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

How to apply machine learning and deep learning methods to audio analysis

Find out how data scientists and AI practitioners can use a machine learning experimentation platform like Comet.ml to apply machine learning and deep learning to methods in the domain of audio analysis.

https://www.kdnuggets.com/2019/11/comet-machine-learning-deep-learning-audio.html

Why write for KDnuggets? Calling for original blogs and new authors

KDnuggets is calling for original blogs and contributions from new authors on AI, Data Science, Machine Learning, and related topics. The authors of most popular such blogs in December will be profiled in KDnuggets.

https://www.kdnuggets.com/2019/11/write-for-kdnuggets.html

A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone

 Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision ...
The post A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/11/comprehensive-guide-attention-mechanism-deep-learning/

KDnuggets™ News 19:n44, Nov 20: How I Got Better at Machine Learning; Tips for a cost-effective ML project

Read tips and tricks that helped one Data Scientist to get better at Machine Learning; Learn how to make ML project cost-effective; Consider submitting a blog to KDnuggets - you can be profiled here; and study how to manipulate Python lists.

https://www.kdnuggets.com/2019/n44.html

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

The two main takeaways from this paper: firstly, a sharpening of my understanding of the difference between explainability and interpretability, and why the former may be problematic; and secondly some great pointers to techniques for creating truly interpretable models.

https://www.kdnuggets.com/2019/11/stop-explaining-black-box-models.html

Deep Learning for Image Classification with Less Data

In this blog I will be demonstrating how deep learning can be applied even if we don’t have enough data.

https://www.kdnuggets.com/2019/11/deep-learning-image-classification-less-data.html

Pro Tips: How to deal with Class Imbalance and Missing Labels

Your spectacularly-performing machine learning model could be subject to the common culprits of class imbalance and missing labels. Learn how to handle these challenges with techniques that remain open areas of new research for addressing real-world machine learning problems.

https://www.kdnuggets.com/2019/11/tips-class-imbalance-missing-labels.html