A new guidebook from Dataiku explores the basic concepts of machine learning. Learn about the common algorithms used in machine learning today as well as how to evaluate and fine-tune these models. Download the full report to discover why machine learning is growing and what it can potentially do for your business.
Machine Learning Basics: An Illustrated Guide for Non-Technical Readers
Putting Data Science in Production
This guide is designed to help your organization find the common ground needed to empower your Data Science and IT Teams to work together for the benefit of your data projects as a whole.
The 5 Key Challenges to Building a Successful Data Science Lab & Data Team
This 21 page ebook will teach you how to address, avoid, and fix the main challenges that come up in Data Science Laboratory Environments.
Advanced Analytics, The Modern Marketer’s Best Friend
Download our free white paper to get a global understanding of how analytics are shaking up marketing and what you can do about that!
From Small to Big Data, Adopting the Advanced Analytics Mindset
Going from small to big data requires understanding the new mindset. In 9 steps, this guide book can help you with that.
How Data Science Can Save the Traditional Banking Industry
In today’s technologically advancing world, traditional banking groups are being seriously challenged. As Google, Amazon, Facebook, Apple offer more and more banking services and financial technology startups gain traction, the banking industry must take a look at how it can stay competitive. To do this, banking needs to rely on data science.
How to Grow your Data Science Team
If you’re building or growing a data science team, the first reflex is to hire new talent. Before you do so, take a few moments to ask yourself the following questions.