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September: All | Courses, Education | Meetings | News, Features | Opinions, Interviews | Top Stories, Tweets | Tutorials, Overviews | Webcasts & Webinars
Top stories: Most viewed and Most shared
KDnuggets News: 2018 News | Schedule | Submissions | Archive
Top stories: Most viewed and Most shared
KDnuggets News: 2018 News | Schedule | Submissions | Archive
Latest:
A Winning Game Plan For Building Your Data Science Team - Sep 18, 2018.
We need to understand the responsibilities, capabilities, expectations and competencies of the Data Engineer, Data Scientist and Business Stakeholder.
How to Put Active Learning to Work for Your Enterprise - Sep 17, 2018.
In this eBook from Figure Eight and AWS you'll learn what active learning is and how it works, the areas in which active learning can be particularly effective, and how active learning iteratively improves your model.
Webinar: How Google BigQuery and Looker Can Accelerate Your Data Science Workflow, Sep 19. - Sep 17, 2018.
Join Looker for this webcast, Sep 19, 2 PM EST, where you will learn how you can leverage Looker with the power of BigQuery Machine Learning (BQML) to build machine learning (ML) models directly where your data lives.
Join Microsoft, Google and Bilfinger at Deep Learning World – Berlin, 12 November - Sep 17, 2018.
Deep Learning World is coming to Berlin, Germany, Nov 12. Early bird rates until Sep 28. Register now!
Top Stories, Sep 10-16: Essential Math for Data Science: Why and How; Machine Learning Cheat Sheets - Sep 17, 2018.
Also: Hadoop for Beginners; Object Detection and Image Classification with YOLO; Journey to Machine Learning 100 Days of ML Code; Data Visualization Cheat Sheet; Neural Networks and Deep Learning: A Textbook- 10 Big Data Trends You Should Know - Sep 17, 2018.
A collection of Big Data trends to familiarize yourself with, covering IoT Networks, Artificial Intelligence, Predictive Analytics, Dark Data and more. - You Aren’t So Smart: Cognitive Biases are Making Sure of It - Sep 17, 2018.
Cognitive biases are tendencies to think in certain ways that can lead to systematic deviations from a standard of rationality or good judgment. They have all sorts of practical impacts on our lives, whether we want to admit it or not. - Top /r/MachineLearning posts, August 2018: Everybody Dance Now; Stanford class Machine Learning cheat sheets; Academic Torrents for sharing enormous datasets - Sep 15, 2018.
A range of interesting posts from the /r/MachineLearning Reddit group for the month of August, including: Everybody Dance Now; Stanford class Machine Learning cheat sheets; Academic Torrents; Getting Alexa to respond to sign language using TensorFlow; PyCharm IDE. - Whitepaper: Why Your Business Needs an AI Platform - Sep 14, 2018.
A new whitepaper from Anaconda examines the economic impact of AI, how some companies and industries are leveraging AI to generate business value today, and how Anaconda Enterprise serves as an AI enablement platform for organizations seeking to harness the power of AI at scale. - Ethics + Data Science - Sep 14, 2018.
How much has data changed our lives over the past decade? Former US Chief Data Scientist DJ Patil investigates. - The Growing Participation of Women in the Data Science Community - Sep 14, 2018.
We still have a long way to go before the gender representation becomes more equalized, but the field at large indicates hopeful trends about women working in the role or desiring to do so in the future. - See NVIDIA Deep Learning In Action [Webinar Series] - Sep 13, 2018.
Hear how three companies benefitted from the performance, simplicity and convenience of NVIDIA DGX Station to supercharge their deep learning development, infusing their products and services with the power of AI. 
MS in Applied Data Science Online – which track is right for you? - Sep 13, 2018.
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?- The Data Science of “Someone Like You” or Sentiment Analysis of Adele’s Songs - Sep 13, 2018.
An extensive analysis of Adele's songs using Natural Language Processing (NLP) on the lyrics, to uncover the underlying emotions and sentiments. - The Economics and Benefits of Artificial Intelligence - Sep 13, 2018.
In this article, focus on current AI, which is mostly based on the algorithms that can do predictions, and discuss how the economics of AI works and how it may affect business. 
Everything You Need to Know About AutoML and Neural Architecture Search - Sep 13, 2018.
So how does it work? How do you use it? What options do you have to harness that power today? Here’s everything you need to know about AutoML and NAS.
Pew Research Center: Director of Data Labs [Washington, DC] - Sep 13, 2018.
Pew Research Center is seeking a Director of Data Labs in Washington, DC. Strong candidates will have a track record of building partnerships and relationships with multiple stakeholders both inside and outside an organization.- Top KDnuggets tweets, Sep 5-11: 10 Free Must-Read Books for Machine Learning and Data Science - Sep 12, 2018.
Also: Data Science Cheat Sheet; Machine Learning Cheat Sheets; Journey to Machine Learning - 100 Days of ML Code. - ebook: Aggregating Data with Apache Spark™ - Sep 12, 2018.
Learn why cluster computing makes Spark the ideal processing engine for complex aggregations, the different types of aggregations that you can do with Spark, and more. - Top August Stories: Data Visualization Cheat Sheet; Basic Statistics in Python - Sep 12, 2018.
Also: Eight iconic examples of data visualisation; Data Scientist guide for getting started with Docker. -
Hadoop for Beginners - Sep 12, 2018.
An introduction to Hadoop, a framework that enables you to store and process large data sets in parallel and distributed fashion. - Iterative Initial Centroid Search via Sampling for k-Means Clustering - Sep 12, 2018.
Thinking about ways to find a better set of initial centroid positions is a valid approach to optimizing the k-means clustering process. This post outlines just such an approach. - KDnuggets™ News 18:n34, Sep 12: Essential Math for Data Science; 100 Days of Machine Learning Code; Drop Dropout - Sep 12, 2018.
Also: Neural Networks and Deep Learning: A Textbook; Don't Use Dropout in Convolutional Networks; Ultimate Guide to Getting Started with TensorFlow. - Örebro University: AI/Machine Learning Postdoc Researcher [Örebro, Sweden] - Sep 11, 2018.
Örebro University is seeking a Postdoc Researcher in Örebro, Sweden. The successful candidate will be working with selecting sensors as well as integrating and processing data from these. - SQL Server, Azure DB, BI, Data Analytics and more at PASS Summit 2018 - Sep 11, 2018.
PASS Summit 2018 is being held in Seattle, Nov 6-9. Register before Sep 22 to save $200. Secure your registration now! - Webinar: The Art and Science of Marketing Analytics, Sep 20 - Sep 11, 2018.
In this Looker webinar, Sep 20, 2 PM EST, you'll learn what is meant by operationalizing marketing data, how to track demand generation key performance metrics, and much more. - Key Takeaways from KDD 2018: a Deconfounder, Machine Learning at Pinterest, Knowledge Graph - Sep 11, 2018.
Highlights and key takeaways from KDD 2018, 24th ACM SIGKDD conference on Data Science and Data Mining: including what is a deconfounder, how Pinterest approaches Machine Learning, Knowledge Graph for Products, and Differential Privacy. -
Machine Learning Cheat Sheets - Sep 11, 2018.
Check out this collection of machine learning concept cheat sheets based on Stanord CS 229 material, including supervised and unsupervised learning, neural networks, tips & tricks, probability & stats, and algebra & calculus. - BJ’s Wholesale Club: Sr Data Scientist – Membership Analytics [Westborough, MA] - Sep 11, 2018.
BJ's Wholesale Club is seeking a Sr Data Scientist - Membership Analytics in Westborough, MA, to be responsible for leveraging BJ’s wealth of data using advanced statistical methods. - Machine Learning for Text Classification Using SpaCy in Python - Sep 11, 2018.
In this post, we will demonstrate how text classification can be implemented using spaCy without having any deep learning experience. - Mars: Sr Data Engineer [Chicago, IL or Mount Olive, NJ] - Sep 11, 2018.
Seeking industry leaders in Business Translation, Data Science and Data Engineering with different and complementary skills to influence how we operate and grow beyond anything we’ve achieved before. - Mars: Sr Data Scientist [Mount Olive, NJ or Chicago, IL] - Sep 11, 2018.
Inspiring the whole Mars business to adopt data driven decision-making by developing advanced analytics methods is huge in your role. - Sell Your Boss on TDWI Orlando, where
in-depth vendor-neutral analytics
+ data management training
= immediate impact - Sep 10, 2018.
Hey Boss, I was hoping to attend TDWI Orlando... Where in-depth vendor-neutral analytics + data management training = immediate impact, and I can save a lot with code KD20. - What is Web Scraping and Why You Should Learn It? - Sep 10, 2018.
Introducing Octoparse - a sleek, powerful and easy-to-use software that makes web scraping from any websites achievable for most people, including non-coders. - Webinar: How Google BigQuery and Looker Can Accelerate Your Data Science Workflow, Sep 19 - Sep 10, 2018.
Join Looker for this webcast, Sep 19, 2 PM EST, where you will learn how you can leverage Looker with the power of BigQuery Machine Learning (BQML) to build machine learning (ML) models directly where your data lives. - Object Detection and Image Classification with YOLO - Sep 10, 2018.
We explain object detection, how YOLO algorithm can help with image classification, and introduce the open source neural network framework Darknet. - Mars: Data Scientist [Chicago, IL or Mount Olive, NJ] - Sep 10, 2018.
Seeking industry leaders in Business Translation, Data Science and Data Engineering with different and complementary skills to influence how we operate and grow beyond anything we’ve achieved before. - Mars: Data Engineer [Chicago, IL or Mount Olive, NJ] - Sep 10, 2018.
Seeking industry leaders in Business Translation, Data Science and Data Engineering with different and complementary skills to influence how we operate and grow beyond anything we’ve achieved before. - Training with Keras-MXNet on Amazon SageMaker - Sep 10, 2018.
In this post, you will learn how to train Keras-MXNet jobs on Amazon SageMaker. I’ll show you how to build custom Docker containers for CPU and GPU training, configure multi-GPU training, pass parameters to a Keras script, and save the trained models in Keras and MXNet formats. - Top Stories, Sep 3-9: Essential Math for Data Science: Why and How; Journey to Machine Learning – 100 Days of ML Code - Sep 10, 2018.
Also: Neural Networks and Deep Learning: A Textbook; Essential Math for Data Science: Why and How; Deep Learning for NLP: An Overview of Recent Trends; 5 Resources to Inspire Your Next Data Science Project; Data Visualization Cheat Sheet - Webinar: Life as a Data Scientist, Sep 12 - Sep 8, 2018.
Watch Springboard webinar and learn everything from the hard skills to the soft skills aspiring data scientists need. Springboard Data Science Career Track now offers deferred tuition - learn more. - Webinar: The Value-Based Return on Creating a High-Quality Data Pipeline,
Sep 12 - Sep 7, 2018.
Learn why data quality and data integration are key to delivering meaningful, actionable results, and how to develop data and analytics strategies that offer visibility into healthcare cost and quality. - Wayfair: Senior Data Science Manager [Boston, MA] - Sep 7, 2018.
Wayfair is seeking a Senior Data Science Manager in Boston, MA. This particular role will focus on deep diving into a broad variety of exploratory initiatives around customer targeting. - Wayfair: Machine Learning Scientist [Boston, MA] - Sep 7, 2018.
Wayfair is seeking a Machine Learning Scientist in Boston, MA. As part of this role, you will be a creative thinker in how to solve problems, utilizing quantitative/technical skills along with business understanding to devise solutions. - Neural Networks and Deep Learning: A Textbook - Sep 7, 2018.
This book covers both classical and modern models in deep learning. The book is intended to be a textbook for universities, and it covers the theoretical and algorithmic aspects of deep learning. - Data Mining Book – Chapter Download. - Sep 7, 2018.
Download this immediately useful book chapter, and learn how to create derived variables, which allow the statistical and Data Science modeling to incorporate human insights. - Journey to Machine Learning – 100 Days of ML Code - Sep 7, 2018.
A personal account from Machine Learning enthusiast Avik Jain on his experiences of #100DaysOfMLCode, a challenge that encourages beginners to code and study machine learning for at least an hour, every day for 100 days. - 5 Things to Know About A/B Testing - Sep 7, 2018.
This article presents 5 things to know about A/B testing, from appropriate sample sizes, to statistical confidence, to A/B testing usefulness, and more. - The AI Conference in London – Exclusive KDnuggets Offer - Sep 6, 2018.
The O'Reilly AI Conference comes to London, Oct 8-11. Register now and save an additional 20% on Gold, Silver, and Bronze passes with the code KDN20. - Ultimate Guide to Getting Started with TensorFlow - Sep 6, 2018.
Including video and written tutorials, beginner code examples, useful tricks, helpful communities, books, jobs and more - this is the ultimate guide to getting started with TensorFlow. - Essential Math for Data Science: ‘Why’ and ‘How’ - Sep 6, 2018.
It always pays to know the machinery under the hood (even at a high level) than being just the guy behind the wheel with no knowledge about the car. - Data Science Cheat Sheet - Sep 6, 2018.
Check out this new data science cheat sheet, a relatively broad undertaking at a novice depth of understanding, which concisely packs a wide array of diverse data science goodness into a 9 page treatment. - Worcester Polytechnic Institute: Assistant Professor of Data Science [Worcester, MA] - Sep 6, 2018.
Worcester Polytechnic Institute is seeking a Assistant Professor of Data Science in Worcester, MA to join the strong team of existing data science faculty working on interdisciplinary research related to big data on real-world grand challenge problems with societal impact. - Amazon: Sr. Data Science Manager [Seattle, WA] - Sep 6, 2018.
Amazon is seeking a Sr. Data Science Manager in Seattle, WA who is well-rounded, a perpetual student, a skilled communicator, a trusted advisor, an inventor at heart, and a fearless explorer. - Top KDnuggets tweets, Aug 29 – Sep 4: #DataScience Cheat Sheet; AI Knowledge Map: How To Classify AI Technologies - Sep 5, 2018.
Also: Data Visualization Cheat Sheet; AI Knowledge Map: How To Classify AI Technologies; Comparison of the Most Useful Text Processing APIs - ODSC Europe 30% Ends Friday + ODSC West Schedule Update - Sep 5, 2018.
Last chance to save 30% off door prices ends Friday at midnight! ODSC Europe comes to London, Sep 19-22, co-located with Accelerate AI. Check out the recent schedule updates for ODSC West, Oct 31-Nov 3 in San Francisco. - The Forrester Wave™: Notebook-Based Predictive Analytics And Machine Learning Solutions, Q3 2018 - Sep 5, 2018.
Read this report to understand the top nine Predictive Analytics and Machine Learning solution providers in the market, and Forrester's 24-criteria evaluation of their strengths and weaknesses. - Don’t Use Dropout in Convolutional Networks - Sep 5, 2018.
If you are wondering how to implement dropout, here is your answer - including an explanation on when to use dropout, an implementation example with Keras, batch normalization, and more. - Deep Learning for NLP: An Overview of Recent Trends - Sep 5, 2018.
A new paper discusses some of the recent trends in deep learning based natural language processing (NLP) systems and applications. The focus is on the review and comparison of models and methods that have achieved state-of-the-art (SOTA) results on various NLP tasks and some of the current best practices for applying deep learning in NLP. - KDnuggets™ News 18:n33, Sep 5: Practical Topic Modeling with Python; Classifying AI Technologies; Data Science Project Inspiration - Sep 5, 2018.
Also: An End-to-End Project on Time Series Analysis and Forecasting with Python; Financial Data Analysis - Data Processing 1: Loan Eligibility Prediction; OLAP queries in SQL: A Refresher; Word Vectors in Natural Language Processing: Global Vectors (GloVe) - JPMorgan: Data Scientist – Treasury data+design team [New York, NY or Tampa, FL] - Sep 4, 2018.
JPMorgan is seeking a Data Scientist – Treasury data+design team in New York, NY or Tampa, FL, to perform at the leading edge inside the company driving change. - Monash University: Academic Opportunities AI-Based Discrete Optimization Research Group [Melbourne, Australia] - Sep 4, 2018.
Monash University is seeking candidates for Academic Opportunities in their AI-Based Discrete Optimization Research Group in Melbourne, Australia, to help shape the future of Discrete Optimisation for energy, transport, health and many other application domains. - What on earth is data science? - Sep 4, 2018.
An overview and discussion around data science, covering the history behind the term, data mining, statistical inference, machine learning, data engineering and more. - 5 Resources to Inspire Your Next Data Science Project - Sep 4, 2018.
In this post, my intention is provide some useful tips and resources to springboard you into your next data science project. - Financial Data Analysis – Data Processing 1: Loan Eligibility Prediction - Sep 4, 2018.
In this first part I show how to clean and remove unnecessary features. Data processing is very time-consuming, but better data would produce a better model. - Predictive Analytics World – Highlight Sessions from Alibaba, Uber, The Washington Post - Sep 3, 2018.
The 2018 Predictive Analytics World Highlight Sessions for London, Oct 17-18, have just been announced! - Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: September and Beyond - Sep 3, 2018.
Coming soon: AI San Francisco, Big Data Innovation Boston, Strata NYC, INFORMS Seattle, SAS Analytics Experience San Diego, PAW Gov DC, Cypher Bangalore, ECML/PKDD Dublin, ODSC London, and many more. - OLAP queries in SQL: A Refresher - Sep 3, 2018.
Based on the recent book - Principles of Database Management - The Practical Guide to Storing, Managing and Analyzing Big and Small Data - this post examines how OLAP queries can be implemented in SQL. - An End-to-End Project on Time Series Analysis and Forecasting with Python - Sep 3, 2018.
Time series are widely used for non-stationary data, like economic, weather, stock price, and retail sales in this post. We will demonstrate different approaches for forecasting retail sales time series. - Top Stories, Aug 27-Sep 2: Data Visualization Cheat Sheet; Topic Modeling with LSA, PLSA, LDA & lda2Vec - Sep 3, 2018.
Also: AI Knowledge Map: How To Classify AI Technologies; How to Make Your Machine Learning Models Robust to Outliers; Linear Regression In Real Life; 5 Data Science Projects That Will Get You Hired in 2018 - Cartoon: Labor Day in the year 2050 - Sep 2, 2018.
KDnuggets cartoon looks at how Labor Day can change in the year 2050. - Three Ways Big Data and Machine Learning Reinvent Online Video Experience - Aug 31, 2018.
With traditional TV viewing on the decline, we discuss several ways Big Data and Machine Learning can assist with online video, including redefining user recommendations, improving video buffering and leveraging MAM orchestration. -
AI Knowledge Map: How To Classify AI Technologies - Aug 31, 2018.
What follows is then an effort to draw an architecture to access knowledge on AI and follow emergent dynamics, a gateway of pre-existing knowledge on the topic that will allow you to scout around for additional information and eventually create new knowledge on AI. - Register for Chief Analytics Officer, Fall in Boston, Oct 8-11 – join data and analytics leaders - Aug 30, 2018.
Join data and analytics leaders at CAO Fall in Boston, Oct 8-11, the platform to guide you through transformation and help you innovate within your business. KDnuggets readers save $100 on your pass using discount code KDNUGGETS100. - Self-Service Data Prep Tools vs Enterprise-Level Solutions? 6 Lessons Learned - Aug 30, 2018.
A detailed comparison between self-service data preparation tools and enterprise-level solutions, covering business strategy, accessible tools and solutions and more. - Optimus v2: Agile Data Science Workflows Made Easy - Aug 30, 2018.
Looking for a library to skyrocket your productivity as Data Scientist? Check this out! -
Topic Modeling with LSA, PLSA, LDA & lda2Vec - Aug 30, 2018.
This article is a comprehensive overview of Topic Modeling and its associated techniques. - Top KDnuggets tweets, Aug 22-28: AI Knowledge Map: How To Classify AI Technologies; 100 Days of #MachineLearning Coding with #Python - Aug 29, 2018.
Also 25 fun questions for a machine learning interview; Data Visualization Cheat Sheet - Skip the Interview! 9 Benefits of Career Fairs - Aug 29, 2018.
Career fairs are a great way to get your feet wet if you’re just starting your data science career, or to be exposed to newer trends and emerging organizations if you’re already established. What other ways are career fairs beneficial? - Word Vectors in Natural Language Processing: Global Vectors (GloVe) - Aug 29, 2018.
A well-known model that learns vectors or words from their co-occurrence information is GlobalVectors (GloVe). While word2vec is a predictive model — a feed-forward neural network that learns vectors to improve the predictive ability, GloVe is a count-based model. - Deploying scikit-learn Models at Scale - Aug 29, 2018.
Find out how to serve your scikit-learn model in an auto-scaling, serverless environment! Today, we’ll take a trained scikit-learn model and deploy it on Cloud ML Engine. - Charles River Analytics: Software Engineer – Web [Cambridge, MA] - Aug 29, 2018.
Charles River Analytics is seeking a Software Engineer - Web in Cambridge, MA, to join a top-notch team of software engineers and scientists designing and developing user-centered web-based and desktop applications for both DoD and commercial customers. - KDnuggets™ News 18:n32, Aug 29: Data Visualization Cheat Sheet; Auto-Keras, or Deep Learning Model in 4 Lines of Code - Aug 29, 2018.
KDnuggets News took a break last week, so this issue is doubly full of Data Science goodness. Check Data Visualization Cheat Sheet, see how to do Deep Learning in just 4 lines, learn about Emotion and Sentiment analysis, check 16 other interesting tutorials, and may be you know someone who can fill any of 16 jobs below. - Learn from the experts at Google Brain, UC Berkley, Adobe Research & FAIR - Aug 28, 2018.
The World's Biggest Deep Learning Summit is returning to San Francisco in January 2019. Use code SUMMER for an additional 25% off the Super Early Bird Ticket rate by September 7. - Top Considerations for Selecting a Real-time Streaming Analytics Platform - Aug 28, 2018.
Information on how to download this whitepaper, which provides a view into how streaming data analytics is different from traditional analytics and thus have unique data processing needs that translate into absolute must-haves for the streaming analytics platform. - Linear Regression In Real Life - Aug 28, 2018.
A helpful guide to Linear Regression, using an example of a friends road trip to Las Vegas to highlight how it can be used in a real life situation. - How to Make Your Machine Learning Models Robust to Outliers - Aug 28, 2018.
In this blog, we’ll try to understand the different interpretations of this “distant” notion. We will also look into the outlier detection and treatment techniques while seeing their impact on different types of machine learning models. - Are Vectorized Random Number Generators Actually Useful? - Aug 28, 2018.
I reported that you can multiply the speed of common (fast) random number generators such as PCG and xorshift128+ by a factor of three or four by vectorizing them using SIMD instructions. Is this actually useful in practice? - Nvidia: AI Training for Self-Driving Vehicles [On-demand Webinar] - Aug 27, 2018.
We discuss the key considerations in selecting the optimal AI infrastructure required to train deep neural networks for safe self-driving systems, including data requirements and computing performance needed, and how to use NVIDIA DGX-1 for training autonomous vehicles. - The Deadly Dozen & Data Science for Managers – Outstanding Workshops at Predictive Analytics World for Government - Aug 27, 2018.
Predictive Analytics World for Government, Sep 18-19, Washington DC, is a practically-focused, vendor neutral conference that highlights case studies and emerging trends of how government agencies are currently using data analytics to solve real world problems.