Sep
2016 Oct News, Features
All (98) | Courses, Education (7) | Meetings (11) | News, Features (20) | Opinions, Interviews (35) | Software (5) | Tutorials, Overviews (17) | Webcasts & Webinars (3)
- Top Stories, Oct 24-30: 5 EBooks to Read Before Getting into Machine Learning; Big Data Science: Expectation vs. Reality
- Oct 31, 2016.
5 EBooks to Read Before Getting into A Machine Learning Career; Big Data Science: Expectation vs. Reality; Mind of a Data Scientist; Machine Learning: A Complete and Detailed Overview; Using Machine Learning to Detect Malicious URLs
- Cartoon: Scary Big Data
- Oct 29, 2016.
What do Halloween and Big Data have in common? Both can be scary, as new KDnuggets cartoon shows.
- Top KDnuggets tweets, Oct 19-25: 5 #MachineLearning EBooks to Read; Top #DataScience @LinkedIn Groups in 2016
- Oct 26, 2016.
5 EBooks to Read Before Getting into A #MachineLearning Career; Top @LinkedIn Groups for #Analytics, #BigData, #DataMining, #DataScience in 2016; #ICYMI 10 Algorithms #MachineLearning Engineers Need to Know; European #MachineIntelligence Landscape
- What is Academic Torrents and Where is Data Sharing Going?
- Oct 26, 2016.
Learn more about Academic Torrents, a platform for researchers to share data consisting of a site where users can search for datasets, and a BitTorrent backbone which makes sharing data scalable and fast.
- The ABC’s of Insurance: Analytics, business transformation and customer centricity
- Oct 25, 2016.
Insurance Nexus conducted exclusive interviews with Manulife, the largest life insurer, and a mid-tier insurer, IAT, and created an exclusive white paper on analytics, business transformation and customer-centricity.
- Top Stories, Oct 17-23: Top 10 Data Science Videos on YouTube; 5 EBooks to Read Before Getting into A Machine Learning Career
- Oct 24, 2016.
Top 10 Data Science Videos on YouTube; 5 EBooks to Read Before Getting into A Machine Learning Career; Jupyter Notebook Best Practices for Data Science; A Beginners Guide to Neural Networks with Python and SciKit Learn 0.18!; European Machine Intelligence Landscape
- New Poll: What was the largest dataset you analyzed / data mined?
- Oct 22, 2016.
New KDnuggets Poll is asking: What was the largest dataset you analyzed / data mined? Please vote
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5 EBooks to Read Before Getting into A Machine Learning Career
- Oct 21, 2016.
A carefully-curated list of 5 free ebooks to help you better understand the various aspects of what machine learning, and skills necessary for a career in the field. - Top KDnuggets tweets, Oct 12-18: #DeepLearning Key Terms, Explained; Free Foundations of #DataScience text PDF
- Oct 20, 2016.
#DeepLearning Key Terms, Explained; Free Foundations of #DataScience text PDF; Top 12 Interesting Careers to Explore in #BigData; #ICYMI The 10 Algorithms #MachineLearning Engineers Need to Know
- Top Stories, Oct 10-16: Deep Learning Key Terms, Explained; Artificial Intelligence, Deep Learning, and Neural Networks, Explained
- Oct 17, 2016.
Deep Learning Key Terms, Explained; Artificial Intelligence, Deep Learning, and Neural Networks, Explained; Top 12 Interesting Careers to Explore in Big Data; Data Preparation Tips, Tricks, and Tools: An Interview with the Insiders; Here's How IT Departments are Using Big Data
- Novel Tensor Mining Tool to Enable Automated Modeling
- Oct 13, 2016.
A tensor - a multidimensional matrix - is ideal for modeling multiaspect data, such as social interactions, which can be characterized by the means of communication, who is interacting, and the time and location of the interaction, for example.
- Top KDnuggets tweets, Oct 05-11: Most Active #DataScientists on #Github; Why Not So Hadoop?
- Oct 12, 2016.
Most Active #DataScientists, Free Books, Notebooks & Tutorials on #Github; Why Not So Hadoop?; Free #MachineLearning text PDF, from theory to algorithms; Top @reddit #MachineLearning Posts September.
- Top 10 KDnuggets Blog Posts, looking back a year
- Oct 11, 2016.
Have a look at our top blog posts of Q4 2015, some of which continue to be among the most popular on our site, while others are still topical and warrant a second look.
- KDnuggets Top Bloggers in September – Gold and Silver badges
- Oct 11, 2016.
We recognize KDnuggets Best Guest Bloggers who had the most popular or most shared posts in September 2016:
- Top Stories, Oct 3-9: Battle of the Data Science Venn Diagrams; Automated Data Science & Machine Learning: An Interview with the Auto-sklearn Team
- Oct 10, 2016.
Battle of the Data Science Venn Diagrams; Automated Data Science & Machine Learning: An Interview with the Auto-sklearn Team; The 10 Algorithms Machine Learning Engineers Need to Know; Top Algorithms and Methods Used by Data Scientists; Biggest Issues in Data Science
- Top September Stories: Top Algorithms and Methods Used by Data Scientists
- Oct 8, 2016.
Also A Beginner's Guide To Understanding Convolutional Neural Networks; Data Science for IoT: 10 Differences; 9 Key Deep Learning Papers, Explained.
- Top /r/MachineLearning Posts, September: Open Images Dataset; Whopping Deep Learning Grant; Advanced ML Courseware
- Oct 7, 2016.
Google Research announces the Open Images dataset; Canadian Government Deep Learning Research grant; DeepMind: WaveNet - A Generative Model for Raw Audio; Machine Learning in a Year - From total noob to using it at work; Phd-level machine learning courses; xkcd: Linear Regression
- Top KDnuggets tweets, Sep 28-Oct 4: 7 Steps to Mastering SQL for #DataScience; Biggest Issues in #DataScience
- Oct 5, 2016.
7 Steps to Mastering SQL for #DataScience; New Andrew Ng #MachineLearning #Book Under Construction, #Free Draft Chapters; Top #DataScientist Claudia Perlich on Biggest Issues in #DataScience; Awesome Public Datasets on GitHub
- Academic/Research positions in Business Analytics, Data Science, Machine Learning in September 2016
- Oct 4, 2016.
Postdoc on Data Mining at Umea (Sweden); Faculty Position in Data Exploration at Emory (Atlanta); Professor, Business Analytics at U. of Iowa; CS Faculty - Data Analytics (open rank) at Rowan U; and more.
- Top Stories, Sep 26-Oct 2: Data Science for Internet of Things (IoT); Claudia Perlich on Biggest Issues in Data Science
- Oct 3, 2016.
Data Science for Internet of Things (IoT) : Ten Differences From Traditional Data Science; Claudia Perlich on Biggest Issues in Data Science; Data Science Basics: Data Mining vs. Statistics; The 10 Algorithms Machine Learning Engineers Need to Know; Top Algorithms and Methods Used by Data Scientists
Top 9 Mobile Apps for Learning and Practicing Data Science