) KDnuggets™ News 19:n05, Jan 30: Your AI skills are worth less than you think; 7 Steps to Mastering Basic Machine Learning
Also: Logistic Regression: A Concise Technical Overview; AI is a Big Fat Lie; How To Fine Tune Your Machine Learning Models To Improve Forecasting Accuracy; Airbnb Rental Listings Dataset Mining; Data Science Project Flow for Startups
Features | Tutorials | Opinions | News | Webcasts | Courses | Meetings | Jobs | Tops | Image of the week
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Tutorials, Overviews
Opinions
News
Webcasts and Webinars
Courses, Education
Meetings
Jobs
Top Stories, Tweets
Image of the week
Are your AI skills worth as much as you think?!? Master basic machine learning with Python in 7 steps! Also this week, get a once over of logistic regression, find out why AI is a big fat lie, learn how to fine-tune your models, and much more!
Features
Your AI skills are worth less than you think
- 7 Steps to Mastering Basic Machine Learning with Python — 2019 Edition
- Logistic Regression: A Concise Technical Overview
- AI is a Big Fat Lie
- How To Fine Tune Your Machine Learning Models To Improve Forecasting Accuracy
Tutorials, Overviews
- Airbnb Rental Listings Dataset Mining
- Machine Learning Security
- Data Science Project Flow for Startups
- Building AI to Build AI: The Project That Won the NeurIPS AutoML Challenge
Opinions
- The Algorithms Aren't Biased, We Are
- Cracking the Data Scientist Interview
- Monetizing the Math - are you ready?
- The Data Science Gold Rush: Top Jobs in Data Science and How to Secure Them
News
Webcasts and Webinars
- [Webinar] Simple Steps to Distributed Deep Learning, Feb 12
- 2019 CDO Virtual Event: Empowering Business Through Data, Feb 6
Courses, Education
Meetings
Jobs
Top Stories, Tweets
- 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
- 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
Image of the week
From How To Fine Tune Your Machine Learning Models To Improve Forecasting Accuracy
