2017 News
Latest News | Top News
News for Dec | Nov | Oct | Sep | Aug | Jul | Jun | May | Apr | Mar | Feb | Jan
KDnuggets News issues for 2017
-
17:n48: Machine Learning 2017 Key Trends; New Poll: When is AGI Coming?; AI Year End Roundup - Dec 20, 2017.
-
17:n47: Top Data Science, Machine Learning Methods in 2017; Main Data Science Developments in 2017, Key Trends; Lunch Break with Keras - Dec 13, 2017.
-
17:n46: Why You Should Forget for-loop for Data Science Code; Reinforcement Learning: Exclusive Interview with Rich Sutton; Big Data Key Trends - Dec 6, 2017.
-
17:n45: New Poll: Data Science Methods Used? Deep Learning Specialization: 21 Lessons Learned - Nov 29, 2017.
-
17:n44: Best Online Masters in Data Science and Analytics; What is the hottest job on Wall Street? - Nov 15, 2017.
-
17:n43: Peak Demand for Data Scientists/Machine Learning Experts – When? Advice For New and Junior Data Scientists - Nov 8, 2017.
-
17:n42: 7 Steps to Mastering Deep Learning with Keras; 6 Books Every Data Scientist Should Keep Nearby - Nov 1, 2017.
-
17:n41: Learning git not enough to become data scientist; Peak Data Scientist Demand? Top Machine Learning w. R videos - Oct 25, 2017.
-
17:n40: Want to Become a Data Scientist? Read This!; Natural Stupidity is more Dangerous than Artificial Intelligence - Oct 18, 2017.
-
17:n39: Machine Learning to Predict, Explain Attrition; Deep Learning for Object Detection - Oct 11, 2017.
-
17:n38: What Blockchains Mean to Big Data; Keras Deep Learning Cheat Sheet; Machine Learning in Finance - Oct 4, 2017.
-
17:n37: Essential Data Science & Machine Learning Cheat Sheets; 5 Machine Learning Projects to Check Out Now! - Sep 27, 2017.
-
17:n36: Data Science and the Imposter Syndrome; How To Become a 10x Data Scientist - Sep 20, 2017.
-
17:n35: Putting the “Science” Back in Data Science; Python vs. R: And the leader is… - Sep 13, 2017.
-
17:n34: 277 Data Science Key Terms, Explained; Top 10 Machine Learning Use Cases; Future Machine Learning Class - Sep 6, 2017.
-
17:n33: Python Overtakes R in Machine Learning; Data Science in 42 Steps; Deep Learning not AI’s Future - Aug 30, 2017.
-
17:n32: The Rise of GPU Databases; Instagramming with Python for Data Analysis - Aug 23, 2017.
-
17:n31: Data Science Primer: Basic Concepts; Python vs R vs rest - Aug 16, 2017.
-
17:n30: Machine Learning Algorithms: Concise Overview; Train your Deep Learning model faster and sharper - Aug 9, 2017.
-
17:n29: Machine Learning Exercises in Python; 8 Reasons Why Many Big Data Analytics Solutions Fail - Aug 2, 2017.
-
17:n28: 5 Free Resources to start with Deep Learning for NLP; Emotional Intelligence for Data Science Teams - Jul 26, 2017.
-
17:n27: The 4 Types of Data Analytics; Machine Learning Applied to Big Data, Explained - Jul 19, 2017.
-
17:n26: Applying Deep Learning to Real-world Problems; New Poll: Will society be better from increased automation, AI? - Jul 12, 2017.
-
17:n25: Emerging Data Science Software Ecosystem; 3 Key Data Science 2017 Hiring Trends - Jun 28, 2017.
-
17:n24: Learn Data Science skills you need for free; Understanding Deep Learning Requires Re-thinking Generalization - Jun 21, 2017.
-
17:n23: The Practice of Machine Learning, Data Science Implementation, and Feature Selection - Jun 14, 2017.
-
17:n22: 7 Steps to Mastering Data Preparation with Python; Why Does Deep Learning Not Have a Local Minimum? - Jun 7, 2017.
-
17:n21: Python Machine Learning Workflows from Scratch; Machine Learning Crash Course - May 31, 2017.
-
17:n20: New Data Science Leader, Trends, Surprises; Getting Into Data Science: What You Need to Know - May 24, 2017.
-
17:n19: Guerrilla Guide to Machine Learning with R; 5 Machine Learning Projects You Can’t Overlook - May 17, 2017.
-
17:n18: KDnuggets Poll: Software used for Analytics, Data Science? Top Machine Learning videos - May 10, 2017.
-
17:n17: Learn Machine Learning… in 10 Days?!? Gradient Descent, Simplified - May 3, 2017.
-
17:n16: Awesome Deep Learning: Most Cited Deep Learning Papers; Data Science for the Layman - Apr 26, 2017.
-
17:n15: Forrester vs Gartner on Data Science/Analytics Platforms; 5 Machine Learning Projects You Can No Longer Overlook - Apr 19, 2017.
-
17:n14: Free Machine Learning & Data Science Books; Top Machine Learning & Deep Learning Papers - Apr 12, 2017.
-
17:n13: What makes a great data scientist? Best R Packages for Machine Learning - Apr 5, 2017.
-
17:n12: Getting Started with Deep Learning; Thinking Like a Data Scientist; What is Data Science?!? - Mar 29, 2017.
-
17:n11: 50 Companies Leading The AI Revolution; 17 More Must-Know Data Science Q&A, part 3 - Mar 22, 2017.
-
17:n10: Becoming a Data Science Unicorn; What Makes a Good Data Visualization? - Mar 15, 2017.
-
17:n09: 7 More Steps to Mastering Machine Learning w. Python; Every Intro to Data Science Course, Ranked - Mar 8, 2017.
-
17:n08: Deep Learning Frameworks Dissected; Gartner Magic Quadrant for Data Science Platforms - Mar 1, 2017.
-
17:n07: 17 Must-Know Data Science Interview Q&A; Removing Outliers in Python - Feb 22, 2017.
-
17:n06: So What is Big Data? 52 Useful Machine Learning APIs; Data Science finds Perfect Valentines Dates - Feb 15, 2017.
-
17:n05: Identifying Better Predictors; 5 Career Paths in Big Data, Data Science Explained - Feb 8, 2017.
-
17:n04: Data Science and Python Wrangling: Pandas Cheat Sheet; Great Collection of Machine Learning Algorithms - Feb 1, 2017.
-
17:n03: Automated Machine Learning Overview; Data Science Puzzle; Chatbots on Steroids - Jan 25, 2017.
-
17:n02: Most Popular Language For Machine Learning; Analytics & Data Science Make Business Smarter - Jan 18, 2017.
-
17:n01: 5 Machine Learning Projects You Can’t Overlook; Future of Deep Learning; Self-Driving Car Surprises - Jan 11, 2017.
2016
KDnuggets News Issues for 2016News for Dec | Nov | Oct | Oct | Sep | Aug | Jul | Jun | May | Apr | Mar | Feb | Jan