2020 News
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KDnuggets News issues for 2020
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20:n48: Crack SQL Interviews; MLOps – Why and How; 2021 AI, Data Science, ML Predictions - Dec 23, 2020.
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20:n47: A Rising Library Beating Pandas in Performance; R or Python? Why Not Both? - Dec 16, 2020.
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20:n46: Why the Future of ETL Is Not ELT, But EL(T); Introduction to Data Engineering - Dec 9, 2020.
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20:n45: TabPy: Combining Python and Tableau; Learn Deep Learning with this Free Course from Yann LeCun - Dec 2, 2020.
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20:n44: How to Acquire the Most Wanted Data Science Skills; Learn to build an end to end data science project - Nov 18, 2020.
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20:n43: The Best Data Science Certification You’ve Never Heard Of; Essential data science skills that no one talks about - Nov 11, 2020.
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20:n42: Top Python Libraries for Data Science, Data Visualization & Machine Learning; Mastering Time Series Analysis - Nov 4, 2020.
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20:n41: Difference Between Junior and Senior Data Scientists; Ain’t No Such a Thing as a Citizen Data Scientist - Oct 28, 2020.
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20:n40: fastcore: An Underrated Python Library; Goodhart’s Law for Data Science: what happens when a measure becomes a target? - Oct 21, 2020.
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20:n39: A step-by-step guide for creating an authentic data science portfolio project; Strategies of Docker Images Optimization - Oct 14, 2020.
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20:n38: 10 Essential Skills You Need to Know to Start Doing Data Science; The Best Free Data Science eBooks: 2020 Update - Oct 7, 2020.
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20:n37: Introduction to Time Series Analysis in Python; How To Improve Machine Learning Model Accuracy - Sep 30, 2020.
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20:n36: New Poll: What Python IDE / Editor you used the most in 2020?; Automating Every Aspect of Your Python Project - Sep 23, 2020.
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20:n35: Data Science Skills: Core, Emerging, and Most Wanted; Free From MIT: Intro to CS, Programming in Python - Sep 16, 2020.
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20:n34: Top Online Data Science Masters Degrees; Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills - Sep 9, 2020.
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20:n33: If I had to start learning Data Science again, how would I do it? Must-read NLP and Deep Learning articles for Data Scientists - Aug 26, 2020.
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20:n32: The List of Top 10 Data Science Lists; Data Science MOOCs with Substance - Aug 19, 2020.
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20:n31: Data Science Skills: Have vs Want: Vote in the New Poll; Netflix Polynote is a New Open Source Framework to Build Better Data Science Notebooks - Aug 12, 2020.
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20:n30: What Employers are Expecting of Data Scientist Role; I have a joke about… - Aug 5, 2020.
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20:n29: Easy Guide To Data Preprocessing In Python; Building a better Spark UI; Computational Algebra for Coders: The Free Course - Jul 29, 2020.
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20:n28: Data Science MOOCs are too Superficial; The Bitter Lesson of Machine Learning - Jul 22, 2020.
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20:n27: Great explanation of Calculus, the Key to Deep Learning; 8 data-driven reasons to learn Python - Jul 15, 2020.
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20:n26: Speed up Your Numpy and Pandas; A Layman’s Guide to Data Science; Getting Started with TensorFlow 2 - Jul 8, 2020.
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20:n25: PyTorch Fundamentals You Should Know; Free Math Courses to Boost Your Data Science Skills - Jun 24, 2020.
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20:n24: Easy Speech-to-Text with Python; Data Distributions Overview; Java for Data Scientists - Jun 17, 2020.
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20:n23: Largest Dataset you analyzed? If you start statistics all over again, where would you start? GPT-3 - Jun 10, 2020.
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20:n22: How to Think Like a Data Scientist; Six Ways For Data Scientists to Succeed at a Startup - Jun 3, 2020.
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20:n21: The Best NLP with Deep Learning Course is Free; Your First Machine Learning Web App - May 27, 2020.
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20:n20: I Designed My Own ML and AI Degree; Automated Machine Learning: The Free eBook - May 20, 2020.
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20:n19: Start Your Machine Learning Career in Quarantine; Will Machine Learning Engineers Exist in 10 Years? - May 13, 2020.
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20:n18: Five Cool Python Libraries for Data Science; NLP Recipes: Best Practices - May 6, 2020.
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20:n17: The Super Duper NLP Repo; Free Machine Learning & Data Science Books & Courses for Quarantine - Apr 29, 2020.
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20:n16: Scaling Pandas with Dask for Big Data; Dive Into Deep Learning: The Free eBook - Apr 22, 2020.
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20:n15: How to Do Hyperparameter Tuning on Any Python Script; 10 Must-read Machine Learning Articles - Apr 15, 2020.
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20:n14: Free Mathematics for Machine Learning eBook; Epidemiology Courses for Data Scientists - Apr 8, 2020.
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20:n13: Effective visualizations for pandemic storytelling; Machine learning for time series forecasting - Apr 1, 2020.
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20:n12: 24 Best (and Free) Books To Understand Machine Learning; Coronavirus Daily Change and Poll Analysis; 9 lessons learned during 1st year as a Data Scientist - Mar 25, 2020.
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20:n11: Covid-19, your community, and you – a data science perspective; When Will AutoML replace Data Scientists? Poll Results and Analysis - Mar 18, 2020.
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20:n10: What impact is the coronavirus having on the AI/Data Science/Machine Learning community?; Recreating Fingerprints using Convolutional Autoencoders - Mar 11, 2020.
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20:n09: When Will AutoML replace Data Scientists (if ever) – vote; 20 AI, DS, ML Terms You Need to Know (part 2) - Mar 4, 2020.
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20:n08: Gartner 2020 Magic Quadrant for Data Science & Machine Learning Platforms; Will AutoML Replace Data Scientists? - Feb 26, 2020.
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20:n07: 20 AI, Data Science, Machine Learning Terms for 2020; Why Did I Reject a Data Scientist Job? - Feb 19, 2020.
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20:n06: The Data Science Puzzle – 2020 Edition; The Future of ML Will Include a Lot Less Engineering - Feb 12, 2020.
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20:n05: How to land a Data Scientist job at your dream company; 12-Hour Machine Learning Challenge - Feb 5, 2020.
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20:n04: AutoML: If you try it, you’ll like it more; The Data Science Interview Study Guide - Jan 29, 2020.
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20:n03: I wanna be a data scientist, but… how? Top 10 Technology Trends for 2020 - Jan 22, 2020.
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20:n02: Top 5 Must-have Data Science Skills; Learn Machine Learning with THIS Book - Jan 15, 2020.
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20:n01: How to “Ultralearn” Data Science; How teams do AutoML? - Jan 8, 2020.
2019
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