Sep
2018 Oct Top Stories, Tweets
All (116) | Courses, Education (10) | Meetings (9) | News, Features (16) | Opinions (30) | Top Stories, Tweets (11) | Tutorials, Overviews (32) | Webcasts & Webinars (8)
- Top KDnuggets tweets, Oct 24-30: Building a Question-Answering System from Scratch
- Oct 31, 2018.
Also: Implementing Automated Machine Learning Systems with Open Source Tools; New Book: #LinearAlgebra – what you need for Machine Learning and Data Science now; A General Approach to Preprocessing Text Data; Using Deep Learning To Extract Knowledge From Job Descriptions
- Top Stories, Oct 22-28: 9 Must-have skills you need to become a Data Scientist, updated; Named Entity Recognition and Classification with Scikit-Learn
- Oct 29, 2018.
Also: SQL, Python, & R in One Platform; Generative Adversarial Networks – Paper Reading Road Map; Notes on Feature Preprocessing: The What, the Why, and the How; Graphs Are The Next Frontier In Data Science; 10 Best Mobile Apps for Data Scientist / Data Analysts
- Top KDnuggets tweets, Oct 17-23: Machine Learning Cheat Sheets
- Oct 24, 2018.
Also 5 "Clean Code" Tips That Will Dramatically Improve Your Productivity; Data Science Cheat Sheet.
- Top Stories, Oct 15-21: Graphs Are The Next Frontier In Data Science; The Main Approaches to Natural Language Processing Tasks
- Oct 22, 2018.
Also: GitHub Python Data Science Spotlight; The Intuitions Behind Bayesian Optimization with Gaussian Processes; 10 Best Mobile Apps for Data Scientist / Data Analysts; Apache Spark Introduction for Beginners
- Top KDnuggets tweets, Oct 10-16: 7 Books to Grasp Mathematical Foundations of Data Science and Machine Learning; 6 Books Every Data Scientist Should Keep Nearby
- Oct 17, 2018.
Also Machine Learning Cheat Sheets; Top 8 Free Must-Read Books on Deep Learning.
- Top Stories, Oct 8-14: 10 Best Mobile Apps for Data Scientist / Data Analysts; BIG, small or Right Data: Which is the proper focus?
- Oct 15, 2018.
Also: How To Learn Data Science If You’re Broke; Top 8 Python Machine Learning Libraries; 9 Must-have skills you need to become a Data Scientist, updated; SQL, Python, & R: All in One Platform; Using Confusion Matrices to Quantify the Cost of Being Wrong
- Top KDnuggets tweets, Oct 3–9: 5 Reasons Logistic Regression should be the first thing you learn when becoming a Data Scientist
- Oct 10, 2018.
Also: Cheat sheet: Deep learning losses & optimizers; Journey to Machine Learning – 100 Days of ML Code; Math for Machine Learning; Essential Math for Data Science: ‘Why’ and ‘How’
- Top September Stories: Essential Math for Data Science: Why and How; Machine Learning Cheat Sheets
- Oct 10, 2018.
Also: Journey to Machine Learning - 100 Days of ML Code; How many data scientists are there and is there a shortage?
- Top Stories, Oct 1-7: Machine Learning Cheat Sheets; How to Create a Simple Neural Network in Python
- Oct 8, 2018.
Also: Recent Advances for a Better Understanding of Deep Learning; Basic Image Data Analysis Using Python – Part 4; A Concise Explanation of Learning Algorithms with the Mitchell Paradigm; Essential Math for Data Science: Why and How
- Top KDnuggets tweets, Sep 26 – Oct 2: Why building your own Deep Learning Computer is 10x cheaper than AWS; 6 Steps To Write Any Machine Learning Algorithm
- Oct 3, 2018.
Also: New Book: Math for #MachineLearning; How to visualize decision tree; Causation in a Nutshell; Machine Learning Cheat Sheets; Brief History of Machine Learning Models Explainability
- Top Stories, Sep 24-30: Machine Learning Cheat Sheets; Learning the Mathematics of Machine Learning
- Oct 1, 2018.
Also: Math for Machine Learning; Introducing Path Analysis Using R; Introduction to Deep Learning; Essential Math for Data Science: Why and How; 6 Steps To Write Any Machine Learning Algorithm From Scratch: Perceptron Case Study