Sep
2019 Oct Top Stories, Tweets
All (93) | Courses, Education (2) | Meetings (5) | News (4) | Opinions (23) | Top Stories, Tweets (10) | Tutorials, Overviews (48) | Webcasts & Webinars (1)
- Top KDnuggets tweets, Oct 23-29: End To End Guide For Machine Learning Project – Explained
- Oct 30, 2019.
Also: Highest paid positions in 2019 are DevOps, Data Scientist, Data Engineer (all over $100K) - Stack Overflow Salary Calculator, Updated; A neural net solves the three-body problem 100 million times faster; The Last SQL Guide for Data Analysis You’ll Ever Need; How YouTube is Recommending Your Next Video
- Top Stories, Oct 21-27: Everything a Data Scientist Should Know About Data Management; How YouTube is Recommending Your Next Video
- Oct 28, 2019.
Also: Introduction to Natural Language Processing (NLP); Anomaly Detection, A Key Task for AI and Machine Learning, Explained; How to Become a (Good) Data Scientist — Beginner Guide
- Top KDnuggets tweets, Oct 16-22: How YouTube is Recommending Your Next Video
- Oct 23, 2019.
Also: The 5 Classification Evaluation Metrics Every Data Scientist Must Know; How to Recognize a Good Data Scientist Job From a Bad One; How to Easily Deploy Machine Learning Models Using Flask.
- Top Stories, Oct 14-20: How to Become a (Good) Data Scientist Beginner Guide
- Oct 21, 2019.
Also: The 5 Classification Evaluation Metrics Every Data Scientist Must Know; Artificial Intelligence: Salaries Heading Skyward; Writing Your First Neural Net in Less Than 30 Lines of Code with Keras; How to select rows and columns in Pandas using [ ], .loc, iloc, .at and .iat; The Last SQL Guide for Data Analysis You'll Ever Need
- Top KDnuggets tweets, Oct 09-15: #DeepLearning for Natural Language Processing (#NLP) using RNNs & CNNs #KDN Post
- Oct 16, 2019.
Also: Kannada-MNIST: A new handwritten digits dataset in ML town; Math for Programmers; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; The Last SQL Guide for Data Analysis You’ll Ever Need
- Top Stories, Oct 7-13: 10 Free Top Notch Natural Language Processing Courses; The Last SQL Guide for Data Analysis You’ll Ever Need
- Oct 14, 2019.
Also: Activation maps for deep learning models in a few lines of code; The 4 Quadrants of Data Science Skills and 7 Principles for Creating a Viral Data Visualization; OpenAI Tried to Train AI Agents to Play Hide-And-Seek but Instead They Were Shocked by What They Learned; 10 Great Python Resources for Aspiring Data Scientists
- Top KDnuggets tweets, Oct 02-08: Turn #Python Scripts into Beautiful ML Tools – with Streamlit, an app framework built for #MachineLearning engineers
- Oct 9, 2019.
Also: 12 things I wish I'd known before starting as a Data Scientist; 10 Free Top Notch Natural Language Processing Courses; The Last SQL Guide for Data Analysis; The 4 Quadrants of #DataScience Skills and 7 Principles for Creating a Viral DataViz.
- Top September Stories: I wasn’t getting hired as a Data Scientist. So I sought data on who is.
- Oct 8, 2019.
Also: 10 Great Python Resources for Aspiring Data Scientists; Python Libraries for Interpretable Machine Learning.
- Top Stories, Sep 30 – Oct 6: The Last SQL Guide for Data Analysis You’ll Ever Need; Know Your Data: Part 1
- Oct 7, 2019.
Also: How AI will transform healthcare (and can it fix the US healthcare system?); Choosing the Right Clustering Algorithm for your Dataset; DeepMind Has Quietly Open Sourced Three New Impressive Reinforcement Learning Frameworks; A European Approach to Masters Degrees in Data Science; The Future of Analytics and Data Science
- Top KDnuggets tweets, Sep 25 – Oct 01: Natural Language in Python using spaCy: An Introduction
- Oct 2, 2019.
Also: Top KDnuggets tweets, Sep 18-24: Python Libraries for Interpretable Machine Learning; Scikit-Learn: A silver bullet for basic ML; Automatic Version Control for Data Scientists; My journey path from a Software Engineer to BI Specialist to a Data Scientist
Netflix’s Polynote is a New Open Source Framework to Build Better Data Science Notebooks
Know What Employers are Expecting for a Data Scientist Role in 2020