Jun2018 Jul
All (44) | Courses, Education (1) | Meetings (6) | News, Features (4) | Opinions, Interviews (10) | Top Stories, Tweets (4) | Tutorials, Overviews (16) | Webcasts & Webinars (3)
- Cartoon: Data Scientist was the sexiest job of the 21st century until …
- Jul 14, 2018.
This Data Scientist thought that he had the sexiest job of the 21st century until the arrival of the competition ...
- Top June Stories: 5 Data Science Projects That Will Get You Hired in 2018; Data Lake – the evolution of data processing
- Jul 13, 2018.
Also: Football World Cup 2018 Predictions: Germany vs Brazil in the final, and more; The 5 Clustering Algorithms Data Scientists Need to Know.
- McKinsey Analytics Online Hackathon, July 20-22
- Jul 13, 2018.
Calling all coders and data scientists to join McKinsey's hackathon. Prize: 5,000 USD + NIPS (Montreal, Canada) + Flights + Accommodation.
- The Future of Map-Making is Open and Powered by Sensors and AI
- Jul 13, 2018.
This article investigates the future of map-making and the role of Sensors, Artificial Intelligence and Machine Learning within that.
- Text Mining on the Command Line
- Jul 13, 2018.
In this tutorial, I use raw bash commands and regex to process raw and messy JSON file and raw HTML page. The tutorial helps us understand the text processing mechanism under the hood.
- Dimensionality Reduction : Does PCA really improve classification outcome?
- Jul 13, 2018.
In this post, I am going to verify this statement using a Principal Component Analysis ( PCA ) to try to improve the classification performance of a neural network over a dataset.
- New eBook: Machine Learning for Fraud Prevention
- Jul 12, 2018.
Get best practices on incorporating machine learning to automate your fraud prevention process and optimize workflows. Download this free ebook now.
- 9+ Rising Stars of Data Science
- Jul 12, 2018.
Connect and learn from these 9 data science rock stars and over 231 more presenters at ODSC West 2018, Oct 31-Nov 3 in San Francisco. Get 60% off until Friday, July 13 - reserve your spot here .
- What is Minimum Viable (Data) Product?
- Jul 12, 2018.
This post gives a personal insight into what Minimum Viable Product means for Machine Learning and the importance of starting small and iterating.
- AI Solutionism
- Jul 12, 2018.
Machine learning has huge potential for the future of humanity — but it won’t solve all our problems.
- Top KDnuggets tweets, Jul 4-10: Fantastic notes on the freely available @fastdotai machine learning course
- Jul 11, 2018.
Also: Analyze a Soccer (Football) Game Using #Tensorflow Object Detection; 18 Inspiring Women In AI, Big Data, Data Science, Machine Learning; Timsort - the fastest #sorting #algorithm you've never heard of.
- GDPR after 2 months – What does it mean for Machine Learning?
- Jul 11, 2018.
Almost 2 months on from the GDPR introduction, how was machine learning affected? What does the future hold?
- How to Balance the Load on a Data Team
- Jul 11, 2018.
This post will help you to better understand a data team’s workflow and allocate their resources to business users.
- 10 Mistakes to Avoid When Adopting Advanced Analytics
- Jul 10, 2018.
Download this report for a list of 10 mistakes to avoid when adopting advanced analytics, learn how you can improve your own implementation, and get a taste of premium membership.
- A FREE Live Online Conference For Aspiring Data Scientists & Data-Curious Business Leaders
- Jul 10, 2018.
Demystifying Data Science - a completely free, live online conference for aspiring data scientists and data-curious business professionals, July 24-25. Experience 28 interactive data science talks from industry-leading speakers. Register now!
- Basic Image Data Analysis Using Numpy and OpenCV – Part 1
- Jul 10, 2018.
Accessing the internal component of digital images using Python packages becomes more convenient to understand its properties as well as nature.
- Analyze a Soccer (Football) Game Using Tensorflow Object Detection and OpenCV
- Jul 10, 2018.
For the data scientist within you let's use this opportunity to do some analysis on soccer clips. With the use of deep learning and opencv we can extract interesting insights from video clips
- fast.ai Deep Learning Part 1 Complete Course Notes
- Jul 10, 2018.
This posts is a collection of a set of fantastic notes on the fast.ai deep learning part 1 MOOC freely available online, as written and shared by a student. These notes are a valuable learning resource either as a supplement to the courseware or on their own.
- Top Stories, Jul 2-8: 5 of Our Favorite Free Visualization Tools; SQL Cheat Sheet
- Jul 10, 2018.
Also: 5 Data Science Projects That Will Get You Hired in 2018; Automated Machine Learning vs Automated Data Science.
- Strategic Analytics Summit, Las Vegas, Sep 26-27
- Jul 9, 2018.
This Summit will bring together Big Data thought leaders, top business executives and analytics experts for two days of insights, learning and networking. Use code KDNU18 for 25% off.
- Predictive Analytics World for Government – Sept 18-19 in Washington, DC – Save big if you register now
- Jul 9, 2018.
The deadline to save with Early Bird prices to the 2018 Predictive Analytics World for Government conference in Washington DC is fast approaching. This means that when you register by Friday, August 3, you could save up to $800.00.
- Deep Learning and Challenges of Scale Webinar
- Jul 9, 2018.
Join Nvidia for an on-demand webinar to learn how to tackle the challenges of scaling and building complex deep learning systems.
- Upcoming Meetings in AI, Analytics, Big Data, Data Science, Deep Learning, Machine Learning: July and Beyond
- Jul 9, 2018.
Coming soon: ICDM/MLDM New York, Data Innovation Summits Las Vegas, ICML Stockholm, IJCAI/ECAI Stockholm, TDWI Anaheim, KDD-2018 London, JupyterCon NYC, and many more.
- Data science of the connected vehicle: perspectives, applications and trends
- Jul 9, 2018.
The application of data science to streaming data from vehicles is an emerging field. Here we review general trends and some specific examples of relevant data feeds and applications where data science can deliver value.
- Data Mining Book Chapter Download
- Jul 9, 2018.
Download this chapter by Gordon Linoff and Michael Berry, and learn how to create derived variables, which allow the statistical modeling process to incorporate human insights.
- The 4 Levels of Data Usage in Data Science
- Jul 9, 2018.
This is an overview of the 4 levels, or "buckets," of data usage in business, starting at monitoring and progressing to automation.
- Cartoon: How is Data Science Different From Religion?
- Jul 8, 2018.
This difference between Data Science and Religion is not what you expect ...
- Weak and Strong Bias in Machine Learning
- Jul 6, 2018.
With the arrival of the GDPR there has been increased focus on non-discrimination in machine learning. This post explores different forms of model bias and suggests some practical steps to improve fairness in machine learning.
- Introduction to Apache Spark
- Jul 6, 2018.
This is the first blog in this series to analyze Big Data using Spark. It provides an introduction to Spark and its ecosystem.
- fast.ai Machine Learning Course Notes
- Jul 6, 2018.
This posts is a collection of a set of fantastic notes on the fast.ai machine learning MOOC freely available online, as written and shared by a student. These notes are a valuable learning resource either as a supplement to the courseware or on their own.
- The AI Conference in London – Exclusive KDNuggets Offer
- Jul 5, 2018.
The AI Conference will premiere in London, 8–11 October. The Best Price expires on 13 July. Tutorials, training courses, and hotel rooms all book up quickly. Save and additional 20% on Gold, Silver and Bronze passes with the code KDN20.
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5 of Our Favorite Free Visualization Tools
- Jul 5, 2018.
5 key free data visualization tools that can provide flexible and effective data presentation. - Manage your Machine Learning Lifecycle with MLflow – Part 1
- Jul 5, 2018.
Reproducibility, good management and tracking experiments is necessary for making easy to test other’s work and analysis. In this first part we will start learning with simple examples how to record and query experiments, packaging Machine Learning models so they can be reproducible and ran on any platform using MLflow.
- Text Classification & Embeddings Visualization Using LSTMs, CNNs, and Pre-trained Word Vectors
- Jul 5, 2018.
In this tutorial, I classify Yelp round-10 review datasets. After processing the review comments, I trained three model in three different ways and obtained three word embeddings.
- Deep Learning Tips and Tricks
- Jul 4, 2018.
This post is a distilled collection of conversations, messages, and debates on how to optimize deep models. If you have tricks you’ve found impactful, please share them in the comments below!
- Overview and benchmark of traditional and deep learning models in text classification
- Jul 3, 2018.
In this post, traditional and deep learning models in text classification will be thoroughly investigated, including a discussion into both Recurrent and Convolutional neural networks.
- Deep Quantile Regression
- Jul 3, 2018.
Most Deep Learning frameworks currently focus on giving a best estimate as defined by a loss function. Occasionally something beyond a point estimate is required to make a decision. This is where a distribution would be useful. This article will purely focus on inferring quantiles.
- Data Retrieval and Cleaning: Tracking Migratory Patterns
- Jul 3, 2018.
In this post, we walk through investigating, retrieving, and cleaning a real world data set. We will also describe the cost benefits and necessary tools involved in building your own data sets.
- AI for Fraud Detection – How does Mastercard do it? Learn how global leaders use AI
- Jul 2, 2018.
At the AI in Finance Summit, Sept 6-7 in NYC, RE•WORK we will be showcasing the latest breakthrough technologies & their application in the financial sector with topics including Financial Compliance, Financial Forecasting, NLP, Investment, Blockchain & more.
- From Insights to Value in 90 Minutes – with Snowflake, July 12 Webinar
- Jul 2, 2018.
Learn How to Accelerate Data Warehouse Modernization at a Low Cost.
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SQL Cheat Sheet
- Jul 2, 2018.
A good programmer or software developer should have a basic knowledge of SQL queries in order to be able retrieve data from a database. This cheat sheet can help you get started in your learning, or provide a useful resource for those working with SQL. - Why a Professional Association for Data Scientists is a Bad Idea
- Jul 2, 2018.
This post presents the argument against having a professional association for data scientists.
- Automated Machine Learning vs Automated Data Science
- Jul 2, 2018.
Just by adding the term "automated" in front of these 2 separate, distinct concepts does not somehow make them equivalent. Machine learning and data science are not the same thing.
- Top Stories, Jun 25 – Jul 1: 5 Data Science Projects That Will Get You Hired in 2018; 30 Free Resources for Machine Learning, Deep Learning, NLP & AI
- Jul 2, 2018.
Also: Top 20 Python Libraries for Data Science in 2018; Why Data Scientists Love Gaussian; How to Execute R and Python in SQL Server with Machine Learning Services; Explaining Reinforcement Learning: Active vs Passive; What's the Difference Between Data Integration and Data Engineering?