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
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
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.
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 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
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.
#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
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
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.
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.
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.
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
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
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
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.
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