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January: All | Courses, Education | Meetings | News | Opinions | Top Stories, Tweets | Tutorials, Overviews | Webcasts & Webinars
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KDnuggets News: 2019 News | Schedule | Submissions | Archive
Top stories: Most viewed and Most shared
KDnuggets News: 2019 News | Schedule | Submissions | Archive
Latest:
Cartoon: Is this how you do the blockchain thing? - Jan 19, 2019.
Despite the increasing popularity of Blockchain, the concept remains hard to understand. Here is one attempt to explain it.- Why Ice Cream Is Linked to Shark Attacks – Correlation/Causation Smackdown - Jan 19, 2019.
Why are soda and ice cream each linked to violence? This article delivers the final word on what people mean by "correlation does not imply causation." 
SHRSS: Data Analytics Engineer [Davie, FL] - Jan 18, 2019.
SHRSS is seeking a Data Analytics Engineer in Davie, FL, to be responsible for coordinating the design, development, implementation, maintenance and support of data engineering solutions, predictive models and applications. This position requires SAS experience.- A startup: Data Scientist [Remote, US] - Jan 18, 2019.
A Startup is seeking a talented and highly motivated Data Scientist for a unique and exciting opportunity with a small team looking to build a sports wagering business. 
Webinar: 2019 AI Trends: Filtering the Noise - Jan 18, 2019.
Check out Dataiku's exclusive webinar on Feb 7, 11am EST, "2019 AI Trends: Filtering the Noise," featuring insights from Léo Drefus-Schmidt, Lead Data Scientist at Dataiku.- On Points Insights: Senior Python Developer with Big Data skills [Remote, US] - Jan 18, 2019.
Seeking a Senior Python Developer with Big Data skills (work remotely), to interpret internal or external business issues and recommend best practices, solve complex problems, and take a broad perspective to identify innovative solutions. - Voloridge: Quant Data Analyst [Jupiter, FL] - Jan 18, 2019.
We are seeking an enthusiastic, self-motivated Data Services Analyst to work collaboratively with our data scientists and our operations team to meet the Voloridge mission of delivering superior risk-adjusted returns using proprietary modeling techniques. - How to Monitor Machine Learning Models in Real-Time - Jan 18, 2019.
We present practical methods for near real-time monitoring of machine learning systems which detect system-level or model-level faults and can see when the world changes. 
Automated Machine Learning in Python - Jan 18, 2019.
An organization can also reduce the cost of hiring many experts by applying AutoML in their data pipeline. AutoML also reduces the amount of time it would take to develop and test a machine learning model.- Comparing Machine Learning Models: Statistical vs. Practical Significance - Jan 18, 2019.
Is model A or B more accurate? Hmm… In this blog post, I’d love to share my recent findings on model comparison. 
Why Applied MSc in Data Engineering? Data Engineers are in greater demand than Data Scientists - Jan 17, 2019.
2 graduate programmes now available at Data ScienceTech Institute in France: Applied MSc in Data Engineering Applied MSc in Data Science & Artificial Intelligence, with enterprise level certifications included in each. There is a 100% conversion to an internship and 90% to a job contract.
The Hundred-Page Machine Learning Book - Jan 17, 2019.
This book covers supervised and unsupervised learning, support vector machines, neural networks, ensemble methods, gradient descent, cluster analysis and dimensionality reduction, autoencoders and transfer learning, feature engineering and hyperparameter tuning.- Data Scientist’s Dilemma: The Cold Start Problem – Ten Machine Learning Examples - Jan 17, 2019.
We present an array of examples showcasing the cold-start problems in data science where the algorithms and techniques of machine learning produce the good judgment in model progression toward the optimal solution. - How to build an API for a machine learning model in 5 minutes using Flask - Jan 17, 2019.
Flask is a micro web framework written in Python. It can create a REST API that allows you to send data, and receive a prediction as a response. - BRP: Warranty Intelligence Analyst [Sturtevant, WI] - Jan 17, 2019.
BRP is seeking a Warranty Intelligence Analyst in Sturtevant, WI, to quickly make a significant impact by identifying product performance and quality issues that are negatively affecting customer satisfaction and product margin. - Interactive Brokers Group (IBG): Data Scientist [Greenwich, CT] - Jan 17, 2019.
The successful candidate will transform information into insight to drive our continued growth, and to understand how we can service our clients better. The data scientist role combines internal and external sources of data to paint a clear picture of who our clients are, and how they engage with our products and services. 
Top KDnuggets tweets, Jan 9-15: Never mind killer robots—here are six real #AI dangers to watch out for in 2019 - Jan 16, 2019.
Also: Jupyter Notebooks Advanced Tutorial; Math for Programmers; NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing; The Five Best Data Visualization Libraries- 10 Exciting Ideas of 2018 in NLP - Jan 16, 2019.
We outline a selection of exciting developments in NLP from the last year, and include useful recent papers and images to help further assist with your learning. - Webinar – QBE, Allstate and Arch MI discuss how AI is successfully winning customers hearts - Jan 16, 2019.
Whilst there are many barriers to implementing AI effectively to drive results across underwriting, customer service and claims, it is essential for winning and retaining customers in the future. Join this webinar and learn how. - Word Embeddings & Self-Supervised Learning, Explained - Jan 16, 2019.
There are many algorithms to learn word embeddings. Here, we consider only one of them: word2vec, and only one version of word2vec called skip-gram, which works well in practice. - Ontology and Data Science - Jan 16, 2019.
In simple words, one can say that ontology is the study of what there is. But there is another part to that definition that will help us in the following sections, and that is ontology is usually also taken to encompass problems about the most general features and relations of the entities which do exist. - KDnuggets™ News 19:n03, Jan 16: Top 10 Books on NLP and Text Analysis; End To End Guide For Machine Learning Projects - Jan 16, 2019.
Also: Why Vegetarians Miss Fewer Flights - Five Bizarre Insights from Data; 4 Myths of Big Data and 4 Ways to Improve with Deep Data; The Role of the Data Engineer is Changing; How to solve 90% of NLP problems: a step-by-step guide - Jump-start your data science career - Jan 15, 2019.
Build statistical and analytical expertise as well as the management and leadership skills necessary to implement high-level, data-driven decisions in Northwestern’s online Master of Science in Data Science program. Apply now! - FM Global: Senior Data Scientist — Artificial Intelligence [Johnston, RI] - Jan 15, 2019.
FM Global is seeking a Senior Data Scientist — Artificial Intelligence in Johnston, RI, focus on translating business needs into analytics, interpretation of analytics into business applications, advanced technologies and artificial intelligence solutions. - FM Global: Senior Data Scientist — Predictive Analytics [Johnston, RI] - Jan 15, 2019.
FM Global is seeking a Senior Data Scientist — Predictive Analytics in Johnston, RI, to focus on translating business needs into analytics, interpretation of analytics into business applications, advanced technologies and artificial intelligence solutions. - Math for Programmers - Jan 15, 2019.
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer. - How to go from Zero to Employment in Data Science - Jan 15, 2019.
We propose the quickest and surest way to go from zero experience to landing a job, either in data science generally, or specifically in a new programming language or a new technology. - The 6 Most Useful Machine Learning Projects of 2018 - Jan 15, 2019.
Let’s take a look at the top 6 most practically useful ML projects over the past year. These projects have published code and datasets that allow individual developers and smaller teams to learn and immediately create value. - Top Stories, Jan 7-13: The Five Best Data Visualization Libraries; Modern Deep Learning Techniques Applied to NLP - Jan 15, 2019.
Also: Top 10 Books on NLP and Text Analysis; Practical Apache Spark in 10 Minutes; The cold start problem: how to build your machine learning portfolio; Core Principles of Sustainable Data Science, Machine Learning and AI Product Development; 4 Myths of Big Data and 4 Ways to Improve with Deep Data 
The AI Conference returns to New York, Apr 15-18 – Special offer from KDnuggets - Jan 14, 2019.
Join the brightest minds in AI in NYC to learn best practices, hear intriguing case studies, and dive deep into the latest technologies. Best rate till Jan 25 and save extra 20% with code KDNUGGETS.- Data Analytics Certification or a Degree? - Jan 14, 2019.
The classic IT question: Which is better for your career, certs or a degree? The answer: Both. For your best shot at a successful data career, you need a degree and certs. Get the credentials you need and turn your career up a degree. Find out what WGU can offer you! - First sessions confirmed for PAW Industry 4.0 and DLW Munich 2019 – Super Early Bird rates available until Feb 1st - Jan 14, 2019.
Get your ticket now for PAW Industry 4.0 and DLW Munich, 6-7 May 2019, and enter a world full of Predictive Maintenance, Anomaly Detection, Risk Management, Internet of Things, Deep Learning, Machine Learning & many more related topics! - Top Active Blogs on AI, Analytics, Big Data, Data Science, Machine Learning – updated - Jan 14, 2019.
Stay up-to-date with the latest technological advancements using our extensive list of active blogs; this is a list of 100 recently active blogs on Big Data, Data Science, Data Mining, Machine Learning, and Artificial intelligence. - TU Dortmund: Research Assistant [Dortmund, Germany] - Jan 14, 2019.
TU Dortmund is seeking a Research Assistant in Dortmund, Germany, to research and publish in one of the key areas of: Machine Learning and Constrained Resources; Interactive Modeling; Curating and certification of very large data; Participation in transfer into business applications. - How to solve 90% of NLP problems: a step-by-step guide - Jan 14, 2019.
Read this insightful, step-by-step article on how to use machine learning to understand and leverage text. - End To End Guide For Machine Learning Projects - Jan 14, 2019.
Let’s imagine you are attempting to work on a machine learning project. This article will provide you with the step to step guide on the process that you can follow to implement a successful project. - Charter Solutions: Data Scientist [White Bear Lake, MN] - Jan 14, 2019.
Charter Solutions is seeking a Data Scientist in White Bear Lake, MN, to join a world-class team applying innovative analytic approaches to extremely complex problems in the areas of industrial internet (IoT), equipment performance management and customer’s building systems. - Why Vegetarians Miss Fewer Flights – Five Bizarre Insights from Data - Jan 12, 2019.
A frenzy of number-crunching is churning out a heap of insights that are colorful, sometimes surprising, and often valuable. We explain how this works, and investigate five bizarre discoveries found in data. - How to Remove Unfair Bias From Your AI - Jan 11, 2019.
In this live webinar, Jan 17 @ 11:00 am ET, Colin Priest, Senior Director of Product Marketing at DataRobot will discuss how to identify and correct bias in AI. - The SIAM Book Series on Data Science - Jan 11, 2019.
SIAM is soliciting manuscripts for its new book series on the mathematical and computational foundations of data science. - The year in AI/Machine Learning advances: Xavier Amatriain 2018 Roundup - Jan 11, 2019.
A summary of the main machine learning advances from 2018, including AI hype cooling down, interpretability, deep learning, NLP, and more. - Practical Apache Spark in 10 Minutes - Jan 11, 2019.
Check out this series of articles on Apache Spark. Each part is a 10 minute tutorial on a particular Apache Spark topic. Read on to get up to speed using Spark. - Pear Therapeutics: Data Scientist [San Francisco, CA] - Jan 11, 2019.
Pear Therapeutics is seeking a Data Scientist in San Francisco, CA, to analyze large and small datasets that include app activity, clinical assessment data, patient/support network engagement, and clinical claims streams in order to drive product development. - MS in Applied Data Science Online – which track is right for you? - Jan 10, 2019.
At Bay Path University, we'll provide you with a framework for working together regardless of your background and experience. That is why we created two tracks to complete the MS in Applied Data Science degree, which is right for you? - Biggest Deep Learning Summit – Special KDnuggets Offer - Jan 10, 2019.
At RE•WORK, the team are dedicating 2019 to keep up the high-quality events and to bring you the latest innovations & breakthroughs in AI. RE•WORK are offering a huge saving on all summit passes when you register with the discount code NEWYEAR. - Murmuration: Data Scientist [New York, NY] - Jan 10, 2019.
Murmuration is seeking a creative and endlessly inquisitive Data Scientist to join our team. You will be working hand-in-hand with our Director of Analytics to develop highly optimized predictive models from a large volume of regularly updated data. - Principles of Database Management: The Practical Guide to Storing, Managing and Analyzing Big and Small Data - Jan 10, 2019.
This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. - Explainable Artificial Intelligence - Jan 10, 2019.
We outline the necessity of explainable AI, discuss some of the methods in academia, take a look at explainability vs accuracy, investigate use cases, and more. - The Role of the Data Engineer is Changing - Jan 10, 2019.
The role of the data engineer in a startup data team is changing rapidly. Are you thinking about it the right way? - Python Patterns: max Instead of if - Jan 10, 2019.
I often have to loop over a set of objects to find the one with the greatest score. You can use an if statement and a placeholder, but there are more elegant ways! - Top KDnuggets tweets, Jan 02-08: 10 Free Must-Read Books for Machine Learning and Data Science - Jan 9, 2019.
Also: Papers with Code: A Fantastic GitHub Resource; Most Recommended #DataScience and #MachineLearning Books by Top MS programs;10 More Free Must-Read Books for ML and DS - [Webinar] Accelerating Machine Learning on Databricks - Jan 9, 2019.
In this webinar, we will cover some of the latest innovations brought into the Databricks Unified Analytics Platform for Machine Learning. - Top December Stories: Why You Shouldn’t be a Data Science Generalist - Jan 9, 2019.
Also: Common mistakes when carrying out machine learning and data science; Learning Machine Learning vs Learning Data Science; Here are the most popular Python IDEs / Editors; 10 More Must-See Free Courses for Machine Learning and Data Science. - New Online MS in Business Analytics from Drexel University - Jan 9, 2019.
With Drexel University’s online MS in Business Analytics program, you’ll be able to effectively analyze this data to give your company and yourself a competitive edge. - Industry leaders to speak at Mega-PAW, Las Vegas – June 16-20 - Jan 9, 2019.
Meet the stellar industry leaders speaking at Mega-PAW at Caesars Palace, Las Vegas, Jun 16-20, 2019. Don't forget to register! - 4 Myths of Big Data and 4 Ways to Improve with Deep Data - Jan 9, 2019.
There is a fundamental misconception that bigger data produces better machine learning results. However bigger data lakes / warehouses won’t necessarily help to discover more profound insights. It is better to focus on data quality, value and diversity not just size. "Deep Data" is better than Big Data. -
Top 10 Books on NLP and Text Analysis - Jan 9, 2019.
When it comes to choosing the right book, you become immediately overwhelmed with the abundance of possibilities. In this review, we have collected our Top 10 NLP and Text Analysis Books of all time, ranging from beginners to experts. - Core Principles of Sustainable Data Science, Machine Learning and AI Product Development: Research as a core driver - Jan 9, 2019.
Regardless of the size of your organisation, if you are developing machine learning or AI products, the core asset you have is a research professional, data scientist or AI scientist, regardless of their academic background. - KDnuggets™ News 19:n02, Jan 9: The cold start problem: how to build your machine learning portfolio; 5 Best Data Visualization Libraries - Jan 9, 2019.
Learn how to bootstrap your Machine Learning portfolio, which data visualization libraries to use, main approaches to ensemble learning, how to do text summarization, and check our special offers for leading analytics, AI, and Data Science events below. - Apply to NYU Stern’s MS in Business Analytics - Jan 8, 2019.
Do you want to achieve new, exciting educational and career goals? Consider NYU Stern MS in Business Analytics, a one-year, part-time graduate degree for experienced professionals. Apply by Feb 15 to start in May. - Do something for yourself in 2019 - Jan 8, 2019.
With Penn State's Master of Professional Studies in Data Analytics offered online through Penn State World Campus, you can evolve as a primary influencer who drives key business decisions. We are currently reviewing applications for summer and fall 2019! - 5 things that happened in Data Science in 2018 - Jan 8, 2019.
We review 5 things that happened in Data Science in 2018 and offer 20% discount on Reinforce AI Conference, Mar 20-22 in Budapest. - NYU Stern Fubon Center for Technology, Business and Innovation: Fubon Center Faculty Fellow [New York, NY] - Jan 8, 2019.
The Fubon Center for Technology, Business and Innovation at New York University’s Stern School of Business invites applications for a position as a Fubon Center Faculty Fellow, focusing on research in data science, data analytics, machine learning, artificial intelligence, and related topics. - A Non-Compromising Approach to Privacy-Preserving Personalized Services - Jan 8, 2019.
Could one even achieve both high privacy and high utility? Yes, and we explain how. -
NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing - Jan 8, 2019.
Trying to keep up with advancements at the overlap of neural networks and natural language processing can be troublesome. That's where the today's spotlighted resource comes in. - Top Stories, Dec 24 – Jan 6: The Essence of Machine Learning; Papers with Code: A Fantastic GitHub Resource for Machine Learning - Jan 8, 2019.
Also: A Guide to Decision Trees for Machine Learning and Data Science; The cold start problem: how to build your machine learning portfolio; Comparison of the Top Speech Processing APIs; Synthetic Data Generation: A must-have skill for new data scientists; Approaches to Text Summarization: An Overview - The Data Science Event You Need in 2019 - Jan 7, 2019.
MADS Can Help You Achieve Your 2019 Goals! Marketing Analytics and Data Science is coming to San Francisco, Apr 8-10. KDnuggets readers save 20% with VIP Code MADS19KDN. Register Today and Save! - Rev Summit for Data Science Leaders featuring Daniel Kahneman - Jan 7, 2019.
Rev features interactive sessions, Q&A with industry luminaries, poster sessions for interesting modeling techniques and accomplishments, and stimulating conversations about how to make data science an enterprise-grade capability. - The Five Best Data Visualization Libraries - Jan 7, 2019.
There are plenty of library options out there to make great visualizations. We outline five of the best, complete with code examples and explanations, that will enable you to create and build interactive visualizations. - Comparison of the Text Distance Metrics - Jan 7, 2019.
There are many different approaches of how to compare two texts (strings of characters). Each has its own advantages and disadvantages and is good only for a range of specific use cases. - Math for Machine Learning - Jan 4, 2019.
This ebook explains the math involved and introduces you directly to the foundational topics in machine learning. - Strata Data SF 2019 KDnuggets Offer - Jan 4, 2019.
Strata Data Conference is in San Francisco Mar 25-28. Best price for Strata San Francisco expires on Friday, Jan 11. KDnuggets readers can save an additional 20% on Gold, Silver, and Bronze passes with code KDNU (up to $849 on a Gold pass). - The cold start problem: how to build your machine learning portfolio - Jan 4, 2019.
This post outlines what makes a good machine leaning portfolio, with useful examples to help you begin to understand the type of project that gets noticed by big companies. - Southern Illinois University Edwardsville: Director of the Center for Predictive Analytics/(Associate) Professor of Mathematics and Statistics [Edwardsville, IL] - Jan 4, 2019.
Southern Illinois University Edwardsville (SIUE) is establishing the Center for Predictive Analytics (C-PAN), and is seeking an innovative, visionary director for the center who will provide centralized leadership in establishing research and educational initiatives across academic units at SIUE. - Maryville University: Business Intelligence Analyst [St. Louis, MO] - Jan 4, 2019.
The ideal candidate should be versed in hands-on problem solving to address strategic business questions, be comfortable in wrangling data in SQL Server and Excel and in creating data models that are flexible for future use cases. - What to do when your training and testing data come from different distributions - Jan 4, 2019.
However, sometimes only a limited amount of data from the target distribution can be collected. It may not be sufficient to build the needed train/dev/test sets. What to do in such a case? Let us discuss some ideas! - Improve your AI and Machine Learning skills at AI NEXTCon in Seattle, Jan 23-27 - Jan 3, 2019.
If you are a developer looking to hone your skills, a tech lead and manager to learn latest AI tech that apply to your engineering teams to innovate products and services, or someone who just wants to learn more about the AI industry that's re-shaping the tech world, the AI NEXTCon is right for you. - Ensemble Learning: 5 Main Approaches - Jan 3, 2019.
We outline the most popular Ensemble methods including bagging, boosting, stacking, and more. - Approaches to Text Summarization: An Overview - Jan 3, 2019.
This article will present the main approaches to text summarization currently employed, as well as discuss some of their characteristics. - KDnuggets™ News 19:n01, Jan 3: The Essence of Machine Learning; A Guide to Decision Trees for Machine Learning and Data Science - Jan 3, 2019.
Also: 10 More Must-See Free Courses for Machine Learning and Data Science; Top Python Libraries in 2018 in Data Science, Deep Learning, Machine Learning; Feature engineering, Explained; Papers with Code: A Fantastic GitHub Resource for Machine Learning; BERT: State of the Art NLP Model, Explained - The Backpropagation Algorithm Demystified - Jan 2, 2019.
A crucial aspect of machine learning is its ability to recognize error margins and to interpret data more precisely as rising numbers of datasets are fed through its neural network. Commonly referred to as backpropagation, it is a process that isn’t as complex as you might think. - Top KDnuggets tweets, Dec 19 – Jan 1: Deep Learning Cheat Sheets - Jan 2, 2019.
Also: Machine Learning Cheat Sheets; Papers with Code: A Fantastic GitHub Resource for Machine Learning; Neural network AI is simple. So… Stop pretending you are a genius; Top Python Libraries in 2018 in Data Science, Deep Learning and Machine Learning - 3 More Google Colab Environment Management Tips - Jan 2, 2019.
This is a short collection of lessons learned using Colab as my main coding learning environment for the past few months. Some tricks are Colab specific, others as general Jupyter tips, and still more are filesystem related, but all have proven useful for me. - Good Feature Building Techniques and Tricks for Kaggle - Dec 31, 2018.
A selection of top tips to obtain great results on Kaggle leaderboards, including useful code examples showing how best to use Latitude and Longitude features. -
Papers with Code: A Fantastic GitHub Resource for Machine Learning - Dec 31, 2018.
Looking for papers with code? If so, this GitHub repository, a clearinghouse for research papers and their corresponding implementation code, is definitely worth checking out. - Center for Ultrasound Research and Translation, Massachusetts General Hospital: Post-Doctoral Scholar / Research Scientist [Boston, MA] - Dec 31, 2018.
The Center for Ultrasound Research and Translation, Massachusetts General Hospital is seeking a Post-Doctoral Scholar / Research Scientist to work collaboratively with a highly motivated and collegial team of physicians, clinical researchers, computer scientists, and engineers to solve important medical problems. - Comparison of the Top Speech Processing APIs - Dec 28, 2018.
There are two main tasks in speech processing. First one is to transform speech to text. The second is to convert the text into human speech. We will describe the general aspects of each API and then compare their main features in the table. - Manning Countdown to 2019 – Big Deals on AI, Data Science, Machine Learning books and videos - Dec 28, 2018.
Introducing the Manning countdown to 2019, where each day you’ll be able to get a different one day deal on some of their biggest books and video courses. - Supervised Learning: Model Popularity from Past to Present - Dec 28, 2018.
An extensive look at the history of machine learning models, using historical data from the number of publications of each type to attempt to answer the question: what is the most popular model? - The Essence of Machine Learning - Dec 28, 2018.
And so now, as an exercise in what may seem to be semantics, let's explore some 30,000 feet definitions of what machine learning is.