Dec
2019 Jan Top Stories, Tweets
All (103) | Courses, Education (8) | Meetings (12) | News (10) | Opinions (28) | Top Stories, Tweets (10) | Tutorials, Overviews (28) | Webcasts & Webinars (7)
- Top KDnuggets tweets, Jan 23-29: What were the most significant machine learning/AI advances in 2018?
- Jan 30, 2019.
Also: Logistic Regression: A Concise Technical Overview; 7 Steps to Mastering Basic Machine Learning with Python — 2019 Edition; Data Science Project Flow for Startups; Papers with Code: A Fantastic GitHub Resource for Machine Learning
- Top Stories, Jan 21-27: 2018’s Top 7 Python Libraries for Data Science and AI; Your AI skills are worth less than you think
- Jan 29, 2019.
Also: 2018's Top 7 R Packages for Data Science and AI; Data Science Project Flow for Startups; What were the most significant machine learning/AI advances in 2018?; How to go from Zero to Employment in Data Science; Logistic Regression: A Concise Technical Overview
- Top KDnuggets tweets, Jan 16-22: How to build an API for a machine learning model in 5 minutes using Flask; Great Introduction to Deep #ReinforcementLearning
- Jan 23, 2019.
Also: Why Ice Cream Is Linked to Shark Attacks; Data Scientist’s Dilemma: The Cold Start Problem; 10 Exciting Ideas of 2018 in #NLP; What were the most significant machine learning/AI advances in 2018?
- Top Stories, Jan 14-20: How to go from Zero to Employment in Data Science; End To End Guide For Machine Learning Projects
- Jan 22, 2019.
Also: How to build an API for a machine learning model in 5 minutes using Flask; How to solve 90% of NLP problems: a step-by-step guide; Data Scientists Dilemma: The Cold Start Problem - Ten Machine Learning Examples; Ontology and Data Science; 9 Must-have skills you need to become a Data Scientist, updated
- Top KDnuggets tweets, Jan 9-15: Never mind killer robots—here are six real #AI dangers to watch out for in 2019
- Jan 16, 2019.
Also: Jupyter Notebooks Advanced Tutorial; Math for Programmers; NLP Overview: Modern Deep Learning Techniques Applied to Natural Language Processing; The Five Best Data Visualization Libraries
- Top Stories, Jan 7-13: The Five Best Data Visualization Libraries; Modern Deep Learning Techniques Applied to NLP
- Jan 15, 2019.
Also: Top 10 Books on NLP and Text Analysis; Practical Apache Spark in 10 Minutes; The cold start problem: how to build your machine learning portfolio; Core Principles of Sustainable Data Science, Machine Learning and AI Product Development; 4 Myths of Big Data and 4 Ways to Improve with Deep Data
- Top KDnuggets tweets, Jan 02-08: 10 Free Must-Read Books for Machine Learning and Data Science
- Jan 9, 2019.
Also: Papers with Code: A Fantastic GitHub Resource; Most Recommended #DataScience and #MachineLearning Books by Top MS programs;10 More Free Must-Read Books for ML and DS
- Top December Stories: Why You Shouldn’t be a Data Science Generalist
- Jan 9, 2019.
Also: Common mistakes when carrying out machine learning and data science; Learning Machine Learning vs Learning Data Science; Here are the most popular Python IDEs / Editors; 10 More Must-See Free Courses for Machine Learning and Data Science.
- Top Stories, Dec 24 – Jan 6: The Essence of Machine Learning; Papers with Code: A Fantastic GitHub Resource for Machine Learning
- Jan 8, 2019.
Also: A Guide to Decision Trees for Machine Learning and Data Science; The cold start problem: how to build your machine learning portfolio; Comparison of the Top Speech Processing APIs; Synthetic Data Generation: A must-have skill for new data scientists; Approaches to Text Summarization: An Overview
- Top KDnuggets tweets, Dec 19 – Jan 1: Deep Learning Cheat Sheets
- Jan 2, 2019.
Also: Machine Learning Cheat Sheets; Papers with Code: A Fantastic GitHub Resource for Machine Learning; Neural network AI is simple. So… Stop pretending you are a genius; Top Python Libraries in 2018 in Data Science, Deep Learning and Machine Learning
Best Python IDEs and Code Editors You Should Know