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Machine Learning: A Guide for Non-Technical Readers

Machine learning has become a water-cooler topic across industries. And the chatter about the possibilities of AI and deep learning certainly isn’t slowing down anytime soon. Download the new report from Dataiku that offers a guide to machine learning basics for non-technical readers.

How to Choose Your Own Adventure for Business and Data Analysts

For business and data analysts, the future is full of unknowns. The good news is that their in a great position to steer the evolution of their roles in this new era of big and fast data. Download the new guidebook from Dataiku that explores the different roles of today’s business and data analysts, as well as trends and what lies ahead for these professionals.

Successfully Predict Content Users Will Like Using a Recommendation Engine

Recommendation engines can be used to improve businesses across industries, from media to e-commerce and more. A new report from Dataiku explores the ins and outs of these tools and explores how recommendation engines can be an effective way to drive more eyes to your content.

Recommendation Engines: Learn How to Drive More Users to Your Content

A new guide from Dataiku provides a high-level overview of recommendation engines, how they’re built, and how they can be used to improve your business. Download the full report to find out how recommendation engines can be an effective way to drive more eyes to your content.

Machine Learning Basics: An Illustrated Guide for Non-Technical Readers

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. 

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.