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
Data Science & Engineering
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
Single-Touch Marketing Attribution Models: A Comprehensive Guide
In today’s expansive and dynamic digital economy, customers usually follow a complicated and multilayered approach before they finally convert into a sale or lead. For a prospect to become a customer, they usually make interactions with a wide range of digital touchpoints - paid advertisements, social media posts, email messages, and many other channels.This multitouch … [Read more...] about Single-Touch Marketing Attribution Models: A Comprehensive Guide
The Most Important Data Science Tool for Market and Customer Segmentation
Market and customer segmentation are some of the most important tasks in any company. The segmentation done will influence marketing and sales decisions, and potentially the survival of a company.Surprisingly, despite the advance in machine learning, few marketers are using such technology to augment their all-important market and customer segmentation efforts.In this … [Read more...] about The Most Important Data Science Tool for Market and Customer Segmentation
The Most Impactful Recent AI Trend Is The Rise of ML Engineering
The field of Machine Learning (ML) has been consistently evolving since Data Science started gaining traction in 2012. However, I believe 2018 was a critical inflection point in the ML industry. After helping Insight Fellows build dozens of ML products to get roles on applied ML teams, and reading through both corporate and academic published research … [Read more...] about The Most Impactful Recent AI Trend Is The Rise of ML Engineering
How Do AutoML Solutions Find The Optimal Machine Learning Models?
AutoML refers to techniques and tools which automate parts of the machine learning process, ranging from data collection and cleaning, to model development and testing, to production deployment and scaling. While the umbrella term does refer to a wide array of functionality, it’s most commonly used to refer to automated model selection and / or hyperparameter … [Read more...] about How Do AutoML Solutions Find The Optimal Machine Learning Models?
Data Science Project Flow for Startups
I was recently asked by a startup I’m consulting to give my opinion about the structure and flow of data science projects, which made me think about what makes them unique. Both managers and the different teams in a startup might find the differences between a data science project and a software development one unintuitive and confusing. If not stated and accounted for … [Read more...] about Data Science Project Flow for Startups
The Different Flavors of AutoML
In recent years, the demand for machine learning experts has outpaced the supply, despite the surge of people entering the field. To address this gap, there have been big strides in the development of user-friendly machine learning software (e.g. H2O, scikit-learn, keras). Although these tools have made it easy to train and evaluate machine learning models, there is still a … [Read more...] about The Different Flavors of AutoML