The Roles of a Data CatalogThe difficulties of data management have intensified at a steady pace over the past several years. The management complexities of big data, cloud hosting, self-service analytics, and tightening regulations can’t be ignored. Effective data management has become a top priority for most organizations, but getting there is challenging. Data catalogs … [Read more...] about 20 Criteria You Should Use To Choose A Data Catalog
Data Science & Engineering
How to Organize Data Labeling for Machine Learning: Approaches and Tools
If there was a data science hall of fame, it would have a section dedicated to labeling. The labelers’ monument could be Atlas holding that large rock symbolizing their arduous, detail-laden responsibilities. ImageNet — an image database — would deserve its own style. For nine years, its contributors manually annotated more than 14 million images. Just thinking about it makes … [Read more...] about How to Organize Data Labeling for Machine Learning: Approaches and Tools
Getting Started with Text Preprocessing for Machine Learning & NLP
Based on some recent conversations, I realized that text preprocessing is a severely overlooked topic. A few people I spoke to mentioned inconsistent results from their NLP applications only to realize that they were not preprocessing their text or were using the wrong kind of text preprocessing for their project.With that in mind, I thought of shedding some light around … [Read more...] about Getting Started with Text Preprocessing for Machine Learning & NLP
Machine Learning Project Structure: Stages, Roles, and Tools
Various businesses use machine learning to manage and improve operations. While ML projects vary in scale and complexity requiring different data science teams, their general structure is the same. For example, a small data science team would have to collect, preprocess, and transform data, as well as train, validate, and (possibly) deploy a model to do a single … [Read more...] about Machine Learning Project Structure: Stages, Roles, and Tools
Major Challenges for Machine Learning Projects
Although scientists, engineers, and business mavens agree we might have finally entered the golden age of artificial intelligence when planning a machine learning project you have to be ready to face much more obstacles than you think.Deep learning algorithms like AlphaGo are breaking one frontier after another, proving that machines can already be able to play complex … [Read more...] about Major Challenges for Machine Learning Projects
How to Prevent Embarrassment in AI
How will you prevent embarrassment in machine learning? The answer is… partially.Expect the unexpected!Wise product managers and designers might save your skin by seeing some issues coming a mile off and helping you cook a preventative fix into your production code. Unfortunately, AI systems are complex and your team usually won’t think of everything.There will be … [Read more...] about How to Prevent Embarrassment in AI
Algorithmic Solutions to Algorithmic Bias: A Technical Guide
I want to talk about technical approaches to mitigating algorithmic bias.It’s 2019, and the majority of the ML community is finally publicly acknowledging the prevalence and consequences of bias in ML models. For years, dozens of reports by organizations such as ProPublica and the New York Times have been exposing the scale of algorithmic discrimination in criminal risk … [Read more...] about Algorithmic Solutions to Algorithmic Bias: A Technical Guide
How Netflix Uses Contextually-Aware Algorithms To Personalize Movie Recommendations
The key success factor of your customer experience personalization comes from the effectiveness of your recommender system. How well can you predict what each of your customers is willing to buy when they go to your website or enter your shop?In this article, we want to share with you some of the Netflix’s approaches to building a successful recommender system. Netflix is a … [Read more...] about How Netflix Uses Contextually-Aware Algorithms To Personalize Movie Recommendations
3 Ways to Automate Marketing with Machine Learning
With the latest advances in technology, you can tap into a massive audience using all sorts of online and offline channels. However, these aren’t necessarily advantages. Without the right tools, it’s nearly impossible to figure out how and where to focus your marketing efforts.Automation makes marketing a lot less complex and exhausting. Implementing machine learning … [Read more...] about 3 Ways to Automate Marketing with Machine Learning
Multi-Touch Marketing Attribution Models: A Comprehensive Guide
We continue our comprehensive guide on historical marketing attribution models. In this article, we discuss multi-touch attribution approaches. Read about single-touch marketing attribution approaches in the first part of this series.Multi-Touch Marketing Attribution ModelsIn contrast to single-touch models that assign a contributing value to just one touchpoint, the … [Read more...] about Multi-Touch Marketing Attribution Models: A Comprehensive Guide