Today, Artificial Intelligence (AI) can drive effective solutions to lots of marketing challenges. It can help you optimize your advertising budget, personalize your customers’ experience, suggest the most accurate attribution model, boost your marketing analytics, and even generate original brand content, including images and advertising slogans. However, AI is evolving so … [Read more...] about 5 Ways To Leverage AI Research In Marketing & Advertising
Technology
AI For Portfolio Management: From Markowitz To Reinforcement Learning
Artificial intelligence, machine learning, big data, and other buzzwords are disrupting decision making in almost any area of finance. On the back office, machine learning is widely applied to spot anomalies in execution logs, for risk management and fraudulent transaction detection. At the front office, AI is used for customer segmentation and support and pricing the … [Read more...] about AI For Portfolio Management: From Markowitz To Reinforcement Learning
Data Labeling For Natural Language Processing
Why Does Training Data Matter? Machine Learning has made significant strides in the last decade. This can be attributed to parallel improvements in processing power and new breakthroughs in Deep Learning research. Another key reason is the abundance of data that has been accumulated. Analysts estimate humankind sits atop 44 zettabytes of information today. The … [Read more...] about Data Labeling For Natural Language Processing
The 5 Components Towards Building Production-Ready Machine Learning Systems
Introduction The biggest issue facing machine learning is how to put the system into production. Machine learning systems differ from traditional software in two fundamental ways: Machine learning is never fully deterministic; therefore, the performance of an ML system can’t be evaluated against a strict specification. Instead, it should always be evaluated against … [Read more...] about The 5 Components Towards Building Production-Ready Machine Learning Systems
Take Your Machine Learning Models To Production With These 5 Simple Steps
Creating a great machine learning system is an art. There are a lot of things to consider while building a great machine learning system. But often it happens that we as data scientists only worry about certain parts of the project. But do we ever think about how we will deploy our models once we have them? I have seen a lot of ML projects, and a lot of them are doomed … [Read more...] about Take Your Machine Learning Models To Production With These 5 Simple Steps
Attention For Time Series Forecasting And Classification
Transformers (specifically self-attention) have powered significant recent progress in NLP. They have enabled models like BERT, GPT-2, and XLNet to form powerful language models that can be used to generate text, translate text, answer questions, classify documents, summarize text, and much more. With their recent success in NLP one would expect widespread adaptation to … [Read more...] about Attention For Time Series Forecasting And Classification
Top 10 Technical AI and Machine Learning Conferences in 2020
The AI & ML field is growing at a very fast rate, and as a research scientist or ML engineer, you definitely want to keep track of the latest research advances, especially in your area of interest. To stay aware of the most important research breakthroughs, you can follow our regular research summaries across the main ML research fields. For connecting with other … [Read more...] about Top 10 Technical AI and Machine Learning Conferences in 2020
Semantic Search: Theory And Implementation
It took me a long time to realise that search is the biggest problem in NLP. Just look at Google, Amazon and Bing. These are multi-billion dollar businesses possible only due to their powerful search engines. My initial thoughts on search were centered around unsupervised ML, but I participated in Microsoft Hackathon 2018 for Bing and came to know the various ways a … [Read more...] about Semantic Search: Theory And Implementation
Who Is Your Golden Goose? Learn With Cohort Analysis
Customer segmentation is the technique of diving customers into groups based on their purchase patterns to identify who are the most profitable groups. In segmenting customers, various criteria can also be used depending on the market such as geographic, demographic characteristics or behavior bases. This technique assumes that groups with different features require different … [Read more...] about Who Is Your Golden Goose? Learn With Cohort Analysis
Recommendation Systems in the Real World
Too few choices are bad but too many choices can lead to paralysis Have you heard about the famous Jam Experiment? In 2000, psychologists Sheena Iyengar and Mark Lepper from Columbia and Stanford University presented a study based on their field experiment. On a regular day, consumers shopping at an upscale grocery store at a local food market were presented with a tasting … [Read more...] about Recommendation Systems in the Real World