Adversarially Constrained Autoencoder Interpolation (ACAI; Berthelot et al., 2018) is a regularization procedure that uses an adversarial strategy to create high-quality interpolations of the learned representations in autoencoders.
If you work with data in your organization and want to expand your role, or you're considering a career move into a data analytics or data science role, the University of Delaware's 100% online Master of Science in Applied Statistics (ASTAT) can help you succeed.
Also - 7 Steps to Mastering Basic Machine Learning with Python - 2019 Edition; 10 Free Must-See Courses for Machine Learning and Data Science; How to Train a Keras Model 20x Faster with a TPU for Free.
The Predictive Analytics Innovation Summit takes place Apr 29 & 30 in San Diego. Secure your place at this must-attend event for data professionals today and deep-dive into a new era of AI and data strategy.
A brief overview of a new method for explainable AI (XAI), called anchors, introduce its open-source implementation and show how to use it to explain models predicting the survival of Titanic passengers.
Also: 8 Reasons Why You Should Get a Microsoft Azure Certification; How To Work In Data Science, AI, Big Data; How to Train a Keras Model 20x Faster with a TPU for Free; Who is a typical Data Scientist in 2019?; My Best Tips for Agile Data Science Research
This eBook includes insights on how data scientists from 4 leading companies delivered impressive business results such as accelerating global inventory from 48 hours to 45 minutes and reducing operational cost of analytics infrastructure by 30%. Get the eBook now!
Object Detection in Aerial Images is a challenging and interesting problem. By using Keras to train a RetinaNet model for object detection in aerial images, we can use it to extract valuable information.
This article contains an interview veteran data scientist, Dr Stylianos (Stelios) Kampakis, in which he discusses his career, and how he helps decision makers across a range of businesses understand how data science can benefit them.
Data and AI are all about scale. Databricks is bringing the Spark + AI Summit to San Francisco Apr 23-25. Check out the full list of sessions at Summit to see more exciting talks. Use code KDNuggets200 and get $200 off registration.
Introducing Black Box AI, a system for automated decision making often based on machine learning over big data, which maps a user’s features into a class predicting the behavioural traits of the individuals.
Mode is the data science platform that helps you get data in every corner of your business and create a single source of truth. Free your data science team, automate everything, and create a single source of truth.
At Vettery, we're flipping the job search on its head. Take a breather and consider an important question: is your job working just as hard as you are? If you're wondering what's out there or if you're ready to take a big step in your career, let your next job come to you.
Data science is said to change the manufacturing industry dramatically. Let's take under consideration several data science use cases in manufacturing that have already become common and brought benefits to the manufacturers.
Also: Artificial Neural Networks Optimization using Genetic Algorithm with Python; How To Work In Data Science, AI, Big Data; Why #BERT has 3 Embedding Layers and Their Implementation Details #DeepLearning; How to Train a Keras Model 20x Faster with a TPU for Free
ODSC is delighted to host an incredible lineup of leading experts in data science and AI from around the globe, with conferences in Boston, San Francisco, London, Bengaluru, São Paulo, and more on the way. Registration is now open!
Deep Learning World Munich is coming May 6-7 in Munich, Germany. You still have the chance to get your early bird pass until Apr 5. Secure your ticket for a lower price and access case studies and deep dives covering the commercial deployment of deep learning!
Also: Another 10 Free Must-Read Books for Machine Learning and Data Science; Building NLP Classifiers Cheaply With Transfer Learning and Weak Supervision; My favorite mind-blowing Machine Learning/AI breakthroughs; The 7 Myths of Data Anonymisation
PAW Workshops are coming to four cities in 2019. Along with top-tier keynotes and information-packed sessions, Predictive Analytics World brings you a wide selection of in-depth workshops this year in Munich, Las Vegas, London, and Berlin.
There are many facets to working in Data Science. Your role will depend greatly on the industry you pick and the area of Data Science you want to pursue. A Data Science career is very dynamic and requires a team effort to succeed.
In this blog, I’ll walk you through a personal project in which I cheaply built a classifier to detect anti-semitic tweets, with no public dataset available, by combining weak supervision and transfer learning.
The rise of ML Engineering; Build your own Robust #DeepLearning Environment in Minutes; Another 10 Free Must-Read Books for Machine Learning and Data Science; Top 5 #MachineLearning Courses for 2019 - from @Coursera and @EdX.
Learn effective data governance practices and how to successfully implement advanced analytics by attending our industry leading training at TDWI Chicago, April 28 - May 3, and take your projects to the next level.
The basic idea looks simple: find the gist, cut off all opinions and detail, and write a couple of perfect sentences, the task inevitably ended up in toil and turmoil. Here is a short overview of traditional approaches that have beaten a path to advanced deep learning techniques.
During their 10-month tenure, Mozilla fellows design products, run campaigns, and influence policy around the theme of “better machine decision making.” Fellows receive competitive funding + benefits, and a travel stipend. Apply by April 8.
AI is expected to contribute $150bn value to business by 2026. How can AI succeed in your industry? Do you know how to set an ambitious AI vision within your organization? Download your free ebook to find these solutions.
We investigate what a typical data scientist looks like and see how this differs from this time last year, looking at skill set, programming languages, industry of employment, country of employment, and more.
In this webinar from DataRobot, learn common automated machine learning use cases how automated machine learning enables more employees to take part in AI initiatives while making existing data science teams more productive, and more!
We investigate how to use a custom loss function to identify fair odds, including a detailed example using machine learning to bet on the results of a darts match and how this can assist you in beating the bookmaker.
Good things come in threes, including Online Learning courses. Introducing Data Science & Build Your Own Bundles: bundles include three full courses, allowing data and analytics pros to both broaden and deepen skills across today's hottest topics and save 15% for maximum ROI.
Check out these historical Predictive Analytics World milestones, from spawning the Target-predicting-pregnancy publicity debacle, to getting dinged by the Hollywood action movie star Chuck Norris, to growing into the leading international event series it is today.
Strata Data Conference is coming to London Apr 29-May 2. Discover what's coming in data and AI—and how to implement it for your business. Save 20% on Gold, Silver, and Bronze passes with code KDNU until Friday, Mar 15.
CRM/Consumer analytics, health care, banking, finance, and science were the top sectors in 2018. The greatest increases were in mobile apps, investment, security, entertainment, and social policy, while fraud detection, retail, advertising, direct marketing, and social media saw the greatest declines.
In this tutorial, you will learn to implement Linear Regression for prediction using Numpy in detail and also visualize how the algorithm learns epoch by epoch. In addition to this, you will explore two layer Neural Networks.
Today we’re looking at a more general fake news problem: detecting fake news that is being spread on a social network. This is a summary of a recent paper which demonstrates why we should also look at the social context: the publishers and the users spreading the information!
This book provides a strong connection between the concepts in data science and process engineering needed to ensure better quality and takes you through a systematic approach to measure holistic quality with several case studies.
Strata Data Conference is coming to San Francisco Mar 25-28. Register by Friday, Mar 8, with the code FREEROOM, and you'll get a night at the Hilton Union Square on us (and 20% off Gold, Silver, and Bronze passes).
Here's a third set of 10 free books for machine learning and data science. Have a look to see if something catches your eye, and don't forget to check the previous installments for reading material while you're here.
In this post, the author shows how BERT can mimic a Bag-of-Words model. The visualization tool from Part 1 is extended to probe deeper into the mind of BERT, to expose the neurons that give BERT its shape-shifting superpowers.
We explain why state-of-the-art Deep Neural Networks can still recognize scrambled images perfectly well and how this helps to uncover a puzzlingly simple strategy that DNNs seem to use to classify natural images.
Self-Attention Generative Adversarial Networks (SAGAN; Zhang et al., 2018) are convolutional neural networks that use the self-attention paradigm to capture long-range spatial relationships in existing images to better synthesize new images.
Also: Deconstructing BERT: Distilling 6 Patterns from 100 Million Parameters; How to do Everything in Computer Vision; What no one will tell you about data science job applications; Python Data Science for Beginners
Start planning for PAW Healthcare 2019 in Las Vegas Jun 16-20 and get ready to hear excellent sessions and case studies across healthcare business operations and clinical applications. Save til Friday!
OpenAI recently released a very large language model called GPT-2. Controversially, they decided not to release the data or the parameters of their biggest model, citing concerns about potential abuse. Read this researcher's take on the issue.
StreamAnalytix is an Apache Spark based big data analytics and machine learning platform. It offers an intuitive visual development environment to rapidly build and operationalize batch + streaming applications, across industries, data formats, and use cases.
For every person who has a question relating to a data science job application, and asks it, there are ten people who have the same question, but don’t ask it. If you’re one of those ten, then this post is for you.
MobileNets are a family of mobile-first computer vision models for TensorFlow, designed to effectively maximize accuracy while being mindful of the restricted resources for an on-device or embedded application.