The Essential Toolbox for Data Cleaning

Increase your confidence to perform data cleaning with a broader perspective of what datasets typically look like, and follow this toolbox of code snipets to make your data cleaning process faster and more efficient.

https://www.kdnuggets.com/2019/12/essential-toolbox-data-cleaning.html

Why software engineering processes and tools don’t work for machine learning

While AI may be the new electricity significant challenges remain to realize AI potential. Here we examine why data scientists and teams can’t rely on software engineering tools and processes for machine learning.

https://www.kdnuggets.com/2019/12/comet-software-engineering-machine-learning.html

5 Techniques to Prevent Overfitting in Neural Networks

In this article, I will present five techniques to prevent overfitting while training neural networks.

https://www.kdnuggets.com/2019/12/5-techniques-prevent-overfitting-neural-networks.html

10 Free Top Notch Machine Learning Courses

Are you interested in studying machine learning over the holidays? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to improving your machine learning skills.

https://www.kdnuggets.com/2019/12/10-free-top-notch-courses-machine-learning.html

Accuracy Fallacy: The Media’s Coverage of AI Is Bogus

Such as the gross exaggerations Stanford researchers broadcasted about their infamous "AI gaydar" project, there exists a prevalent "accuracy fallacy" in relation to AI from the media. Find out more about how the press constantly misleads the public into believing that machine learning can reliably predict psychosis, heart attacks, sexuality, and much more.

https://www.kdnuggets.com/2019/12/accuracy-fallacy-media-coverage-ai-bogus.html

BigML Customer Success Highlights – Part 2

In this post, we continue revealing BigML customer success stories that we kicked off with our last post detailing how a number of startups are basing their smart applications and services on the BigML platform. Those companies have profited from adopting BigML rather than taking the costly and risky approach of trying to build their […]

https://blog.bigml.com/2019/12/06/bigml-customer-success-highlights-part-2/

Webinar: Natural Language Processing for Digital Transformation of Unstructured Text

Learn how pharma and healthcare organizations are using the power of Natural Language Processing (NLP) to transform unstructured text into actionable structured data.

https://www.kdnuggets.com/2019/12/copyright-webinar-natural-language-processing.html

Basics of Functions and Methods in Scala

Learn about the basics of methods, named arguments, default parameter values, variable arguments in addition to different kinds of functions.

https://www.datacamp.com/community/tutorials/basic-functions-methods-scala

6 Powerful Feature Engineering Techniques For Time Series Data (using Python)

Overview Feature engineering is a skill every data scientist should know how to perform, especially in the case of time series We’ll discuss 6 ...
The post 6 Powerful Feature Engineering Techniques For Time Series Data (using Python) appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/12/6-powerful-feature-engineering-techniques-time-series/

DeepMind Unveils MuZero, a New Agent that Mastered Chess, Shogi, Atari and Go Without Knowing the Rules

The new model showed great improvements over the previous AlphaZero agent.

https://www.kdnuggets.com/2019/12/deepmind-unveils-muzero-agent-chess-shogi-atari-go.html

Top Stories, Dec 2-8: How to Speed up Pandas by 4x with one line of code; 10 Free Top Notch Machine Learning Courses

Also: Data Science Curriculum Roadmap; Enabling the Deep Learning Revolution; The Essential Toolbox for Data Cleaning; A Non-Technical Reading List for Data Science; The Future of Careers in Data Science & Analysis

https://www.kdnuggets.com/2019/12/top-news-week-1202-1208.html

AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020

As we say goodbye to one year and look forward to another, KDnuggets has once again solicited opinions from numerous research & technology experts as to the most important developments of 2019 and their 2020 key trend predictions.

https://www.kdnuggets.com/2019/12/predictions-ai-machine-learning-data-science-research.html

The 4 Hottest Trends in Data Science for 2020

The field of Data Science is growing with new capabilities and reach into every industry. With digital transformations occurring in organizations around the world, 2019 included trends of more companies leveraging more data to make better decisions. Check out these next trends in Data Science expected to take off in 2020.

https://www.kdnuggets.com/2019/12/4-hottest-trends-data-science-2020.html

Moving Predictive Maintenance from Theory to Practice

Here are four common hurdles that need to be overcome before tapping into the benefits of predictive maintenance.

https://www.kdnuggets.com/2019/12/mathworks-predictive-maintenance-theory-practice.html

Using TensorFlow 2.0 to Compose Music

In this tutorial, you will learn how to train generative models to compose music in TensorFlow 2.0.

https://www.datacamp.com/community/tutorials/using-tensorflow-to-compose-music

Game Theory 101: Decision Making in a Competitive Scenario using Normal Form Games

Overview Game Theory can be incredibly helpful for decision making in competitive scenarios Understand the concept of Normal Form Games in the context of ...
The post Game Theory 101: Decision Making in a Competitive Scenario using Normal Form Games appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/12/game-theory-101-decision-making-normal-form-games/

5 Great New Features in Latest Scikit-learn Release

From not sweating missing values, to determining feature importance for any estimator, to support for stacking, and a new plotting API, here are 5 new features of the latest release of Scikit-learn which deserve your attention.

https://www.kdnuggets.com/2019/12/5-features-scikit-learn-release-highlights.html

The Path to Becoming a Data Engineer

The definitive guide to help you become a data engineer.

https://www.datacamp.com/community/blog/the-path-to-becoming-a-data-engineer

Intro to Grafana: Installation, Configuration, and Building the First Dashboard

One of the biggest highlights of Grafana is the ability to bring several data sources together in one dashboard with adding rows that will host individual panels. Let's look at installing, configuring, and creating our first dashboard using Grafana.

https://www.kdnuggets.com/2019/12/intro-grafana-installation-configuration-building-first-dashboard.html

Scalable graph machine learning: a mountain we can climb?

Graph machine learning is a developing area of research that brings many complexities. One challenge that both fascinates and infuriates those working with graph algorithms is — scalability. We take a close look at scalability for graph machine learning methods covering what it is, what makes it difficult, and an example of a method that tackles it head-on.

https://www.kdnuggets.com/2019/12/scalable-graph-machine-learning.html

Deployment of Machine learning models using Flask

This blog will explain the basics of deploying a machine learning algorithm, focusing on developing a Naïve Bayes model for spam message identification, and using Flask to create an API for that model.

https://www.kdnuggets.com/2019/12/excelr-deployment-machine-learning-flask.html