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KDnuggets News: 2018 News | Schedule | Submissions | Archive
Top stories: Most viewed and Most shared
KDnuggets News: 2018 News | Schedule | Submissions | Archive
Latest:
SuperDataScience Podcast: Insights from the Founder of KDnuggets - Jul 21, 2018.
I talk to Kirill Eremenko about my journey to data science, how KDnuggets started, why you should start honing your machine learning engineering skills at this very moment, what's the future of data science, and more.
Ready your Skills for a Cloud-First World with Google - Jul 20, 2018.
The Machine Learning with TensorFlow on Google Cloud Platform Specialization on Coursera will help you jumpstart your career, includes hands-on labs, and takes you from a strategic overview to practical skills in building real-world, accurate ML models.- Chaos is needed to keep us smart with Machine Learning - Jul 20, 2018.
This post analyses why the chaotic nature of our lives can be used to improve machine learning algorithms. - Causation in a Nutshell - Jul 20, 2018.
Every move we make, every breath we take, and every heartbeat is an effect that is caused. Even apparent randomness may just be something we cannot explain. 
Receiver Operating Characteristic Curves Demystified (in Python) - Jul 20, 2018.
In this blog, I will reveal, step by step, how to plot an ROC curve using Python. After that, I will explain the characteristics of a basic ROC curve.
Charles River Analytics: Software Engineer – Physiological Sensing and Machine Learning - Jul 20, 2018.
Seeking an engineer experienced in signal processing, time series analysis, and/or machine learning who can contribute to the development of software aimed at interpreting information provided by wearable devices such as Fitbits and iWatches.- Charles River Analytics: Full Stack Software Engineer - Jul 20, 2018.
Seeking a Full Stack Software Engineer to work with a team of scientists and engineers to enhance our state-of-the-art user-centered enterprise system for members of the U.S. Armed Forces. - Charles River Analytics: Software Engineer III – React.js Developer for Streaming Data Visualization - Jul 20, 2018.
Seeking an experienced React.js developer to join a top-notch team of software engineers and data scientists developing web-based solutions for both DoD and commercial customers. 
Products for Product People: Best Practices in Analytics, July 24 Webinar - Jul 19, 2018.
Learn product analytics best practices and the "meta" perspective from a practitioner who is building products that anybody, including product managers, can use to access, analyze, and act on data to make important decisions.
Strata New York: Early Price ends July 27 - Jul 19, 2018.
Strata Data Conference is coming to New York September 11-13. Register today. Your last chance to save up to $679 on passes ends July 27.- compstak: Jr Data Analyst - Jul 19, 2018.
Seeking talented full time data analysts to help us improve our data pipeline in order to ensure high quality and better scalability. This includes data extraction, preprocessing, augmentation, and verification projects. - The ultimate list of Web Scraping tools and software - Jul 19, 2018.
Here's your guide to pick the right web scraping tool for your specific data needs. - Best (and Free!!) Resources to Understand Nuts and Bolts of Deep Learning - Jul 19, 2018.
This blog is however not addressing the absolute beginner. Once you have a bit of intuition about how Deep Learning algorithms work, you might want to understand how things work below the hood. - Charles River Analytics: Software Engineer II – React.js Developer for Streaming Data Visualization - Jul 19, 2018.
Seeking a React.js developer to join a top-notch team of software engineers and data scientists developing web-based solutions for both DoD and commercial customers. - Charles River Analytics: Sr Software Engineer – Intelligent Systems - Jul 19, 2018.
Seeking an experienced and enthusiastic Senior Software Engineer to design and develop cutting-edge intelligent systems applied to areas such as intelligent tutoring, serious games, crowdsourcing, skill modeling and assessment, and advanced visualization. - Explaining the 68-95-99.7 rule for a Normal Distribution - Jul 19, 2018.
This post explains how those numbers were derived in the hope that they can be more interpretable for your future endeavors. - Charles River Analytics: Software Engineer II – Intelligent Systems - Jul 19, 2018.
Seeking an experienced and enthusiastic Software Engineer to design and develop cutting-edge intelligent systems applied to areas such as intelligent tutoring, serious games, crowdsourcing, skill modeling and assessment, and advanced visualization. 
Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence - Jul 18, 2018.
This ebook explains the math involved and introduces you directly to the foundational topics in machine learning.
Top KDnuggets tweets, Jul 11-17: Foundations of Machine Learning – A Bloomberg course; The 5 Clustering Algorithms Data Scientists Need to Know - Jul 18, 2018.
Also: Bayesian Machine Learning, Explained; Is Google Tensorflow Object Detection API the Easiest Way to Implement Image Recognition?; Data Science of Variable Selection: A Review; 7 Steps to Understanding Deep Learning- Efficient Graph-based Word Sense Induction - Jul 18, 2018.
This paper describes a set of algorithms for Natural Language Processing (NLP) that match or exceed the state of the art on several evaluation tasks, while also being much more computationally efficient. - 5 Quick and Easy Data Visualizations in Python with Code - Jul 18, 2018.
This post provides an overview of a small number of widely used data visualizations, and includes code in the form of functions to implement each in Python using Matplotlib. - Clustering Using K-means Algorithm - Jul 18, 2018.
This article explains K-means algorithm in an easy way. I’d like to start with an example to understand the objective of this powerful technique in machine learning before getting into the algorithm, which is quite simple. - Charles River Analytics: Software Engineer I – Intelligent Systems - Jul 18, 2018.
Seeking an enthusiastic Software Engineer to design and develop cutting-edge intelligent systems applied to areas such as intelligent tutoring, serious games, crowdsourcing, and skill modeling and assessment. - Charles River Analytics: Software Engineer III – Cesium.js Developer - Jul 18, 2018.
Seeking an experienced Cesium.js developer to join a top-notch team of software engineers and data scientists developing web-based solutions for both DoD and commercial customers. - Charles River Analytics: Software Engineer III – AI Engineer - Jul 18, 2018.
Seeking an experienced and enthusiastic Software Engineer to design and develop cutting-edge intelligent systems applied to areas such as intelligent tutoring, serious games, crowdsourcing, skill modeling and assessment, and advanced visualization. - KDnuggets™ News 18:n27, Jul 18: Data Scientist was the sexiest job until…; Text Mining on the Command Line; Does PCA Really Work? - Jul 18, 2018.
Also: What is Minimum Viable (Data) Product?; Beating the 4-Year Slump: Mid-Career Growth in Data Science; GDPR after 2 months - What does it mean for Machine Learning?; Basic Image Data Analysis Using Numpy and OpenCV; fast.ai Deep Learning Part 2 Complete Course Notes - NYU Stern MS in Business Analytics – Apply Now - Jul 17, 2018.
Gain expertise in emerging operations, marketing, network analytics, data modeling, data science, and visualization. Next application deadline is Aug 1. - Charles River Analytics: Software Engineer – Human Machine Interface Design - Jul 17, 2018.
Seeking a Software Engineer to work closely with small teams of scientists, software engineers, and subject matter experts, using modern technologies, to design and develop cutting edge information visualizations, human automation teaming methodologies, and novel display interfaces. - Charles River Analytics: Software Engineer - Jul 17, 2018.
Seeking a junior to mid-level Software Engineer that loves to write clean and concise code that gets the job done. - Choosing the Right Marketing Technology Stack, July 25 Webinar - Jul 17, 2018.
We will discuss ways to think about your marketing stack that help you stay focused on today's goals, while planning for tomorrow's growth. - Basic Image Data Analysis Using Numpy and OpenCV, Part 2 - Jul 17, 2018.
We explain how to easily access and manipulate the internal components of digital images using Python and give examples from satellite image processing. - BigQuery vs Redshift: Pricing Strategy - Jul 17, 2018.
In this blog post, we’re going to break down BigQuery vs Redshift pricing structures and see how they work in detail. - fast.ai Deep Learning Part 2 Complete Course Notes - Jul 17, 2018.
This posts is a collection of a set of fantastic notes on the fast.ai deep learning part 2 MOOC freely available online, as written and shared by a student. These notes are a valuable learning resource either as a supplement to the courseware or on their own. - Learn cutting edge techniques from world-class data scientists – RapidMiner Wisdom - Jul 16, 2018.
Learn cutting edge techniques from world-class data scientists, including keynote speaker Kirk Borne. Use code WIS199 for 20% off early bird pricing through July 31, 2018. - Key Takeaways from the Strata San Jose 2018 - Jul 16, 2018.
By dropping 'Hadoop' from its name, the @strataconf 2018 in San Jose signaled the emphasis on machine learning, cloud, streaming and real-time applications. - Beating the 4-Year Slump: Mid-Career Growth in Data Science - Jul 16, 2018.
This article provides a list of resources for data scientists who are transitioning from early-career/entry-level positions to more established roles. Surveys have shown a sharp decrease in satisfaction starting around 4 years into the profession, and resources are less obvious and readily available for professionals who have a good handle on the basics of data science than they are for beginners. - Beginners Ask “How Many Hidden Layers/Neurons to Use in Artificial Neural Networks?” - Jul 16, 2018.
By the end of this article, you could at least get the idea of how these questions are answered and be able to test yourself based on simple examples. - Top Stories, Jul 9-15: Analyze a Soccer (Football) Game Using Tensorflow Object Detection and OpenCV; Does PCA really improve classification outcome? - Jul 16, 2018.
Also: The 4 Levels of Data Usage in Data Science; fast.ai Deep Learning Part 1 Complete Course Notes; What is Minimum Viable (Data) Product?; Cartoon: Data Scientist was the sexiest job of the 21st century until...; Text Mining on the Command Line -
Cartoon: Data Scientist was the sexiest job of the 21st century until … - Jul 14, 2018.
This Data Scientist thought that he had the sexiest job of the 21st century until the arrival of the competition ... - Top June Stories: 5 Data Science Projects That Will Get You Hired in 2018; Data Lake – the evolution of data processing - Jul 13, 2018.
Also: Football World Cup 2018 Predictions: Germany vs Brazil in the final, and more; The 5 Clustering Algorithms Data Scientists Need to Know. - McKinsey Analytics Online Hackathon, July 20-22 - Jul 13, 2018.
Calling all coders and data scientists to join McKinsey's hackathon. Prize: 5,000 USD + NIPS (Montreal, Canada) + Flights + Accommodation. - The Future of Map-Making is Open and Powered by Sensors and AI - Jul 13, 2018.
This article investigates the future of map-making and the role of Sensors, Artificial Intelligence and Machine Learning within that. -
Text Mining on the Command Line - Jul 13, 2018.
In this tutorial, I use raw bash commands and regex to process raw and messy JSON file and raw HTML page. The tutorial helps us understand the text processing mechanism under the hood. - Dimensionality Reduction : Does PCA really improve classification outcome? - Jul 13, 2018.
In this post, I am going to verify this statement using a Principal Component Analysis ( PCA ) to try to improve the classification performance of a neural network over a dataset. - New eBook: Machine Learning for Fraud Prevention - Jul 12, 2018.
Get best practices on incorporating machine learning to automate your fraud prevention process and optimize workflows. Download this free ebook now. - 9+ Rising Stars of Data Science - Jul 12, 2018.
Connect and learn from these 9 data science rock stars and over 231 more presenters at ODSC West 2018, Oct 31-Nov 3 in San Francisco. Get 60% off until Friday, July 13 - reserve your spot here . - Apple: Jr. Instrumentation Data Scientist – Exploratory Design Group - Jul 12, 2018.
Seeking an enthusiastic engineer to collaborate with a R&D team of developing a new generation of bio-sensing technologies. The ideal candidate will have experience applying data analysis techniques to understand complex measurements. - What is Minimum Viable (Data) Product? - Jul 12, 2018.
This post gives a personal insight into what Minimum Viable Product means for Machine Learning and the importance of starting small and iterating. - AI Solutionism - Jul 12, 2018.
Machine learning has huge potential for the future of humanity — but it won’t solve all our problems. - Top KDnuggets tweets, Jul 4-10: Fantastic notes on the freely available @fastdotai machine learning course - Jul 11, 2018.
Also: Analyze a Soccer (Football) Game Using #Tensorflow Object Detection; 18 Inspiring Women In AI, Big Data, Data Science, Machine Learning; Timsort - the fastest #sorting #algorithm you've never heard of. - GDPR after 2 months – What does it mean for Machine Learning? - Jul 11, 2018.
Almost 2 months on from the GDPR introduction, how was machine learning affected? What does the future hold? - U. of Tartu: Junior Group Leader (Senior Research Fellow) in Data Analytics - Jul 11, 2018.
The successful applicant will create a new internationally competitive research group starting with a seed grant of 1.25 million euros over 5 years. - How to Balance the Load on a Data Team - Jul 11, 2018.
This post will help you to better understand a data team’s workflow and allocate their resources to business users. - KDnuggets™ News 18:n26, Jul 11: 5 Favorite Free Visualization Tools; SQL Cheat Sheet; Top 20 Python Libraries for Data Science - Jul 11, 2018.
Also Introduction to Apache Spark; fast.ai Machine Learning Course Notes; Cartoon: How is Data Science Different From Religion? - 10 Mistakes to Avoid When Adopting Advanced Analytics - Jul 10, 2018.
Download this report for a list of 10 mistakes to avoid when adopting advanced analytics, learn how you can improve your own implementation, and get a taste of premium membership. - Northeastern University: Data Science Director - Jul 10, 2018.
Primary responsibilities include teaching and overseeing all aspects of the professional MS program in Data Science. This is a full-time, benefits eligible, non-tenure track position. - A FREE Live Online Conference For Aspiring Data Scientists & Data-Curious Business Leaders - Jul 10, 2018.
Demystifying Data Science - a completely free, live online conference for aspiring data scientists and data-curious business professionals, July 24-25. Experience 28 interactive data science talks from industry-leading speakers. Register now! - HelloFresh: Senior Data Scientist - Jul 10, 2018.
To succeed, you will need a hunger for discovering information in massive amounts of data, an attitude towards experimentation and fluency in machine learning techniques and software engineering best practices. - Basic Image Data Analysis Using Numpy and OpenCV – Part 1 - Jul 10, 2018.
Accessing the internal component of digital images using Python packages becomes more convenient to understand its properties as well as nature. - Analyze a Soccer (Football) Game Using Tensorflow Object Detection and OpenCV - Jul 10, 2018.
For the data scientist within you let's use this opportunity to do some analysis on soccer clips. With the use of deep learning and opencv we can extract interesting insights from video clips - fast.ai Deep Learning Part 1 Complete Course Notes - Jul 10, 2018.
This posts is a collection of a set of fantastic notes on the fast.ai deep learning part 1 MOOC freely available online, as written and shared by a student. These notes are a valuable learning resource either as a supplement to the courseware or on their own. - Top Stories, Jul 2-8: 5 of Our Favorite Free Visualization Tools; SQL Cheat Sheet - Jul 10, 2018.
Also: 5 Data Science Projects That Will Get You Hired in 2018; Automated Machine Learning vs Automated Data Science. - Strategic Analytics Summit, Las Vegas, Sep 26-27 - Jul 9, 2018.
This Summit will bring together Big Data thought leaders, top business executives and analytics experts for two days of insights, learning and networking. Use code KDNU18 for 25% off. - Predictive Analytics World for Government – Sept 18-19 in Washington, DC – Save big if you register now - Jul 9, 2018.
The deadline to save with Early Bird prices to the 2018 Predictive Analytics World for Government conference in Washington DC is fast approaching. This means that when you register by Friday, August 3, you could save up to $800.00. - Deep Learning and Challenges of Scale Webinar - Jul 9, 2018.
Join Nvidia for an on-demand webinar to learn how to tackle the challenges of scaling and building complex deep learning systems. - Equity Residential: Data Scientist (Director, Data Analytics) - Jul 9, 2018.
Provide advanced analytic insight and thought leadership to support the needs of EQR senior executives and their teams; own the ongoing development and maintenance of a data warehouse of relevant internal and external data. - Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: July and Beyond - Jul 9, 2018.
Coming soon: ICDM/MLDM New York, Data Innovation Summits Las Vegas, ICML Stockholm, IJCAI/ECAI Stockholm, TDWI Anaheim, KDD-2018 London, JupyterCon NYC, and many more. - Data science of the connected vehicle: perspectives, applications and trends - Jul 9, 2018.
The application of data science to streaming data from vehicles is an emerging field. Here we review general trends and some specific examples of relevant data feeds and applications where data science can deliver value. - Data Mining Book Chapter Download - Jul 9, 2018.
Download this chapter by Gordon Linoff and Michael Berry, and learn how to create derived variables, which allow the statistical modeling process to incorporate human insights. - The 4 Levels of Data Usage in Data Science - Jul 9, 2018.
This is an overview of the 4 levels, or "buckets," of data usage in business, starting at monitoring and progressing to automation. - Cartoon: How is Data Science Different From Religion? - Jul 8, 2018.
This difference between Data Science and Religion is not what you expect ... - Weak and Strong Bias in Machine Learning - Jul 6, 2018.
With the arrival of the GDPR there has been increased focus on non-discrimination in machine learning. This post explores different forms of model bias and suggests some practical steps to improve fairness in machine learning. - Introduction to Apache Spark - Jul 6, 2018.
This is the first blog in this series to analyze Big Data using Spark. It provides an introduction to Spark and its ecosystem. - fast.ai Machine Learning Course Notes - Jul 6, 2018.
This posts is a collection of a set of fantastic notes on the fast.ai machine learning MOOC freely available online, as written and shared by a student. These notes are a valuable learning resource either as a supplement to the courseware or on their own. - The AI Conference in London – Exclusive KDNuggets Offer - Jul 5, 2018.
The AI Conference will premiere in London, 8–11 October. The Best Price expires on 13 July. Tutorials, training courses, and hotel rooms all book up quickly. Save and additional 20% on Gold, Silver and Bronze passes with the code KDN20. - 5 of Our Favorite Free Visualization Tools - Jul 5, 2018.
5 key free data visualization tools that can provide flexible and effective data presentation. - Manage your Machine Learning Lifecycle with MLflow – Part 1 - Jul 5, 2018.
Reproducibility, good management and tracking experiments is necessary for making easy to test other’s work and analysis. In this first part we will start learning with simple examples how to record and query experiments, packaging Machine Learning models so they can be reproducible and ran on any platform using MLflow. - Text Classification & Embeddings Visualization Using LSTMs, CNNs, and Pre-trained Word Vectors - Jul 5, 2018.
In this tutorial, I classify Yelp round-10 review datasets. After processing the review comments, I trained three model in three different ways and obtained three word embeddings. - Deep Learning Tips and Tricks - Jul 4, 2018.
This post is a distilled collection of conversations, messages, and debates on how to optimize deep models. If you have tricks you’ve found impactful, please share them in the comments below! - Overview and benchmark of traditional and deep learning models in text classification - Jul 3, 2018.
In this post, traditional and deep learning models in text classification will be thoroughly investigated, including a discussion into both Recurrent and Convolutional neural networks. - Deep Quantile Regression - Jul 3, 2018.
Most Deep Learning frameworks currently focus on giving a best estimate as defined by a loss function. Occasionally something beyond a point estimate is required to make a decision. This is where a distribution would be useful. This article will purely focus on inferring quantiles. - Data Retrieval and Cleaning: Tracking Migratory Patterns - Jul 3, 2018.
In this post, we walk through investigating, retrieving, and cleaning a real world data set. We will also describe the cost benefits and necessary tools involved in building your own data sets. - AI for Fraud Detection – How does Mastercard do it? Learn how global leaders use AI - Jul 2, 2018.
At the AI in Finance Summit, Sept 6-7 in NYC, RE•WORK we will be showcasing the latest breakthrough technologies & their application in the financial sector with topics including Financial Compliance, Financial Forecasting, NLP, Investment, Blockchain & more. - From Insights to Value in 90 Minutes – with Snowflake, July 12 Webinar - Jul 2, 2018.
Learn How to Accelerate Data Warehouse Modernization at a Low Cost. - SQL Cheat Sheet - Jul 2, 2018.
A good programmer or software developer should have a basic knowledge of SQL queries in order to be able retrieve data from a database. This cheat sheet can help you get started in your learning, or provide a useful resource for those working with SQL. - Why a Professional Association for Data Scientists is a Bad Idea - Jul 2, 2018.
This post presents the argument against having a professional association for data scientists. - Automated Machine Learning vs Automated Data Science - Jul 2, 2018.
Just by adding the term "automated" in front of these 2 separate, distinct concepts does not somehow make them equivalent. Machine learning and data science are not the same thing. - Top Stories, Jun 25 – Jul 1: 5 Data Science Projects That Will Get You Hired in 2018; 30 Free Resources for Machine Learning, Deep Learning, NLP & AI - Jul 2, 2018.
Also: Top 20 Python Libraries for Data Science in 2018; Why Data Scientists Love Gaussian; How to Execute R and Python in SQL Server with Machine Learning Services; Explaining Reinforcement Learning: Active vs Passive; What's the Difference Between Data Integration and Data Engineering? - KNIME Fall Summit in Austin, November 6-9, 2018 registrations now open! - Jun 29, 2018.
KNIME Fall Summit takes place Nov 6-9 in Austin, Texas. Registration is now open, and KDnuggets readers save 10% on top of early bird rates with code KDNUGGETS! - Modern Graph Query Language – GSQL - Jun 29, 2018.
This post introduces the prospect of fulfilling the need for a modern graph query language with GSQL