- Webinar: Natural Language Processing for Digital Transformation of Unstructured Text
- Dec 6, 2019.
Learn how pharma and healthcare organizations are using the power of Natural Language Processing (NLP) to transform unstructured text into actionable structured data.
Tags: Copyright Clearance Center, Digital Transformation, Linguamatics, NLP, Webinar
- Accuracy Fallacy: The Media’s Coverage of AI Is Bogus
- Dec 6, 2019.
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.
Tags: Accuracy, AI, Hype, Media
- 10 Free Top Notch Machine Learning Courses
- Dec 6, 2019.
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.
Tags: Books, Computer Vision, Courses, Deep Learning, Explainability, Graph Analytics, Interpretability, Machine Learning, NLP, Python
- 5 Techniques to Prevent Overfitting in Neural Networks
- Dec 6, 2019.
In this article, I will present five techniques to prevent overfitting while training neural networks.
Tags: Neural Networks, Overfitting
- Why software engineering processes and tools don’t work for machine learning
- Dec 5, 2019.
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.
Tags: Agile, Andrew Ng, Comet, Machine Learning, Software Engineering
- The Essential Toolbox for Data Cleaning
- Dec 5, 2019.
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.
Tags: Data Cleaning, Data Preparation
- Enabling the Deep Learning Revolution
- Dec 5, 2019.
Deep learning models are revolutionizing the business and technology world with jaw-dropping performances in one application area after another. Read this post on some of the numerous composite technologies which allow deep learning its complex nonlinearity.
Tags: Deep Learning, Gradient Descent, Neural Networks, Optimization
- Artificial Friend or Virtual Foe
- Dec 5, 2019.
Is AI making more good than harm?
Tags: AI, Machine Learning, Social Good, Sustainability
- Top KDnuggets tweets, Nov 27 – Dec 03: Data Science Books you should read in 2020
- Dec 4, 2019.
Also: WTF is a Tensor?!?; A Reality Check on #DataScience Hype; Is Data Science dying?; Indeed Fastest-Rising Tech Skills, 2018-2019; Cartoon: #Thanksgiving, Big Data, and Turkey #DataScience…
Tags: Top tweets
- Explainability: Cracking open the black box, Part 1
- Dec 4, 2019.
What is Explainability in AI and how can we leverage different techniques to open the black box of AI and peek inside? This practical guide offers a review and critique of the various techniques of interpretability.
Tags: Explainability, Explainable AI, Interpretability, XAI
- KDnuggets Poll: How well do current AutoML solutions work?
- Dec 4, 2019.
Take part in our latest poll, asking readers their opinions on the effectiveness of current automated machine learning solutions.
Tags: Automated Machine Learning, AutoML, Machine Learning, Poll
- The Rise of User-Generated Data Labeling
- Dec 4, 2019.
Let’s say your project is humongous and needs data labeling to be done continuously - while you’re on-the-go, sleeping, or eating. I’m sure you’d appreciate User-generated Data Labeling. I’ve got 6 interesting examples to help you understand this, let’s dive right in!
Tags: Data Preparation, Data Science, User Generated Content
- PyTorch in 2019 and where in Europe you can learn about PyTorch in 2020
- Dec 4, 2019.
The Reinforce AI Conference is coming to Budapest again. Join us Apr 6-7 for the conference days, and optionally Apr 8 for workshops. Stefan Otte returns as a speaker, while Francois Chollet joins this time as well.
Tags: Budapest, Francois Chollet, Hungary, Keras, PyTorch, Reinforce
- Statistical Thinking for Industrial Problem Solving: a free online course
- Dec 3, 2019.
This online course is available – for free – to anyone interested in building practical skills in using data to solve problems better.
Tags: JMP, Online Education, Statistics
- Popular Deep Learning Courses of 2019
- Dec 3, 2019.
With deep learning and AI on the forefront of the latest applications and demands for new business directions, additional education is paramount for current machine learning engineers and data scientists. These courses are famous among peers, and will help you demonstrate tangible proof of your new skills.
Tags: Courses, Deep Learning, Education, Online Education
- Vega-Lite: A grammar of interactive graphics
- Dec 3, 2019.
Vega and Vega-lite follow in a long line of work that can trace its roots back to Wilkinson’s ‘The Grammar of Graphics.’ Since then VegaLite has come into existence, bringing high-level specification of interactive visualisations to the Vega-Lite world.
Tags: Data Visualization, Graphics, Visualization
- Data Science Curriculum Roadmap
- Dec 3, 2019.
What follows is a set of broad recommendations, and it will inevitably require a lot of adjustments in each implementation. Given that caveat, here are our curriculum recommendations.
Tags: Data Science, Data Science Education
- A Non-Technical Reading List for Data Science
- Dec 2, 2019.
The world still cannot be reduced to numbers on a page because human beings are still the ones making all the decisions. So, the best data scientists understand the numbers and the people. Check out these great data science books that will make you a better data scientist without delving into the technical details.
Tags: Books, Data Science, Future, Review, Society
- Top 7 Data Science Use Cases in Trust and Security
- Dec 2, 2019.
What are trust and safety? What is the role of trust and security in the modern world? Read this overview of 7 data science application use cases in the realm of trust and security.
Tags: AI, Data Science, Security, Trust, Use Cases
- Top Stories, Nov 25 – Dec 1: How to Speed up Pandas by 4x with one line of code; Open Source Projects by Google, Uber and Facebook for Data Science and AI
- Dec 2, 2019.
Also: Getting Started with Automated Text Summarization; A Doomed Marriage of Machine Learning and Agile; The Future of Careers in Data Science & Analysis; The Future of Careers in Data Science & Analysis; Can Neural Networks Develop Attention? Google Thinks they Can
Tags: Top stories
- Google Open Sources MobileNetV3 with New Ideas to Improve Mobile Computer Vision Models
- Dec 2, 2019.
The latest release of MobileNets incorporates AutoML and other novel ideas in mobile deep learning.
Tags: Automated Machine Learning, Computer Vision, Google, Mobile, Open Source
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