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Goodbye 2020, Hello 2021!
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Read now2020 Data Science Review (and What to Expect in 2021)
In this 2020 wrap-up, we polled our in-house experts, drawing together their tips and insights for the end of the year and for what's to come in 2021.
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Read the blogLooking Back and Predicting 2021: Q&A With Shai Yanovski
Shai Yanovski, Explorium’s VP of Data and Data Science, walks us through the year that was, his biggest surprises, and what he sees for machine learning and data science heading into 2021.
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Read the blogThe Need for Better External Data Discovery in 2021
Read what our CEO, Maor Shlomo, learned in 2020 and why he believes that 2021 will be the ear external data discovery takes center stage.
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Read the blogThe Data Science Buzzwords and Acronyms That Defined 2020
In the spirit of the new year, let’s take a look back at all the acronyms, buzzwords, and terms that dominated data science in 2020.
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Most viewed resources
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Read nowAI is Making BI Obsolete, and Machine Learning is Leading the Way
Why are we still hung up on BI? It’s time to embrace a paradigm that empowers us to make smarter, better predictions using real data with machine learning.
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Read the blogHow Explorium Upgrades Your Data Pipeline
Building a sustainable data pipeline is critical to accurate machine learning models. Learn how Explorium supports you at every point in the process.
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1:03Watch videoExplorium: Product Overview
Explorium is the future of data science. We enable you to automatically connect to thousands of data sources, distill the best features, and deploy the best models.
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GlassesUSA.com Uses Explorium to Grow Revenue by Double Digits
GlassesUSA.com increased both conversion rate and order value with Explorium, which lead to a 15-20% increase in the per-session value for their affected segments.
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New whitepapers and ebooks
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Read nowHow to Include Data Science Platforms in Your 2021 Budget
In this brand new guide, you’ll discover the key business benefits of switching to a data science platform, whether to buy or build your own, and top tips for calculating your TCO.
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Read nowThe Essential Guide to Feature Selection
Feature selection is a key step in building powerful and interpretable machine learning models, but it’s also one of the easiest to get wrong.
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Read nowThe Guide to External Data for Better User Experiences in Financial Services
Are your KYC processes streamlined enough to get the answers you need, fast? Or are valuable customers dropping off before you get the chance to onboard them?
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Top blog posts
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Read the blogHow to Approach Data Preparation Using Python
In this blog post, we share top tips for approaching data preparation using Python, focusing on cleaning and ETL.
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Read the blogWithout Data, There’s No ML — Why You Should Focus on Data First
It’s easy to get caught up in a rush to start building your ML models. But, before you actually build them, you need to understand your goals and how to achieve them. That process begins with data.
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Read the blogMachine Learning in Retail: Building Smarter Inventory Models
See how machine learning in retail can help you build better inventory management systems.
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Explorium deep-dives
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Explorium Solution Deep Dive
This technical deep-dive breaks down the entire Explorium data science platform.
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