How I Got Better at Machine Learning

Check out this author's collection of tips and tricks that I learned over the years to get better at Machine Learning.

https://www.kdnuggets.com/2019/11/better-machine-learning.html

Beginners Guide to the Three Types of Machine Learning

The following article is an introduction to classification and regression — which are known as supervised learning — and unsupervised learning — which in the context of machine learning applications often refers to clustering — and will include a walkthrough in the popular python library scikit-learn.

https://www.kdnuggets.com/2019/11/beginners-guide-three-types-machine-learning.html

Registration Open for 2nd Edition of Machine Learning School in Seville: March 26-27, 2020

Based on the successful reception of our First Edition, BigML, in collaboration with the EOI Business School, is launching the Second Edition of our Machine Learning School in Seville, which will take place on March 26 and 27, 2020. The #MLSEV will be an introductory two-day course optimized to learn the basic Machine Learning concepts and […]

https://blog.bigml.com/2019/11/13/registration-open-for-2nd-edition-of-machine-learning-school-in-seville-march-26-27-2020/

Transfer Learning Made Easy: Coding a Powerful Technique

While the revolution of deep learning now impacts our daily lives, these networks are expensive. Approaches in transfer learning promise to ease this burden by enabling the re-use of trained models -- and this hands-on tutorial will walk you through a transfer learning technique you can run on your laptop.

https://www.kdnuggets.com/2019/11/transfer-learning-coding.html

Python Workout / Practices of a Python Pro / Classic Computer Science Problems in Python

Whether you’re a beginner or an expert, there’s always new ways you can improve your Python coding. Save 40% off this trio of Manning Python books today! Just enter the code nlpropython40 at checkout when you buy from manning.com.

https://www.kdnuggets.com/2019/11/manning-python-books.html

Top KDnuggets tweets, Nov 06-12: 10 FREE must-read ebooks on AI. Things just keep getting more interesting in the field, so use these resources to stay up to speed.

Also: It's time to make your Data Science LinkedIn profile ready for recruiters.; Python Libraries for Interpretable Machine Learning - KDnuggets; Process your data with Pandas up to 4x faster with this new Python library.; How to Extract Google Maps Coordinates

https://www.kdnuggets.com/2019/11/top-tweets-nov06-12.html

Introduction to Apple’s Core ML 3 – Build Deep Learning Models for the iPhone (with code)

Overview Apple’s Core ML 3 is a perfect segway for developers and programmers to get into the AI ecosystem You can build machine learning ...
The post Introduction to Apple’s Core ML 3 – Build Deep Learning Models for the iPhone (with code) appeared first on Analytics Vidhya.

https://www.analyticsvidhya.com/blog/2019/11/introduction-apple-core-ml-3-deep-learning-models-iphone/

Testing Your Machine Learning Pipelines

Let’s take a look at traditional testing methodologies and how we can apply these to our data/ML pipelines.

https://www.kdnuggets.com/2019/11/testing-machine-learning-pipelines.html

Topics Extraction and Classification of Online Chats

This article provides covers how to automatically identify the topics within a corpus of textual data by using unsupervised topic modelling, and then apply a supervised classification algorithm to assign topic labels to each textual document by using the result of the previous step as target labels.

https://www.kdnuggets.com/2019/11/topics-extraction-classification-online-chats.html

How to Visualize Data in Python (and R)

Producing accessible data visualizations is a key data science skill. The following guidelines will help you create the best representations of your data using R and Python's Pandas library.

https://www.kdnuggets.com/2019/11/visualize-data-python-and-r.html

AI ROI: The Questions You Need To Be Asking

During this free Metis Corporate Training webinar, Dec 5 @ 12pm ET, Kerstin Frailey, Senior Data Scientist and Head of Executive Corporate Training at Metis, will walk through what you need to ask before, during, and after the lifetime of a data science project to accurately assess its impact on the business.

https://www.kdnuggets.com/2019/11/metis-ai-roi-webinar.html

Python Sets and Set Theory

Learn about Python sets: what they are, how to create them, when to use them, built-in functions, and their relationship to set theory operations.

https://www.datacamp.com/community/tutorials/sets-in-python

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