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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
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5 Key Takeaways from Strata London 2018 - Jun 19, 2018.
5 highlights and thoughts from my attendance to Strata London 2018.
Data Science Predicting The Future - Jun 19, 2018.
In this article we will expand on the knowledge learnt from the last article - The What, Where and How of Data for Data Science - and consider how data science is applied to predict the future.- Choosing the Right Metric for Evaluating Machine Learning Models — Part 2 - Jun 19, 2018.
This will focus on commonly used metrics in classification, why should we prefer some over others with context. - Natural Language Processing Nuggets: Getting Started with NLP - Jun 19, 2018.
Check out this collection of NLP resources for beginners, starting from zero and slowly progressing to the point that readers should have an idea of where to go next. 
Kent State University: Faculty Tenure-Track – Management and Information Systems - Jun 19, 2018.
Seeking qualified applicants for an open tenure-track position at the rank of Assistant/Associate Professor beginning Spring, 2019.- Institute for Defense Analyses (IDA): Research Analyst – Data Scientist - Jun 19, 2018.
Seeking a data scientist with expertise in machine learning and predictive analytics to join the Research Staff of the Cost Analysis and Research Division (CARD). 
Drexel Online MS in Data Science - Jun 18, 2018.
With emphasis Data Science and algorithm creation skills, you’ll graduate workplace-ready by having experience with the industry leading technology.- ZS Associates: Data Science Associate Consultant - Jun 18, 2018.
Seeking candidates to design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. - Every time someone runs a correlation coefficient on two time series, an angel loses their wings - Jun 18, 2018.
We all know correlation doesn’t equal causality at this point, but when working with time series data, correlation can lead you to come to the wrong conclusion. 
Top Stories, Jun 11-17: Data Lake – the evolution of data processing; Generating Text with RNNs in 4 Lines of Code - Jun 18, 2018.
Also: Cartoon: 5 Machine Learning Projects You Should Not Overlook, June 2018; FIFA World Cup Football and Machine Learning; The What, Where and How of Data for Data Science; Data Lake the evolution of data processing- Step Forward Feature Selection: A Practical Example in Python - Jun 18, 2018.
When it comes to disciplined approaches to feature selection, wrapper methods are those which marry the feature selection process to the type of model being built, evaluating feature subsets in order to detect the model performance between features, and subsequently select the best performing subset. - CVS: Application Developer, Rebates Forecasting - Jun 18, 2018.
Seeking a candidate to work in a team collaborative environment with application developers and BI developers to design and develop solutions for internally built analytical reporting applications using .NET platform. - CVS: Senior Advisor, Trend Analytics – Senior Solution Strategist – Finance - Jun 18, 2018.
Seeking a candidate for leading analytic solutions, including advanced modeling, reporting development, and data infrastructure improvements aimed at improving our financial and contracting performance. 
Cartoon: FIFA World Cup Football and Machine Learning - Jun 16, 2018.
In honor of 2018 FIFA World Cup in Football, we update our classic KDnuggets cartoon - what players can do when their moves are predicted by Machine Learning?
Train your team in latest in Analytics, Data, Machine Learning, and Strategy - Jun 15, 2018.
TDWI Anaheim takes place Aug 5-10. Register by Super Early Bird Deadline on Jun 22 to save up to $915 with priority code KD20. Teams save an EXTRA 10%. Register now!- CVS: Advisor, Retail Data Strategy Analytics - Jun 15, 2018.
Seeking an Advisor, Retail Data Strategy Analytics, to lead requirements gathering, data analysis, end to end quality and user acceptance testing planning and coordination. - CVS: Director, Retail Data Strategy Analytics - Jun 15, 2018.
Seeking a solid leader to help build out a new data strategy organization that is focused on retail pharmacy data assets at CVS Health. - How should I organize a larger data science team? - Jun 15, 2018.
VP of Data Science is asking opinions on how should he organize a larger Data Science team. - How to spot a beginner Data Scientist - Jun 15, 2018.
When beginning life as a data scientist, there are some clear signs that give it away... - Apple: Sr Software Engineer – Applied Machine Learning - Jun 15, 2018.
Seeking a Senior Software Engineer, to help build innovative software applications. You should have development and implementation experience on large scale critical applications. - IoT on AWS: Machine Learning Models and Dashboards from Sensor Data - Jun 15, 2018.
I developed my first IoT project using my notebook as an IoT device and AWS IoT as infrastructure, with this "simple" idea: collect CPU Temperature from my Notebook running on Ubuntu, send to Amazon AWS IoT, save data, make it available for Machine Learning models and dashboards. - Statistics, Causality, and What Claims are Difficult to Swallow: Judea Pearl debates Kevin Gray - Jun 15, 2018.
While KDnuggets takes no side, we present the informative and respectful back and forth as we believe it has value for our readers. We hope that you agree. 
3 Key Capabilities for Real-Time Data and Analysis Today, June 28 Webinar - Jun 14, 2018.
To educate IT and business stakeholders about the three key capabilities for succeeding with real-time analytics today.- Build an Anomaly Detection Project [Free Guidebook] - Jun 14, 2018.
Learn how to find value and insight in outliers in the latest anomaly detection guidebook by Dataiku, which includes use cases, and step-by-step guidance (including code samples) to starting an anomaly detection project. -
Data Lake – the evolution of data processing - Jun 14, 2018.
This post examines the evolution of data processing in data lakes, with a particular focus on the concepts, architecture and technology criteria behind them. - Taming LSTMs: Variable-sized mini-batches and why PyTorch is good for your health - Jun 14, 2018.
After reading this, you’ll be back to fantasies of you + PyTorch eloping into the sunset while your Recurrent Networks achieve new accuracies you’ve only read about on Arxiv. -
Generating Text with RNNs in 4 Lines of Code - Jun 14, 2018.
Want to generate text with little trouble, and without building and tuning a neural network yourself? Let's check out a project which allows you to "easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code." - Advice For Applying To Data Science Jobs - Jun 13, 2018.
A comprehensive guide to applying for a job in data science, covering the application, interview and offer stage. - How To Create Natural Language Semantic Search For Arbitrary Objects With Deep Learning - Jun 13, 2018.
An end-to-end example of how to build a system that can search objects semantically. - KDnuggets™ News 18:n23, Jun 13: Did Python declare victory over R?; Master the Netflix Interview; Deep Learning Projects DIY Style - Jun 13, 2018.
Also: Command Line Tricks For Data Scientists; How (dis)similar are my train and test data?; 5 Machine Learning Projects You Should Not Overlook, June 2018; Introduction to Game Theory; Human Interpretable Machine Learning - ebook: A Guide to Data Science at Scale - Jun 12, 2018.
Read our eBook to learn how easy it is to build and scale ML models with a unified analytics platform, how to collaborate across data teams to uncover insights faster, and more. Free download. - Which Data Profession Has The Highest Job Satisfaction? - Jun 12, 2018.
KDnuggets poll compares Machine Learning Engineer, Researcher, Data Scientist and other professions and identifies one with the highest job satisfaction. Job satisfaction usually starts high, but drops significantly after 4 years on the job. - The What, Where and How of Data for Data Science - Jun 12, 2018.
Here we will take data science apart and build it back up to a coherent and manageable concept. Bear with us! - A Better Stats 101 - Jun 12, 2018.
Statistics encourages us to think systemically and recognize that variables normally do not operate in isolation, and that an effect usually has multiple causes. Some call this multivariate thinking. Statistics is particularly useful for uncovering the Why. - 5 Machine Learning Projects You Should Not Overlook, June 2018 - Jun 12, 2018.
Here is a new installment of 5 more machine learning or machine learning-related projects you may not yet have heard of, but may want to consider checking out! - Empowering National Grid with Anaconda Enterprise - Jun 11, 2018.
With Anaconda Enterprise, National Grid was able to implement a more informed and cost-effective system that allowed for greater accuracy in modeling and predicting maintenance needs. Read the case study to learn more. - Online Data Science Education and Certificates from Statistics.com - Jun 11, 2018.
Apply online to The Institute for Statistics Education, the pioneer in online data science education. You can begin your online certificate right now - we offer rolling admission and introductory classes every month. Get started today! - Top May Stories: Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018; Data Science vs Machine Learning vs Data Analytics vs Business Analytics - Jun 11, 2018.
Also: Boost your data science skills. Learn linear algebra. 10 More Free Must-Read Books for Machine Learning and Data Science. - Why you need to improve your training data, and how to do it - Jun 11, 2018.
This article examines the way you need to improve your training data and how it can be accomplished, including speech commands, choosing the right data, picking a model fast and more. - Apple: Commerce Data Engineer – Apple Media Products - Jun 11, 2018.
Seeking someone with a love for data. You will cleanse, process, compute and organize various mission-critical data sets, should have a passion for quality and an ability to understand complex systems, and can architect innovative solutions. - Top Stories, Jun 4-10: Did Python declare victory over R?; The Keras 4 Step Workflow - Jun 11, 2018.
Also: Introduction to Game Theory (Part 1); Human Interpretable Machine Learning (Part 1) - The Need and Importance of Model Interpretation; DIY Deep Learning Projects; 10 More Free Must-Read Books for Machine Learning and Data Science - Packaging and Distributing Your Python Project to PyPI for Installation Using pip - Jun 11, 2018.
This tutorial will explain the steps required to package your Python projects, distribute them in distribution formats using steptools, upload them into the Python Package Index (PyPI) repository using twine, and finally installation using Python installers such as pip and conda. - Special KDnuggets offer for Strata NY - Jun 8, 2018.
See some of data’s most fascinating people, from data’s most successful companies, talking about data’s most intriguing problems, at Strata Data Conference in New York, Sep 11-13. Save an additional 20% with code KDNU. - DIY Deep Learning Projects - Jun 8, 2018.
Inspired by the great work of Akshay Bahadur in this article you will see some projects applying Computer Vision and Deep Learning, with implementations and details so you can reproduce them on your computer. - Drexel New Online MS in Business Analytics - Jun 7, 2018.
With Drexel University’s online MS in Business Analytics program, you’ll be able to effectively analyze this overlooked data to give your company and yourself a competitive edge. - How (dis)similar are my train and test data? - Jun 7, 2018.
This articles examines a scenario where your machine learning model can fail. - Netflix Data Science Interview Questions: Acing the AI Interview - Jun 7, 2018.
Gain some perspective on the Netflix interview process, and on ways to prepare for just such an industry interview. - Command Line Tricks For Data Scientists - Jun 7, 2018.
Aspiring to master the command line should be on every developer’s list, especially data scientists. Learning the ins and outs of your terminal will undeniably make you more productive. - Top KDnuggets tweets, May 30 – Jun 5: Notes from Coursera #DeepLearning courses by Andrew Ng; Finland offers free online #AI course - Jun 6, 2018.
Also: Who Is Going To Make Money In #AI?; Generative Adversarial Networks (GANs) in 50 lines of code (PyTorch); Learning from Imbalanced Classes; 10 More Free Must-Read Books for Machine Learning and Data Science - Best Practices in Data Visualization, continued - Jun 6, 2018.
Do your data visualizations need a reboot? Though data visualizations may be designed to facilitate understanding, not all graphs are effective. In this webcast, viewers will learn how to use best practices to give a graph a makeover. - The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R? - Jun 6, 2018.
We find 6 tools form the modern open source Data Science / Machine Learning ecosystem; examine whether Python declared victory over R; and review which tools are most associated with Deep Learning and Big Data. - Learn Business Analytics at Clark University – affordable excellence - Jun 6, 2018.
Move your career forward in one of the fields with the largest demand. Business Analytics at Clark University will give you the skills employers demand by teaching you how to synthesize data into powerful information. - The Statistics of Gang Violence - Jun 6, 2018.
For Carlos Carcach, Professor & Director, Center for Public Policy at the Escuela Superior de Economía y Negocios (ESEN) in Santa Tecla, El Salvador, gangs are an object of intellectual curiosity and the subject of his research. - Audience Segmentation - Jun 6, 2018.
The process of audience segmentation is not about just statistics, it’s about finding your ideal clients and choosing the right way of interaction with them. - Introduction to Game Theory (Part 1) - Jun 6, 2018.
Check out this game theory basics post for an introduction to Two-player Sequential games — Dominant Strategies, Nash Equilibrium, and Cooperation vs. Defection. - Human Interpretable Machine Learning (Part 1) — The Need and Importance of Model Interpretation - Jun 6, 2018.
A brief introduction into machine learning model interpretation. - KDnuggets™ News 18:n22, Jun 6: 10 More Free Must-Read Books for Machine Learning and Data Science; Beginner Guide to Data Science Pipeline - Jun 6, 2018.
Summer. Time to sit back and unwind. Or get your hands on some free machine learning and data science books and learn! Here is a great selection to get started. - NYU Stern MS in Business Analytics - Jun 5, 2018.
NYU Stern MS in Business Analytics provides experienced professionals with a unique and valuable data-driven business perspective. This 1 year, part-time program is divided into 5 onsite modules with online independent study in between. Apply now. - Football World Cup 2018 Predictions: Germany vs Brazil in the final, and more - Jun 5, 2018.
Looking ahead to the FIFA World Cup that kicks off this month (14th June), we have created the official KDnuggets predictions. - Europe Data Science Conference – KDnuggets Offer – ends Fri, 8 June - Jun 5, 2018.
Register for ODSC Europe 2018, leading Data Science conference in Europe - best rate ends June 8. Use code KDNuggets to save. - ioModel Machine Learning Research Platform – Open Source - Jun 5, 2018.
This article introduces ioModel, an open source research platform that ingests data and automatically generates descriptive statistics on that data. - Three techniques to improve machine learning model performance with imbalanced datasets - Jun 5, 2018.
The primary objective of this project was to handle data imbalance issue. In the following subsections, I describe three techniques I used to overcome the data imbalance problem. - Apple: Sr Software Engineer, Applied Machine Learning - Jun 5, 2018.
Seeking an energetic senior software engineer to help us develop, improve, and expand our cutting edge platform to ensure that the performance of our machine learning environment is second-to-none. - Gain a New Perspective on Your Customer Data at Wharton - Jun 4, 2018.
Are you using your customer data to its full advantage? Chances are the answer is no. Customer Analytics from Wharton Executive Education, Sep. 17–21, 2018, Philadelphia, gives you a deeper, actionable understanding of your data. - Big Data Toronto Brings Canada to the Centre Stage in Big Data and AI - Jun 4, 2018.
The Big Data Toronto conference and expo is back for its 3rd edition on Jun 12-13, 2018 at the Metro Toronto Convention Centre. Big Data focuses on the skills, software and leadership needed to implement data insights & AI Toronto is dedicated to Toronto’s growing AI and deep learning communities. - Resources For Women In Data Science and Machine Learning - Jun 4, 2018.
A comprehensive list of resources for Women in Data Science and Machine Learning, including a list of useful tech groups and published lists for finding Women speakers. - The Keras 4 Step Workflow - Jun 4, 2018.
In his book "Deep Learning with Python," Francois Chollet outlines a process for developing neural networks with Keras in 4 steps. Let's take a look at this process with a simple example. - Top Stories, May 28 – Jun 3: 10 More Free Must-Read Books for Machine Learning and Data Science; A Beginners Guide to the Data Science Pipeline - Jun 4, 2018.
Also: Descriptive analytics, machine learning, and deep learning viewed via the lens of CRISP-DM; On the contribution of neural networks and word embeddings in NLP; Improving the Performance of a Neural Network; Python eats away at R - Top 5 Priorities for an Analytics Leader, June 7 Webinar - Jun 1, 2018.
Learn how an analytics leader enables results with priorities that include evangelizing the importance of data-driven decision-making; aligning analytics with a business value-driven approach; and developing an analytics competency to train and develop staff. - Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: June 2018 and Beyond - Jun 1, 2018.
Coming soon: Mega-PAW Las Vegas, Spark + AI Summit SF, CogX London, Big Data Toronto Big Data Toronto Conference and Expo, ICDM/MLDM NYC, and many more. - How To Build Intelligent Dashboards Powered by Machine Learning - Jun 1, 2018.
In this webinar on Jun 5, 1:00 pm ET, analytics industry expert Jen Underwood will demonstrate how to visualize machine learning results with dashboard tools. - The Future of Artificial Intelligence: Is Your Job Under Threat? - Jun 1, 2018.
This article examines the rapid growth of artificial intelligence: how we got to this point, the future AI job market and what can be done. - Virginia Tech: Software Scientist, Machine Learning - Jun 1, 2018.
Seeking a software scientist with expertise in machine learning, to be actively involved in an interdisciplinary team who will help develop software frameworks and interact with community code developers including Software Fellows. - The Book of Why - Jun 1, 2018.
Judea Pearl has made noteworthy contributions to artificial intelligence, Bayesian networks, and causal analysis. These achievements notwithstanding, Pearl holds some views many statisticians may find odd or exaggerated. - University of Applied Sciences of Western Switzerland: Sr Research Data Scientist (Medical Scheduling) - Jun 1, 2018.
Seeking a senior research data scientist to participate in the "Optimizing Operating Rooms and Care Services using Deep Reinforcement Learning" project. - University of Applied Sciences of Western Switzerland: Sr Research Data Scientist (Fraud Detection) - Jun 1, 2018.
Seeking a senior research data scientist to participate to the AFFUT (Advanced Analytics for Fraud Detection) project. - Using Linear Regression for Predictive Modeling in R - Jun 1, 2018.
In this post, we’ll use linear regression to build a model that predicts cherry tree volume from metrics that are much easier for folks who study trees to measure. - The AI Conference returns to San Francisco, Sept 4–7, 2018 - May 31, 2018.
The AI Conference is coming to San Francisco Sept 4-7. It sold out last year, so make your plans soon. KDnuggets fans receive a 20% discount when you register (for most passes) using the code KDN20. - Make Your Models a Competitive Advantage - May 31, 2018.
The Model Management white paper, based on our experience working with hundreds of model-driven organizations, describes the reasons most organizations have not yet unlocked the transformative potential of models and provides a framework for success. - Overview of Dash Python Framework from Plotly for building dashboards - May 31, 2018.
Introduction to Dash framework from Plotly, reactive framework for building dashboards in Python. Tech talk covers basics and more advanced topics like custom component and scaling. - On the contribution of neural networks and word embeddings in Natural Language Processing - May 31, 2018.
In this post I will try to explain, in a very simplified way, how to apply neural networks and integrate word embeddings in text-based applications, and some of the main implicit benefits of using neural networks and word embeddings in NLP. - Yale School of Management: Assistant Professor of Marketing (Quantitative) - May 31, 2018.
Seeking applicants in the field of quantitative marketing for a tenure-track faculty position at the rank of Assistant Professor. - Top KDnuggets tweets, May 23-29: 10 More Free Must-Read Books for #MachineLearning and #DataScience - May 30, 2018.
Also: What is the Difference Between Deep Learning and “Regular” Machine Learning?; Top 20 R Libraries for Data Science in 2018; Understanding LSTM and its diagrams #NLProc - Virtual Training Events Without Leaving Your Desk - May 30, 2018.
Check out our lineup of upcoming virtual seminars, online learning courses, and customized training in your office. Space is limited, so reserve your seat early and score the best savings! - Interview: How Seagate Technology Makes Great Use of Deep Learning – Last Call to Register for Deep Learning World - May 30, 2018.
In anticipation of his upcoming conference co-presentation at Deep Learning World in Las Vegas, June 3-7, we asked Abbas Chokor, Staff Data Scientist at Seagate Technology, a few questions about his work in deep learning. - Memorial Sloan Kettering: Data Scientist - May 30, 2018.
Seeking a Data Scientist / Senior Strategic Analyst (Communications & Marketing) who will serve as a champion for data-driven decision making within Communications, particularly for programs to strengthen MSK’s relationships with physicians and partners, - Cartoon: GDPR first effect on Privacy - May 30, 2018.
New KDnuggets Cartoon examines the first unexpected effect of GDPR on Privacy. - Introduction to Content Personalization - May 30, 2018.
The basics of user experience and content personalization. The way to target your audience more precisely and effectively. - Improving the Performance of a Neural Network - May 30, 2018.
There are many techniques available that could help us achieve that. Follow along to get to know them and to build your own accurate neural network. - Deep Learning Summit, Toronto featuring Geoff Hinton – save with KDnuggets - May 29, 2018.
Geoffrey Hinton, one of the fathers of Deep Learning, will be back to share his most recent and cutting-edge research progressions, and will be joined by other top researchers. Save 20% on Early Bird passes when you sign up before 15 June w. code KDNUGGETS. Also check Women in AI dinner series and get new white paper on Ethical implications of AI.