2016 News
Latest News | Top News
News for Dec | Nov | Oct | Oct | Sep | Aug | Jul | Jun | May | Apr | Mar | Feb | Jan
KDnuggets News issues for 2016
-
16:n46: 4 Reasons Your Machine Learning Model is Wrong; Deep Learning for coders MOOC - Dec 28, 2016.
-
16:n45: 50+ Data Science, ML Cheat Sheets; Ethics of Self-Driving Cars? Top experts on Machine Learning Main Events, Key Trends - Dec 21, 2016.
-
16:n44: Key Data Science 2016 Events, 2017 Trends; Where Data Science was applied; Bayesian Basics - Dec 14, 2016.
-
16:n43: Where did you use Data Science? The hard thing about Deep Learning; Big Data Main Events in 2016, Key Trends for 2017 - Dec 7, 2016.
-
16:n42: Python Machine Learning Open Source Projects; Facebook Groups for Big Data & Data Science - Nov 30, 2016.
-
16:n41: Top 10 Amazon Books in Data Mining; Intuitive Explanation of Convolutional Neural Nets - Nov 16, 2016.
-
16:n40: Trump, Failure of Prediction, and Lessons for Data Scientists; 8 Frustrating Things For R Users When Learning Python - Nov 9, 2016.
-
16:n39: Machine Learning: A Complete and Detailed Overview; Learn Data Science in 8 (Easy) Steps - Nov 2, 2016.
-
16:n38: Free Machine Learning EBooks; Neural Networks in Python with Scikit-learn - Oct 26, 2016.
-
16:n37: Top Data Science Videos; 12 Interesting Big Data Careers; Deep Learning Key Terms - Oct 19, 2016.
-
16:n36: Battle of the Data Science Venn Diagrams; 9 Bizarre and Surprising Insights; ROI in Big Data Analytics - Oct 12, 2016.
-
16:n35: Biggest Issues in Data Science; Data Science for IoT: 10 differences - Oct 5, 2016.
-
16:n34: The Great Algorithm Tutorial Roundup; 7 Steps to Mastering Apache Spark 2.0 - Sep 21, 2016.
-
16:n33: Top Algorithms Used by Data Scientists; (Not So) New Data Scientist Venn Diagram - Sep 14, 2016.
-
16:n32: Cartoon: Data Scientist was sexiest job until…; Up to Speed on Deep Learning - Sep 7, 2016.
-
16:n31: 10 Algo Machine Learning Engineers Need to Know; How to Become a Data Scientist; Gentle Tensorflow - Aug 24, 2016.
-
16:n30: Why Deep Learning Works; Neural Networks with R; Central Limit Theorem for Data Science - Aug 17, 2016.
-
16:n29: Data Science for Beginners: Fantastic series; Automating Data Science Contest Winners - Aug 10, 2016.
-
16:n28: Data Science Stats 101; Understanding NoSQL Databases; Core of Data Science - Aug 3, 2016.
-
16:n27: 5 Big Data Projects You Cant Overlook; Pokemon Go and Big Data; SAS vs R vs Python - Jul 27, 2016.
-
16:n26: Bayesian Machine Learning, Explained; Start Learning Deep Learning; Big Data is in Trouble - Jul 20, 2016.
-
16:n25: Top Machine Learning MOOCs; 5 Deep Learning Projects; Support Vector Machines Overview - Jul 13, 2016.
-
16:n24: Text Mining 101; Softmax and Logistic Regression; Data Mining History: Support Vector Machines - Jul 6, 2016.
-
16:n23: Machine Learning Trends & Future of AI; Data Science Kaggle Walkthrough; Regularization in Logistic Regression - Jun 29, 2016.
-
16:n22: Data Science Blog Contest; Free Machine Learning Ebook; Master SQL for Data Science - Jun 22, 2016.
-
16:n21: What Big Data, Data Science tools go together? Oppys for Machine Learning Startups - Jun 15, 2016.
-
16:n20: R, Python Duel for 1st Place; “Regular” Machine Learning vs Deep Learning; Numpy Intro - Jun 8, 2016.
-
16:n19: Explain Machine Learning to Software Engineer; 5 Can’t Miss Machine Learning Projects - May 25, 2016.
-
16:n18: Annual Software Poll; Practical Data Science Skills; Creative Deep Learning - May 18, 2016.
-
16:n17: Machine Learning Algorithms From Scratch; Big Data Leaders on LinkedIn; Data Science Career - May 11, 2016.
-
16:n16: How to Remove Duplicates from Large Data; Datasets over Algorithms; When Automation goes too far - May 4, 2016.
-
16:n15: Deep Learning vs. SVMs, Random Forests; Python Guide for Data Science - Apr 27, 2016.
-
16:n14: Top 15 Frameworks for Machine Learning Experts; How to Grow Your Own Data Scientists - Apr 20, 2016.
-
16:n13: Signs of a Bad Data Scientist; Deep Learning from 30,000 Feet; Analytics Survey - Apr 13, 2016.
-
16:n12: Top 10 Essential Books; Perfect Data Science Interview - Apr 6, 2016.
-
16:n11: R Learning Path in 7 Steps; Top 10 Data Science Resources; HPE Haven OnDemand vs Azure - Mar 30, 2016.
-
16:n10: Data Science Puzzle, explained; New KDnuggets Tutorials; 4 Data Viz Lessons - Mar 23, 2016.
-
16:n09: Data Science Process; Scikit-feature; Automated Data Science - Mar 9, 2016.
-
16:n08: Citizen Data Scientist Mirage; Spark Tipping Point; 80% Machine Learning - Mar 2, 2016.
-
16:n07: Deep Learning For Everyone; 21 Must-Know Data Science Q&A, part 2; Amazon Machine Learning - Feb 24, 2016.
-
16:n06: 21 Must-Know Data Science Interview Q&A; Top Influencers and Brands - Feb 17, 2016.
-
16:n05: Deep Learning is not Enough; Apache Spark: RDD, DataFrame or Dataset? - Feb 10, 2016.
-
16:n04: Is Deep Learning Overhyped? Businesses Will Need 1M Data Scientists - Feb 3, 2016.
-
16:n03: Secret to winning Kaggle; Better Dataviz; Where Analytics is applied - Jan 27, 2016.
-
16:n02: Research Leaders on Key Advances, Top Trends; Top 10 Deep Learning Projects - Jan 20, 2016.
-
16:n01: Detect Fake Data Scientists; Tensorflow is Terrific; More arXiv Deep Learning, explained - Jan 12, 2016.
