How to Mitigate Open Source License Risks This whitepaper from ActiveState investigates the various types of OSS licenses, common myths and risks, DIY risk management, the importance of enterprise legal indemnification, and more.
on Oct 30, 2018 in
ActiveState, Open Source, Risks, White Paper
[ebook] Manipulating Data in Apache Spark In this ebook from Databricks, learn how DataFrames leverage the power of distributed processing through Spark, how to make big data processing easier for a wider audience, and more.
on Oct 29, 2018 in
Apache Spark, Clustering, Databricks, ebook, Free ebook
SQL, Python, & R in One Platform No more jumping between applications. Mode Studio combines a SQL editor, Python and R notebooks, and a visualization builder in one platform.
on Oct 26, 2018 in
Data Visualization, Mode Analytics, Python, R, SQL
New Book: Linear Algebra – what you need for Machine Learning and Data Science now From machine learning and data science to engineering and finance, linear algebra is an important prerequisite for the careers of today and of the future. Learn the math you need with this book.
on Oct 24, 2018 in
Beginners, Book, Linear Algebra, Machine Learning, Mathematics, Richard Han
A Deep Look at Deep Learning: Understanding The Basics of How (and Why) it Works In this illustrated guide by Dataiku you'll learn what exactly deep learning is and why its growing and why it can be more powerful than classical machine learning (ML).
on Oct 23, 2018 in
Dataiku, Deep Learning, Machine Learning
Dr. Data Show Video: How Can You Trust AI? This new web series breaks the mold for data science infotainment, captivating the planet with short webisodes that cover the very best of machine learning and predictive analytics.
on Oct 20, 2018 in
AI, Eric Siegel, Machine Learning, Predictive Analytics, Predictive Analytics World, Trust
McKinsey Datathon: The City Cup 17 November, Amsterdam, Stockholm and Zurich. Apply Now While solving the challenge, you will gain insights into the types of problems that McKinsey Data Scientists solve daily to help their clients. Top prize is 5K Euro + conference attendance of your choice.
on Oct 19, 2018 in
Amsterdam, Competition, Hackathon, McKinsey, Stockholm, Zurich
The Definitive Guide to AI’s “Black Box” Problem The Amazing, Anti-Jargon, Insight Filled, and Totally Free Handbook to Integrating AI in Highly Regulated Industries - get it now.
on Oct 17, 2018 in
AI, Basis Technology, ebook, Explainable AI
DATAx Guide to Data Visualization in 2019 Get DATAx Guide to Data Visualization in 2019, the definitive foundation to help you prepare for the future of data visualization, AI and machine learning. Also use KD200 to get extra $200 off DATAx New York early bird pricing until Oct 19.
on Oct 15, 2018 in
Data Visualization, DATAx, ebook, IE Group, New York City
New Poll: What was the largest dataset you analyzed / data mined? New KDnuggets Poll is asking: What was the largest dataset you analyzed / data mined? Please vote and we will analyze the trends and publish the results.
on Oct 12, 2018 in
Big Data, Datasets, Largest, Poll
SQL, Python, & R: All in One Platform Mode Studio connects a SQL editor, Python and R notebooks, and a visualization builder in one platform. Sign up now for access.
on Oct 11, 2018 in
Data Visualization, Python, R, SQL
Data Mining Book: Chapter Download. 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.
on Oct 10, 2018 in
Data Mining, Derived Variables, Feature Engineering, JMP, Michael Berry
Unleash a Faster Python on Your Data Intel provides optimized Scikit-learn, the most used Python package for classical machine learning. Get faster scikit-learn through Intel® Distribution for Python*
on Oct 2, 2018 in
Analytics, Intel, Python, scikit-learn
DevOps 2.0: Applying Machine Learning in the CI/CD Chain Explore how ML can be implemented in your organization, so you can (for example) enable the automated assessment of test results for far more complex criteria, such as defining thresholds based on statistical significance rather than just presence/absence of specific criteria.
on Oct 2, 2018 in
ActiveState, Development, DevOps, Machine Learning, Software
Dr. Data Show Video: Why Machine Learning Is the Coolest Science This new web series breaks the mold for data science infotainment, captivating the planet with short webisodes that cover the very best of machine learning and predictive analytics.
on Oct 1, 2018 in
Eric Siegel, Machine Learning, Predictive Analytics, Predictive Analytics World
Robust Quality – Powerful Integration of Data Science and Process Engineering The book by Rajesh Jugulum provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies.
on Oct 1, 2018 in
Book, Data Science, Integration, Process