2018 News
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KDnuggets News issues for 2018
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18:n48: Why You Shouldn’t be a Data Science Generalist; Industry Data Science & Machine Learning 2019 Predictions - Dec 19, 2018.
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18:n47: Common mistakes when doing machine learning; Here are the most popular Python IDEs / Editors - Dec 12, 2018.
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18:n46: AI, Data Science, Analytics 2018 Main Developments, 2019 Key Trends; Deep Learning Cheat Sheets - Dec 5, 2018.
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18:n45: Your Favorite Python IDE/editor? Intro to Data Science for Managers - Nov 28, 2018.
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18:n44: What is the Best Python IDE for Data Science?; Anticipating the next move in data science - Nov 21, 2018.
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18:n43: To get hired as a data scientist, don’t follow the herd; LinkedIn Top Voices in Data Science & Analytics - Nov 14, 2018.
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18:n42: The Most in Demand Skills for Data Scientists; How Machines Understand Our Language: Intro to NLP - Nov 7, 2018.
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18:n41: Introduction to Deep Learning with Keras; Easy Named Entity Recognition with Scikit-Learn - Oct 31, 2018.
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18:n40: Graphs Are The Next Frontier In Data Science; Apache Spark Intro for Beginners - Oct 24, 2018.
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18:n39: 10 Best Mobile Apps for Data Scientist; Vote in new poll: Largest dataset you analyzed? - Oct 17, 2018.
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18:n38: Concise Explanation of Learning Algorithms; Why I Call Myself a Data Scientist; Linear Regression in the Wild - Oct 10, 2018.
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18:n37: Mathematics of Machine Learning; Effective Transfer Learning for NLP; Path Analysis with R - Oct 3, 2018.
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18:n36: Machine Learning Algorithms From Scratch; Deep Learning Framework Popularity; Data Capture, the Deep Learning Way - Sep 26, 2018.
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18:n35: How Many Data Scientists Out There? Hadoop for Beginners; Data Science of Adele - Sep 19, 2018.
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18:n34: Essential Math for Data Science; 100 Days of Machine Learning Code; Drop Dropout - Sep 12, 2018.
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18:n33: Practical Topic Modeling with Python; Classifying AI Technologies; Data Science Project Inspiration - Sep 5, 2018.
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18:n32: Data Visualization Cheat Sheet; Auto-Keras, or Deep Learning Model in 4 Lines of Code - Aug 29, 2018.
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18:n31: Top 10 roles in AI and data science; Github Data Science Spotlight: Python tools for Machine Learning - Aug 15, 2018.
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18:n30: Iconic Data Visualisation; Data Scientist Interviews Demystified; Simple Statistics in Python - Aug 8, 2018.
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18:n29: Building an Awesome Data Science Portfolio; Data Science + DevOps = Taming the Unicorn - Aug 1, 2018.
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18:n28: Best (and Free) Resources to Understand Deep Learning; Why Germany did not beat Brazil in the final – Data Science lessons from the World Cup - Jul 25, 2018.
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18:n27: Data Scientist was the sexiest job until…; Text Mining on the Command Line; Does PCA Really Work? - Jul 18, 2018.
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18:n26: 5 Favorite Free Visualization Tools; SQL Cheat Sheet; Top 20 Python Libraries for Data Science - Jul 11, 2018.
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18:n25: 5 Clustering Algorithms Data Scientists Need to Know; Detecting Sarcasm with Deep Convolutional Neural Networks? - Jun 27, 2018.
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18:n24: Data Lakes – The evolution of data processing; Text Generation with RNNs in 4 Lines of Code - Jun 20, 2018.
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18:n23: Did Python declare victory over R?; Master the Netflix Interview; Deep Learning Projects DIY Style - Jun 13, 2018.
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18:n22: 10 More Free Must-Read Books for Machine Learning and Data Science; Beginner Guide to Data Science Pipeline - Jun 6, 2018.
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18:n21: Python eats away at R; Top 2018 Analytics, Data Science, Machine Learning tools; 9 Must-have skills for a Data Scientist - May 23, 2018.
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18:n20: PyTorch Tensor Basics; Data Science in Finance; Executive Guide to Data Science - May 16, 2018.
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18:n19: KDnuggets Poll: What tools you used for Analytics/Data Science Projects? 8 Useful Advices for Aspiring Data Scientists - May 9, 2018.
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18:n18: Blockchain Explained in 7 Python Functions; Data Science Dirty Secret; Choosing the Right Evaluation Metric - May 2, 2018.
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18:n17: Python Regular Expressions Cheat Sheet; Deep Learning With Apache Spark; Building a Question Answering Model - Apr 25, 2018.
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18:n16: Key Algorithms and Statistical Models; Don’t learn Machine Learning in 24 hours; Data Scientist among the best US Jobs in 2018 - Apr 18, 2018.
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18:n15: Why so many data scientists are leaving their jobs; New Poll: Data Scientist job satisfaction - Apr 11, 2018.
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18:n14: How Do I Get My First Data Science Job? A “Weird” Intro to Deep Learning; Top 20 DL papers - Apr 4, 2018.
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18:n13: Where did you apply Data Science/ML? 12 Essential Command Line Tools for Data Scientists - Mar 28, 2018.
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18:n12: Will GDPR Make Machine Learning Illegal?; 5 Things You Need to Know about Big Data - Mar 21, 2018.
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18:n11: Two sides of getting a job as a Data Scientist; 5 things to know about Machine Learning - Mar 14, 2018.
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18:n10: Functional Programming in Python; Surviving Your Data Science Interview; Easy Image Recognition with Google Tensorflow - Mar 7, 2018.
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18:n09: Gartner 2018 MQ for Data Science/ML – Gainers and Losers; Comparative Analysis of Top 6 BI/Data Viz Tools - Feb 28, 2018.
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18:n08: Neural network AI is simple – stop pretending you are a genius; Data Science at the command line - Feb 21, 2018.
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18:n07: 5 Machine Learning Projects You Should Not Overlook; Intro to Python Ensembles - Feb 14, 2018.
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18:n06: 5 Fantastic Practical Machine Learning Resources; 8 Must-Know Neural Network Architectures - Feb 7, 2018.
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18:n05: Feynman Technique to become a Data Scientist; 4 Big Data Trends for 2018; Data Scientist – best job in America - Jan 31, 2018.
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18:n04: TensorFlow vs XGBoost; Machine Learning Pipelines in Python; Semi-Supervised Machine Learning - Jan 24, 2018.
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18:n03: Top 10 TED Talks on Data Science, Machine Learning; How Docker Can Help You Become A More Effective Data Scientist - Jan 17, 2018.
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18:n02: Quantum Machine Learning; AI & Blockchain Convergence; Building a Successful Analytics Dept - Jan 10, 2018.
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18:n01: Computer Vision by Andrew Ng: 11 Lessons Learned; How much Math do you need for Data Science? Top stories of 2017 - Jan 4, 2018.
2017
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