Mar
2019 Apr Top Stories, Tweets
All (110) | Courses, Education (11) | Meetings (15) | News (14) | Opinions (30) | Top Stories, Tweets (10) | Tutorials, Overviews (27) | Webcasts & Webinars (3)
- Top Stories, Apr 22-28: The most desired skill in data science; How To Go Into Data Science: Ultimate Q&A for Aspiring Data Scientists
- Apr 30, 2019.
Artificial Intelligence 101 Cheatsheet; AI Supporting The Earth; Data Visualization in Python: Matplotlib vs Seaborn; 2019 Best Masters in Data Science and Analytics Online; Graduating in GANs: Going From Understanding Generative Adversarial Networks to Running Your Own
- Top KDnuggets tweets, Apr 17–23: The History of Artificial #NeuralNetworks; Artificial Intelligence 101 Cheatsheet
- Apr 24, 2019.
Also: 3 Big Problems with Big Data and How to Solve Them; Data Visualization in Python: Matplotlib vs Seaborn; The Deep Learning Toolset — An Overview; Another 10 Free Must-See Courses for Machine Learning and Data Science
- Top Stories, Apr 15-21: Data Visualization in Python: Matplotlib vs Seaborn; Data Science with Optimus Part 2: Setting your DataOps Environment
- Apr 23, 2019.
Also: Best Data Visualization Techniques for small and large data; K-Means Clustering: Unsupervised Learning for Recommender Systems; An Introduction on Time Series Forecasting with Simple Neural Networks & LSTM; The Rise of Generative Adversarial Networks
- Top KDnuggets tweets, Apr 10–16: Math for Programmers teaches you the #math you need to know; The Third Wave Data Scientist – what skills are required?
- Apr 17, 2019.
Also: 4 Reasons Why Your Machine Learning Code is Probably Bad; Google launches an end-to-end #AI platform Also #AutoML Tables; How to Recognize a Good Data Scientist Job From a Bad One; Another 10 Free Must-Read Books for Machine Learning and Data Science
- Top Stories, Apr 8-14: How to Recognize a Good Data Scientist Job From a Bad One; An Introduction on Time Series Forecasting with Simple Neural Networks & LSTM
- Apr 16, 2019.
Also: Which Data Science / Machine Learning methods and algorithms did you use in 2018/2019 for a real-world application?; Why Data Scientists Need To Work In Groups; Advice for New Data Scientists
- Top March Stories: Another 10 Free Must-Read Books for Machine Learning and Data Science
- Apr 15, 2019.
Also: Artificial Neural Networks Optimization using Genetic Algorithm with Python; Who is a typical Data Scientist in 2019?
- Top KDnuggets tweets, Apr 03–09: Top 8 Sources For #MachineLearning and Analytics Datasets
- Apr 10, 2019.
Also: Preprocessing data for data science (Part 1); The Deep Learning Toolset — An Overview; How to Choose the Right Chart Type; Top KDnuggets tweets: Here is a great explanation of what is a scalar, vector, matrix, #tensor; Which Data Science / Machine Learning methods and algorithms did you use in 2018/2019?
- Top Stories, Apr 1-7: Top 10 Coding Mistakes Made by Data Scientists; Another 10 Free Must-See Courses for Machine Learning and Data Science
- Apr 8, 2019.
Also: 7 Qualities Your Big Data Visualization Tools Absolutely Must Have and 10 Tools That Have Them; Getting started with NLP using the PyTorch framework; Predict Age and Gender Using Convolutional Neural Network and OpenCV; Which Face is Real?
- Top KDnuggets tweets, Mar 27 – Apr 02: Here is a great explanation of what is a scalar, vector, matrix, tensor
- Apr 3, 2019.
Here is a great explanation of what is a scalar, vector, matrix, tensor; Machine Learning and Data Science Cheat Sheets; Papers with Code: A Fantastic GitHub Resource for Machine Learning.
- Top Stories, Mar 25-31: R vs Python for Data Visualization; The Deep Learning Toolset — An Overview
- Apr 2, 2019.
Also: Pedestrian Detection in Aerial Images Using RetinaNet; How to Choose the Right Chart Type; Explaining Random Forest (with Python Implementation); A Beginner's Guide to Linear Regression in Python with Scikit-Learn; The Four Levels of Analytics Maturity
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TabPy: Combining Python and Tableau