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

Top November Stories: How to Speed up Pandas by 4x with one line of code

Also: 10 Free Must-read Books on AI; Data Science for Managers: Programming Languages; The Complete Data Science LinkedIn Profile Guide.

https://www.kdnuggets.com/2019/12/top-stories-2019-nov.html

10 Exciting Real-World Applications of AI in Retail

Overview The rise of artificial intelligence (AI) has disrupted many industries in recent years One of the most impacted industries – retail! Retail operations ...
The post 10 Exciting Real-World Applications of AI in Retail appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/12/10-exciting-real-world-applications-ai-retail/

KDnuggets™ News 19:n47, Dec 11: 10 Free Top Notch Machine Learning Courses; AI, Analytics, ML, DS Main Developments and Key Trends

We asked top experts: What were the main developments in AI, Data Science, Deep Learning, and Machine Learning Research in 2019, and what key trends do you expect in 2020? Read their answers, and also check 10 Free Top Notch Machine Learning Courses; 4 Hottest Trends in Data Science; The Essential Toolbox for Data Cleaning, and more

https://www.kdnuggets.com/2019/n47.html

NeurIPS 2019 Outstanding Paper Awards

NeurIPS 2019 is underway in Vancouver, and the committee has just recently announced this year's Outstanding Paper Awards. Find out what the selections were, along with some additional info on NeurIPS papers, here.

https://www.kdnuggets.com/2019/12/neurips-2019-paper-awards.html

Interpretability: Cracking open the black box, Part 2

The second part in a series on leveraging techniques to take a look inside the black box of AI, this guide considers post-hoc interpretation that is useful when the model is not transparent.

https://www.kdnuggets.com/2019/12/interpretability-black-box-part-2.html

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

We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.

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

Math for Programmers!

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.

https://www.kdnuggets.com/2019/12/manning-math-programmers.html

Top KDnuggets tweets, Dec 04-10: AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020

AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments and Key Trends; Down with technical debt! Clean #Python for #DataScientists; Calculate Similarity - the most relevant Metrics in a Nutshell.

https://www.kdnuggets.com/2019/12/top-tweets-dec04-10.html

How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark

Overview Streaming data is a thriving concept in the machine learning space Learn how to use a machine learning model (such as logistic regression) ...
The post How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/12/streaming-data-pyspark-machine-learning-model/

Deploying a pretrained GPT-2 model on AWS

This post attempts to summarize my recent detour into NLP, describing how I exposed a Huggingface pre-trained Language Model (LM) on an AWS-based web application.

https://www.kdnuggets.com/2019/12/deploying-pretrained-gpt-2-model-aws.html

Python Dictionary and Dictionary Methods

Check out this introduction to creating, accessing, and updating dictionaries in Python.

https://www.kdnuggets.com/2019/12/python-dictionary-methods.html

What just happened in the world of AI?

The speed at which AI made advancements and news during 2019 makes it imperative now to step back and place these events into order and perspective. It's important to separate the interest that any one advancement initially attracts, from its actual gravity and its consequential influence on the field. This review unfolds the parallel threads of these AI stories over this year and isolates their significance.

https://www.kdnuggets.com/2019/12/review-what-happened-ai.html

Plotnine: Python Alternative to ggplot2

Python's plotting libraries such as matplotlib and seaborn does allow the user to create elegant graphics as well, but lack of a standardized syntax for implementing the grammar of graphics compared to the simple, readable and layering approach of ggplot2 in R makes it more difficult to implement in Python.

https://www.kdnuggets.com/2019/12/python-alternative-ggplot2.html

KDD 2020 Call for Research, Applied Data Science Papers

ACM SIGKDD Invites Industry and Academic Experts to Submit Advancements in Data Mining, Knowledge Discovery and Machine Learning for 26th Annual Conference in San Diego.

https://www.kdnuggets.com/2019/12/kdd-2020-call-research-applied-data-science.html