/10/machine-learning-deployment-hard.html

Here are 8 Powerful Sessions to Learn the Latest Computer Vision Techniques

Do you want to build your own smart city? Picture it – self-driving cars strolling around, traffic lights optimised to maintain a smooth flow, ...
The post Here are 8 Powerful Sessions to Learn the Latest Computer Vision Techniques appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/10/8-latest-computer-vision-sessions-datahack-summit-2019/

KDnuggets™ News 19:n41, Oct 30: Feature Selection: Beyond feature importance?; Time Series Analysis Using KNIME and Spark

This week in KDnuggets: Feature Selection: Beyond feature importance?; Time Series Analysis: A Simple Example with KNIME and Spark; 5 Advanced Features of Pandas and How to Use Them; How to Measure Foot Traffic Using Data Analytics; Introduction to Natural Language Processing (NLP); and much, much more!

https://www.kdnuggets.com/2019/n41.html

5 Statistical Traps Data Scientists Should Avoid

Here are five statistical fallacies — data traps — which data scientists should be aware of and definitely avoid.

https://www.kdnuggets.com/2019/10/statistical-traps-data-scientists-avoid.html

Research Guide for Transformers

The problem with RNNs and CNNs is that they aren’t able to keep up with context and content when sentences are too long. This limitation has been solved by paying attention to the word that is currently being operated on. This guide will focus on how this problem can be addressed by Transformers with the help of deep learning.

https://www.kdnuggets.com/2019/10/research-guide-transformers.html