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December: All | Courses, Education | Meetings | News | Opinions | Top Stories, Tweets | Tutorials, Overviews | Webcasts & Webinars
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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:
Four Real-Life Machine Learning Use Cases - Dec 13, 2018.
This ebook will walk you through four use cases for Machine Learning on Databricks, covering loan risk, advertising analytics and predictive use case, market basket analysis, suspicious behaviour identification in video use, and more.
MINDBODY: Business Intelligence Analyst II [San Luis Obispo, CA] - Dec 13, 2018.
MINDBODY is seeking a Business Intelligence Analyst II in San Luis Obispo, CA, to enable analytic insights that inform and influence operational strategies and business decisions across the MINDBODY Sales organization.
State of Deep Learning and Major Advances: H2 2018 Review - Dec 13, 2018.
In this post we summarise some of the key developments in deep learning in the second half of 2018, before briefly discussing the road ahead for the deep learning community.
Are you ready to tackle the data-driven revolution? - Dec 13, 2018.
Get a Master's degree in Business Analytics combined with an International MBA from one of Europe's top 10 best business schools.- Solve any Image Classification Problem Quickly and Easily - Dec 13, 2018.
This article teaches you how to use transfer learning to solve image classification problems. A practical example using Keras and its pre-trained models is given for demonstration purposes. - Cummins: Reliability Analytics Leader [Columbus, IN] - Dec 13, 2018.
Cummins is seeking a Reliability Analytics Leader in Columbus, IN, to be responsible for support and enhancement of current Reliability Analytics tools, and lead development of next generation analytical tools. - Cummins: Data Engineering Technical Specialist [Columbus, IN] - Dec 13, 2018.
Cummins is seeking a Data Engineering Technical Specialist in Columbus, IN, to develop high tech solutions that will fuel your advanced career skill set and empower you to own your career. - Cummins: Data Engineering Apps and Solutions Architect [Columbus, IN] - Dec 13, 2018.
Cummins is seeking a Data Engineering Apps and Solutions Architect in Columbus, IN, to focus on the specific Architecture, tools and environment optimization for the Data Engineering team within the Advanced Analytics organization and applied to Cummins standards worldwide. 
Top KDnuggets tweets, Dec 5-11: How to build a data science project from scratch; NeurIPS 2018 video talk collection #NeurIPS2018 - Dec 12, 2018.
Also 50+ Data Structure and Algorithms Interview Questions for Programmers; Feature Selection Techniques in Machine Learning with Python.
Healthcare and Automated Machine Learning 101: How Healthcare Providers Can Adopt AI - Dec 12, 2018.
AI, machine learning, and automated machine learning are transforming the healthcare industry and helping to solve some of today’s biggest healthcare challenges. In this DataRobot webinar, Dec 17, 1 PM EST, learn how AI technologies can help healthcare providers improve operational efficiency and patient experience.- Cummins: Advanced Analytics Systems Architect Principle [Columbus, IN] - Dec 12, 2018.
Cummins is seeking a Advanced Analytics Systems Architect Principle in Columbus, IN, to be accountable for the Architectural design of Advanced Analytics System inclusive of the Data Engineering, Data Science, Compute infrastructure and BI/Visualization and reporting components. 
Four Approaches to Explaining AI and Machine Learning - Dec 12, 2018.
We discuss several explainability techniques being championed today, including LOCO (leave one column out), permutation impact, and LIME (local interpretable model-agnostic explanations).- Cummins: Advanced Analytics Platform Principle Engineer [Columbus, IN] - Dec 12, 2018.
Cummins is seeking a Advanced Analytics Platform Principle Engineer in Columbus, IN, to be responsible for the overall design performance and quality of the Advanced Analytics compute environment running the data science and analytics algorithms and the data engineering pipelines feeding multiple business processes and tools. - Intuit: Staff Data Scientist – Business Analytics [Mountain View, CA] - Dec 12, 2018.
Intuit is seeking a Staff Data Scientist - Business Analytics in Mountain View, CA, to be responsible for identifying opportunities to use customer driven analytics to drive growth and improved decision making in Intuit’s Small Business Division. - Intuit: Staff Data Scientist [Mountain View, CA] - Dec 12, 2018.
Intuit is seeking a Staff Data Scientist in Mountain View, CA, to perform hands-on data analysis and modeling with huge data sets, and apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Intuit: Staff Experimentation Data Scientist [Mountain View, CA] - Dec 12, 2018.
Intuit is seeking a Staff Experimentation Data Scientist in Mountain View, CA. In this role you will drive experimentation process improvement and automation to dramatically transform the way in which we allocate customers to experiments and manage delivery of experiments that drive decision making. - Keras Hyperparameter Tuning in Google Colab Using Hyperas - Dec 12, 2018.
In this post, I will show you how you can tune the hyperparameters of your existing keras models using Hyperas and run everything in a Google Colab Notebook. - KDnuggets™ News 18:n47, Dec 12: Common mistakes when doing machine learning; Here are the most popular Python IDEs / Editors - Dec 12, 2018.
Common mistakes when carrying out machine learning and data science; Most popular Python IDEs/Editors; Machine Learning / AI Main Developments in 2018 and Key Trends for 2019; Machine Learning Project checklist. - A Machine Learning Deep Dive [Webinar, Dec 13] - Dec 11, 2018.
Learn how ShopRunner uses Databricks on AWS and Snowflake to tackle data science problems across personalization, recommendations, targeting, and analysis of text and images. - Intuit: Staff Data Scientist [Woodland Hills, CA and Mountain View, CA] - Dec 11, 2018.
Intuit is seeking a Staff Data Scientist in Woodland Hills, CA and Mountain View, CA. This role will oversee the design, development, deployment and management of batch and real-time fraud and credit risk models for both onboarding and monitoring purposes. - Intuit: Staff Data Scientist [Mountain View, CA] - Dec 11, 2018.
Intuit is seeking a Staff Data Scientist in Mountain View, CA. This role teams up with our credit strategy and data engineering teams closely to develop innovative credit models for our QuickBooks Financing products. - Top November Stories: The Most in Demand Skills for Data Scientists; What is the Best Python IDE for Data Science? - Dec 11, 2018.
Also: To get hired as a data scientist, don't follow the herd; 10 Free Must-See Courses for Machine Learning and Data Science. - CBH Group: Sr Data Scientist [Perth, Australia] - Dec 11, 2018.
CBH Group is seeking a Sr Data Scientist in Perth, Australia. The Senior Data Scientist role will be an integral member of the operations team developing sophisticated decision based algorithmic models. - CBH Group: Data Scientist [Perth, Australia] - Dec 11, 2018.
CBH Group is seeking a Data Scientist in Perth, Australia. This role will be responsible for developing data driven software solutions to assist decision making across trading desks. - Machine Learning & AI Main Developments in 2018 and Key Trends for 2019 - Dec 11, 2018.
As we bid farewell to one year and look to ring in another, KDnuggets has solicited opinions from numerous Machine Learning and AI experts as to the most important developments of 2018 and their 2019 key trend predictions. - P&G: Data Scientist – Machine Learning/NLP [Cincinnati, OH] - Dec 11, 2018.
P&G is seeking a Data Scientist - Machine Learning/NLP in Cincinnati, OH. In this role you will have multiple projects on which you will leverage machine learning tools to solve these types of problems. - Automated Web Scraping in R - Dec 11, 2018.
How to automatically web scrape periodically so you can analyze timely/frequently updated data. - Learning Machine Learning vs Learning Data Science - Dec 11, 2018.
We clarify some important and often-overlooked distinctions between Machine Learning and Data Science, covering education, scalable vs non-scalable jobs, career paths, and more. - Introduction to Named Entity Recognition - Dec 11, 2018.
Named Entity Recognition is a tool which invariably comes handy when we do Natural Language Processing tasks. Read on to find out how. 
Expand Your Data Science Knowledge with Hands-on Labs and Bootcamp - Dec 10, 2018.
Elevate your data skills with hands-on labs and bootcamp at TDWI Las Vegas, Feb 10-15. Super Early Bird ends Dec 14. KDnuggets readers save up to $915 with code KD20!- Math for Machine Learning - Dec 10, 2018.
This ebook explains the math involved and introduces you directly to the foundational topics in machine learning. - Should you become a data scientist? - Dec 10, 2018.
An overview of the current situation for data scientists, from its origins and history, to the recent growth in job postings, and looking at what changes the future might bring. - How Different are Conventional Programming and Machine Learning? - Dec 10, 2018.
When I heard about Machine Learning I couldn't contain the amazement. I was not able to get my mind around the fact, that unlike normal software programs - which I was accustomed to - I wouldn't even have to teach a computer the "how" in detail about all the future scenarios up front. - Top Stories, Dec 3-9: Common mistakes when carrying out machine learning and data science; AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019 - Dec 10, 2018.
Also: Data Science Projects Employers Want To See: How To Show A Business Impact; The Machine Learning Project Checklist; Here are the most popular Python IDEs / Editors; The Machine Learning Project Checklist - Dr. Data Show Video: Five Reasons Computers Predict When You’ll Die - Dec 8, 2018.
Death prediction is a very morbid topic indeed — but a very practical one. So how does it work? What technological sorcery is at play? And how accurate is it? And, gee whiz, what's it used for? -
Here are the most popular Python IDEs / Editors - Dec 7, 2018.
We report on the most popular IDE and Editors, based on our poll. Jupyter is the favorite across all regions and employment types, but there is competition for no. 2 and no. 3 spots. - Take a Look at Looker, Demo/Webinar Dec 13 - Dec 7, 2018.
Looker is designed for those building the next generation of data applications and analytic workflows. Join us for a live demonstration on Dec 13 - XGBoost on GPUs: Unlocking Machine Learning Performance and Productivity - Dec 7, 2018.
On Dec 18, 11:00 AM PT, join NVIDIA for a technical deep dive into GPU-accelerated machine learning, to exploring the benefits of XGBoost on GPUs and much more. - A comprehensive list of Machine Learning Resources: Open Courses, Textbooks, Tutorials, Cheat Sheets and more - Dec 7, 2018.
A thorough collection of useful resources covering statistics, classic machine learning, deep learning, probability, reinforcement learning, and more. - The Machine Learning Project Checklist - Dec 7, 2018.
In an effort to further refine our internal models, this post will present an overview of Aurélien Géron's Machine Learning Project Checklist, as seen in his bestselling book, "Hands-On Machine Learning with Scikit-Learn & TensorFlow." - One-stop-learning-shop for data pros – get exclusive access for less than a cup of coffee - Dec 6, 2018.
TDWI Membership is the one-stop-learning-shop for data professionals, providing the necessary tools to move your career forward. Join in December for less than a cup of coffee. - DATAx Presents: AI AND MACHINE LEARNING TRENDS IN 2019 - Dec 6, 2018.
This free Ebook from DATAx offers advice on using AI and machine learning to enhance customer satisfaction, how chief data officers are taking the reins on AI strategy, successful case studies from across the business, and more. -
Common mistakes when carrying out machine learning and data science - Dec 6, 2018.
We examine typical mistakes in Data Science process, including wrong data visualization, incorrect processing of missing values, wrong transformation of categorical variables, and more. Learn what to avoid! - Explainable Artificial Intelligence (Part 2) – Model Interpretation Strategies - Dec 6, 2018.
The aim of this article is to give you a good understanding of existing, traditional model interpretation methods, their limitations and challenges. We will also cover the classic model accuracy vs. model interpretability trade-off and finally take a look at the major strategies for model interpretation. - Four Techniques for Outlier Detection - Dec 6, 2018.
There are many techniques to detect and optionally remove outliers from a dataset. In this blog post, we show an implementation in KNIME Analytics Platform of four of the most frequently used - traditional and novel - techniques for outlier detection. - The Quick Python Book - Dec 5, 2018.
Written for programmers new to Python, this latest edition includes new exercises throughout. It covers features common to other languages concisely, while introducing Python's comprehensive standard functions library and unique features in detail. - Top KDnuggets tweets, Nov 28 – Dec 4: Deep Learning Cheat Sheets; Amazon opens its internal #machinelearning courses to all for free - Dec 5, 2018.
Also: 7 Things You Need To Stop Doing To Be More Productive; #scikit-learn is used by 48% of @Kaggle champions, #Tensorflow by 16%, Keras by 14%; Linking Data Science Activities to Business Initiatives Using the Hypothesis Development Canvas - How to build a data science project from scratch - Dec 5, 2018.
A demonstration using an analysis of Berlin rental prices, covering how to extract data from the web and clean it, gaining deeper insights, engineering of features using external APIs, and more. - 6 Step Plan to Starting Your Data Science Career - Dec 5, 2018.
When people want to launch data science careers but haven't made the first move, they're in a scenario that's understandably daunting and full of uncertainty. Here are six steps to get started. - Kick Start Your Data Career! Tips From the Frontline - Dec 5, 2018.
I am going to provide very interesting and useful tips through this blog series which will help students to kick start their career in Data. - KDnuggets™ News 18:n46, Dec 5: AI, Data Science, Analytics 2018 Main Developments, 2019 Key Trends; Deep Learning Cheat Sheets - Dec 5, 2018.
Also: Best Machine Learning languages, Data Visualization Tools, DL Frameworks, and Big Data Tools; How to Build a Machine Learning Team When You Are Not Google or Facebook; A Complete Guide to Choosing the Best Machine Learning Course; Handling Imbalanced Datasets in Deep Learning - Data Mining Book – Chapter Download - Dec 4, 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. - Open Source Data Science Adoption: The How & Why - Dec 4, 2018.
Get the report on Enterprise Open Source Data Science Adoption which outlines the most popular open source tools for a host of jobs. Free download. - Data Science Projects Employers Want To See: How To Show A Business Impact - Dec 4, 2018.
The best way to create better data science projects that employers want to see is to provide a business impact. This article highlights the process using customer churn prediction in R as a case-study. - Handling Imbalanced Datasets in Deep Learning - Dec 4, 2018.
It’s important to understand why we should do it so that we can be sure it’s a valuable investment. Class balancing techniques are only really necessary when we actually care about the minority classes. - Why Primary Research? - Dec 4, 2018.
Primary studies have always been a strength of marketing research. Many younger marketing researchers, however, have only been exposed to standardized ready-made research products or big data. This is a concern. What is the point of the word research in marketing research? - Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: December and Beyond - Dec 3, 2018.
Coming soon: DataX New York, AI-2018 Cambridge UK, AI NEXTCon Seattle, Deep Learning Summit San Francisco, EGC France, H2O San Francisco, Business Of Bots Business of Bots San Francisco, TDWI Las Vegas, WSDM Melbourne, and more. - AI, Data Science, Analytics Main Developments in 2018 and Key Trends for 2019 - Dec 3, 2018.
Review of 2018 and Predictions for 2019 from our panel of experts, including Meta Brown, Tom Davenport, Carla Gentry, Bob E Hayes, Cassie Kozyrkov, Doug Laney, Bill Schmarzo, Kate Strachnyi, Ronald van Loon, Favio Vazquez, and Jen Underwood. - Monash University: Research Fellow (Bioinformatics) [Melbourne, Australia] - Dec 3, 2018.
Monash University is seeking a Research Fellow (Bioinformatics) in Melbourne, Australia. You will be involved in planning experiments, the final analysis and visualisation of results as well as analysing data from multiple technology platforms. - Get ahead of your peers with a Certificate in Business Analytics - Dec 3, 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. - Ronin: Data Engineer [San Mateo, CA] - Dec 3, 2018.
Ronin is seeking a Data Engineer in San Mateo, CA. As one of the first engineers to join the Data Platform Team, you will be developing complex distributed streaming systems to ingest and process varied and huge amounts of data arriving from and delivered to our partner healthcare systems. - Ronin: Sr Machine Learning and AI Data Scientist [San Mateo, CA] - Dec 3, 2018.
Ronin is seeking a Sr Machine Learning and AI Data Scientist in San Mateo, CA, where you will have a unique opportunity to help build our Machine Learning and AI function from the ground up. - Graph-Powered Machine Learning - Dec 3, 2018.
This book from Manning Publications is a wonderful introduction to graphs for machine learning enthusiasts, as well as a great entrée into machine learning for graph experts. - Best Machine Learning languages, Data Visualization Tools, DL Frameworks, and Big Data Tools - Dec 3, 2018.
We cover a variety of topics, from machine learning to deep learning, from data visualization to data tools, with comments and explanations from experts in the relevant fields. - Top Stories, Nov 26 – Dec 2: Deep Learning Cheat Sheets; A Complete Guide to Choosing the Best Machine Learning Course - Dec 3, 2018.
Also: A Complete Guide to Choosing the Best Machine Learning Course; My secret sauce to be in top 2% of a Kaggle competition; Deep Learning for the Masses ( and The Semantic Layer); What is the Best Python IDE for Data Science?; 9 Must-have skills you need to become a Data Scientist, updated - Tribes.ai: Sr Data Scientist [Remote, India / Eastern Europe] - Nov 30, 2018.
Tribes.ai is seeking a Sr Data Scientist to work remotely in India or Eastern Europe, who is passionate about building models, machine learning and data visualization to help us develop and launch a new cutting edge product in the HR Analytics / Human Capital Management (HCM) space. - Interpretability is crucial for trusting AI and machine learning - Nov 30, 2018.
We explain what exactly interpretability is and why it is so important, focusing on its use for data scientists, end users and regulators. - Introducing the First AI / Machine Learning Course With a Job Guarantee - Nov 30, 2018.
Springboard is focused on filling the gaps in the current job market and helping people around the world achieve their career goals through accessible, flexible, lifelong learning. You will find a job within six months of completing the course. If you don’t, they will refund your tuition. - A Complete Guide to Choosing the Best Machine Learning Course - Nov 30, 2018.
A collection of the best courses covering machine learning concepts and techniques, including supervised and unsupervised learning, and hands-on modeling to develop algorithms and prepare you for the role of Machine Learning Engineer. - University of Tennessee Knoxville: Assistant or Associate Professor in Data Science [Knoxville, TN] - Nov 30, 2018.
The University of Tennessee Knoxville's Department of Business Analytics and Statistics at the Haslam College of Business invites applications for multiple tenure-track positions in Data Science. Review of applications will begin immediately and continue until positions are filled. - Yeshiva University: Data Science Program Director [New York, NY] - Nov 30, 2018.
Yeshiva University is seeking a Data Science Program Director in New York, NY, to provide transformative direction and oversight with a commitment to excellence in teaching, research and community, oversee curriculum development, academic policies, and much more. - Deep Learning for the Masses (… and The Semantic Layer) - Nov 30, 2018.
Deep learning is everywhere right now, in your watch, in your television, your phone, and in someway the platform you are using to read this article. Here I’ll talk about how can you start changing your business using Deep Learning in a very simple way. But first, you need to know about the Semantic Layer. - WPI: Research Scientist [Worcester, MA] - Nov 30, 2018.
WPI is seeking a Research Scientist in Worcester, MA. We seek to hire a research data scientist to join our research team, which includes faculty, several graduate students and a postdoctoral researcher, for the DARPA-sponsored Warfighter Analytics using Smartphones for Health (WASH) project. - Variational Autoencoders Explained in Detail - Nov 30, 2018.
We explain how to implement VAE - including simple to understand tensorflow code using MNIST and a cool trick of how you can generate an image of a digit conditioned on the digit. - Serve yourself. The Next-Generation of Data Analytics. Dec 6 Webinar - Nov 29, 2018.
We walk thru the evolution of BI and how new technologies have paved the way for modern data platforms like Looker that can serve the data needs of an entire company. - Combating Customer Churn with AI - Nov 29, 2018.
Businesses today can use the power of AI to help determine which customers are more likely to churn, and what actions to take to keep them. In this DataRobot webinar on Dec 10 @ 1 PM EST, learn how to combat customer churn with AI. - Free ebook: Exploring Data with Python - Nov 29, 2018.
This free eBook starts building your foundation in data science processes with practical Python tips and techniques for working and aspiring data scientists. - Linking Data Science Activities to Business Initiatives Using the Hypothesis Development Canvas - Nov 29, 2018.
The Hypothesis Development Canvas is an effective and concise tool that integrates the different elements of the “Thinking Like A Data Scientist” process into a single document. - Top KDnuggets tweets, Nov 21-27: Intro to #DataScience for Managers – a mindmap; An Introduction to #AI - Nov 28, 2018.
Also: An Introduction to #AI; Intuitively Understanding Convolutions for #DeepLearning; 10 Free Must-See Courses for Machine Learning and Data Science. - DATAx Cyber Monday Extended – 40% off all summit tickets with CYBER40 - Nov 28, 2018.
Take advantage of our EXTENDED cyber Monday offer of 40% off all two-day passes and free access to all 5 tracks of the DATAx New York Festival. Use the code CYBER40. - 8 Reasons to Take Data Analytics Certification Courses - Nov 28, 2018.
We outline some of the benefits of taking data analytics classes, including the huge job opportunities, the current gap in the market, the salary aspect, the flexibility of working in any sector, and more. - How to Build a Machine Learning Team When You Are Not Google or Facebook - Nov 28, 2018.
If you don’t have a clear application for machine learning, you’re going to regret your investment. We provide tips on how to go about setting up your machine learning team - no matter the size of your business. - Sales Forecasting Using Facebook’s Prophet - Nov 28, 2018.
In this tutorial we’ll use Prophet, a package developed by Facebook to show how one can achieve this. - Deep Learning Cheat Sheets - Nov 28, 2018.
Check out this collection of high-quality deep learning cheat sheets, filled with valuable, concise information on a variety of neural network-related topics. - KDnuggets™ News 18:n45, Nov 28: Your Favorite Python IDE/editor? Intro to Data Science for Managers - Nov 28, 2018.
Also: 6 Goals Every Wannabe Data Scientist Should Make for 2019; Using a Keras Long Short-Term Memory (LSTM) Model to Predict Stock Prices. - SQL, Python, and R in One Platform - Nov 27, 2018.
Stop jumping between applications. Get a complete analytical toolkit. - What Python editors or IDEs you used the most in 2018? - Nov 27, 2018.
Vote in the new KDnuggets Poll - what are your favorite Python editors or IDEs? - Humana: Principal Data Scientist/Informatics Principal [Chicago, IL, Dallas, TX and Louisville, KY] - Nov 27, 2018.
Humana is seeking a Principal Data Scientist/Informatics Principal in Chicago, IL, Dallas, TX and Louisville, KY, to coordinate with other analytics, IT and business areas across the organization to ensure work is completed with insights from knowledge SMEs. - Making Machine Learning Accessible [Webinar Replay] - Nov 27, 2018.
Learn the business "why" and technical "how" for implementing machine learning in your organization - watch now. - Drexel University: 2 Teaching Faculty Positions in Data Science [Philadelphia, PA] - Nov 27, 2018.
Drexel University is seeking a 2 Teaching Faculty Positions in Data Science in Philadelphia, PA. The Department of Information Science invites applications for two full-time teaching faculty positions in Data Science. The college is advancing data science education through degree programs at multiple levels.