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Measuring Impact: Top 4 Attribution and Incrementality Strategies

I believe you have gone through part 1 and understood what Attribution and Incrementality mean and why it is important to measure these metrics. Below, we will discuss some methods that are commonly used across the industry to achieve our goals. Before we...

Detectron2 FPN + PointRend Model for amazing Satellite Image Segmentation

Satellite image segmentation has been in practice for the past few years, it has a wide range of real-world applications like monitoring deforestation, urbanization, traffic, identification of natural resources, urban planning, etc. We all know image segmentation is...

HYPER DASH: How To Manage The Progress Of Your Algorithm In Real-time?

Most of our readers who work with Machine Learning or Deep Learning models daily understand the struggle of peeking at the terminal to check for the completion status of the model training. Models training for hundreds of epochs can take several hours to complete....

DECIPHERING: How do Consumers make Purchase Decisions?

Background: Suppose you are looking for a product on a particular website. As soon as you commence on the journey of making; the first search for a product, fidgeting on the idea to either buy it or not, and finally purchasing it, you are targeted or tempted by...

Natural Language Inferencing (NLI) Task: Demonstration Using Kaggle Dataset

Natural Language Inferencing (NLI) task is one of the most important subsets of Natural Language Processing (NLP) which has seen a series of development in recent years. There are standard benchmark publicly available datasets like Stanford Natural Language Inference...

In-Store Traffic Analytics: Retail Sensing with Intelligent Object Detection

1. What is Store Traffic Analytics? In-store traffic analytics allows data-driven retailers to collect meaningful insights about customer’s behavioral data. The retail industry receives millions of visitors every year. Along with fulfilling the primary objective of a...

The Evolution of Movies : How has it changed with time?

“Cinema is a mirror by which we often see ourselves.” - Alejandro Gonzalez Inarritu If 500 people saw a movie, there exist 500 different versions of the same idea conveyed by the movie. Often movies reflect culture, either what the...

Hotel Recommendation Systems: What is it and how to effectively build one?

What is a Hotel Recommendation System? A hotel recommendation system aims at suggesting properties/hotels to a user such that they would prefer the recommended property over others. Why is a Hotel Recommendation System required? In today’s data-driven world, it would...

Marketing Mix Modelling: What drives your ROI?

There was a time when we considered traditional marketing practices, and the successes or failures they yield, as an art form. With mysterious, untraceable results, marketing efforts lacked transparency and were widely regarded as being born out of the creative...

Top 5 Emerging AI & ML Trends to Watch Out for in 2021

Gartner’s report reveals that around 37% of businesses across the industries are leveraging AI and ML technologies in some form to scale up the business. To back this report — it’s predicted that 80% of modern technologies use in an IT organization will be...

The Emergence of Augmented Analytics & How it is Helping to Create a Data-Driven Organization?

In the last few years, the data flowing from various sources has changed the way organizations work and solve their business problem. Identifying potential data points, collecting data, and storing it in a highly secured place has been a need of the hour for many big...

Moving Beyond Remote

3 steps to ensure a safe work transition With the rollout of vaccines and dipping fresh infection rates, many organizations around the world are flagging off work from the workplace albeit cautiously. Given the unpredictability around the virus and its unsurprising...

Accelerate Your eCommerce Sales with Big Data and AI for 2021

Holiday season is the most exciting time of the year for businesses. It has always driven some of the highest sales of the year. In 2019, online holiday sales in the US alone touched $135.35 billion and the average order value hit $152.95. After an unprecedented 2020,...

ProGAN, StyleGAN, StyleGAN2: Exploring NVIDIA’s breakthroughs

This article focuses on exploring NVIDIA’s approach on generating high quality images using GANs and progress made in each of its successor networks. Photo by Nana Dua on Unsplash Back in 2014, Ian Goodfellow and his colleagues presented the much...

Chatbot in Python-Part 1

According to Gartner, “by 2022, 70% of white-collar workers will interact with conversational platforms daily.” According to an estimate, more than 67% of consumers worldwide used a chatbot for customer support in the past year, and around 85% of all customer...

Demystifying the struggles of adopting AI in the Manufacturing Sector

“For half of the businesses in the Manufacturing sector, AI adoption is still an unexplored area with a hand full of complex workflows and a mind full of uncertain queries.” A recent study conducted by the MAFI Foundation revealed that only 5% of manufacturing firms...

Gradient Boosting Trees for Classification: A Beginner’s Guide

Introduction Machine learning algorithms require more than just fitting models and making predictions to improve accuracy. Nowadays, most winning models in the industry or in competitions have been using Ensemble Techniques to perform better. One such technique...

Revealing the Secrets of Creating New Game Characters Without Using Paintbrush

Introduction In the gaming industry, the studios are responsible for the design and development of any game. A game designer will be responsible for providing multiple design ideas for various In-game components like characters, maps, scenes, weapons, etc.To develop a...

Recommendation Systems for Marketing Analytics

How I perceive recommendation systems is something which the traditional shopkeepers used to use. Remember the time when we used to go shopping with our mother in the childhood to the specific shop. The shopkeeper used to give the best recommendations for the...

CatBoost – A new game of Machine Learning

Gradient Boosted Decision Trees and Random Forest are one of the best ML models for tabular heterogeneous datasets. CatBoost is an algorithm for gradient boosting on decision trees. Developed by Yandex researchers and engineers, it is the successor of...

Python Newbie – Doctest

Any Software Development process consists of five stages: Requirement AnalysisDesignDevelopmentTestingMaintenance Though each and every process mentioned above is important in SDLC lifecycle, this post will mainly focus on the importance of testing and...

Recommendation Systems for Beginners

Why do we need a recommendation system ? Let us take the simplest and the most relatable example of E-commerce giant, Amazon. When we shop at Amazon, it gives us the options of bundles and products that are usually bought along with the product you are currently going...

Bring your Art to Life with Pix2Pix

As an artist, I always wondered if I could bring my art to life. Although, it makes no sense, what if I told you that this was possible with Machine Learning? Imagine a machine learning algorithm that can convert all your sketches with a simple line of your drawing as...

Evolution Of Human Resource In The New World Of Technology How has the Human Resources changed with time?

Of all the departments and functions in a corporate organization, Human Resource is theone function related to employees' personal aspects. The entire employee job cycle is takencare of by the Human Resources (HR), ranging from hiring, compensation, leavemanagement,...

Making our Data Scientists and ML engineers more efficient (Part 2)

In the last post, we briefly touched upon the concept of MLOps and one of its elements, namely the Feature Store. We intend to cover a few more interconnected topics that are key to successful ML implementations and realizing sustained business impact. At Affine, we...

Making our Data Scientists and ML Engineers more Efficient (Part 1)

There is a lot of backend grunt work involved in deploying an ML model successfully before we even begin to realize its business benefits. More than 60-70% of the effort that goes into an ML project involves what we call as the “glue work” – from EDAs to getting the...

Super-Resolution with Deep Learning for Image Enhancement

Have you ever looked at your old photographs and hoped it had better quality? Or wished to convert all your photos to a better resolution to get more likes? Well, Deep learning can do it! Image Super Resolution can be defined as increasing the size of small images...

Semantic Literature Search Powered by Sentence-BERT

Suppose you were given a challenge to pick out a horror novel from a small collection of books, without any prior information regarding these books. How would you go about this task in the most efficient way possible? The most appropriate strategy would be flicking...

Bidirectional Encoder Representations for Transformers (BERT) Simplified

In the past, Natural Language Processing (NLP) models struggled to differentiate words based on context due to the use of shallow embedding methods for text analysis. Bidirectional Encoder Representations for Transformers (BERT) has revolutionized the NLP...

TensorFlow Lite: The Future of AI in Mobile Devices

Do you use Google Services on your mobile phones? If so, you would have probably noticed that the predictive capability of this service has recently improved with respect to speed and accuracy. The enhanced predictive capability of Google is now faster, thanks to...

AI in Robotic Process Automation – The Missing Link

Robotic Process Automation as we know it today is a framework through which large scale processes can be automated. The biggest advantage of current RPA systems is that they can be easily integrated with current IT and Software systems. RPA can be used to automate...

Capsule Network: A step towards AI mimicking human learning systems

1. A quick introduction to Convolution Neural Networks The field of computer vision has witnessed a paradigm shift after the introduction of Convolutional Neural Network (CNN) architectures which has pushed AI performance at par with humans. There...

Are Streaming-services like Stadia the future of Gaming?

1. IntroductionUber has revolutionized the way of commute since its launch. Traveling short distances has never been hassle free. Earlier people used to use their personal vehicles to cover small distances. Other alternative was to use public transport which is...

HOW TO BUILD A LEGAL DOCUMENT SUMMARIZER?

Have you ever thought how legal experts manage series of court statements effectively! Reading ~500 paged document and drawing out the general context from it with salient details - understanding, interpreting, explaining and researching a wide variety of legal...

CORPORATE STORYTELLING – A MYTHOLOGICAL PERSPECTIVE

Stories are powerful, ideas are omnipotent. The world as we perceive now, is the cumulative product of innumerable ideas over a period of about 70,000 years. We as humans, start believing in ideas when they come wrapped inside stories. For centuries, stories have...

NB-NET – A Convolutional Neural Network based Classification Approach for Detecting Foot Overstep No Balls in Cricket

During the seventh match of the ongoing 12th season of the Indian Premier League between Royal Challengers Bangalore and Mumbai Indians at Bengaluru, Mumbai Indians defeated Royal Challengers Bangalore by 6 runs to register first win in IPL 2019. In what was a...

Isolating Toxic Comments to prevent Cyber Bullying

Online communities are susceptible to Personal Aggression, Harassment, and Cyberbullying. This is expressed in the usage of Toxic Language, Profanity or Abusive Statements. Toxicity is the use of threats, obscenity, insults, and identity based hateful language. Our...

Learn How to Classify Documents Using Computer Vision and NLP

Many companies, especially those in BFSI and Legal sectors, deal with a large volume of handwritten and scanned documents. It is difficult to easily use the granular information in these documents to perform an analysis or even browse through the documents in a...

Transmorphosizing Banking Through Artificial Intelligence

Banking is re-inventing itself as it always has “Help us build the kind of bank you want to use” – That’s what Monzo says to its customers. Monzo is a UK based banking app with no usage fees, no branches, no mortgages and zero charges for spending abroad. While...

Data Augmentation For Deep Learning Algorithms

Plentiful high-quality data is the key to great deep learning models. But good data doesn’t come easy, and that scarcity can impede the development of a good model. It’s relatively easy for a model to identify things from an image when everything is ‘Just Right’ —the...

HowStat – Application Of Data Science In Cricket

Data science helps us to extract knowledge or insights from data- either structured or unstructured- by using scientific methods like mathematical or statistical models. In the last two decades, it has been one of the most popular fields with the rise of all big data...

The Evolution Of Data Analytics – Then, Now And Later

The loose definition of data science is to analyze data of a business, to be able to produce actionable insights and recommendations for the business. The simplicity or the complexity of the analysis, aka the level of “Data Science Sophistication” also impacts the...

Changing Business Requirements In Demand Forecasting

Affine recently completed 6 years, I have been a part of it for about 3 of those years. As an analytics firm, the most common business problem that we have come across is that of forecasting consumer demand. This is particularly true for Retail and CPG...

Analytics For Non Profit Organisation

Analytics have been growing at a rapid pace across the world. The well-established companies have realized the importance of analytics in their business where crucial decisions are taken that drives their revenue. But why do just the well-established corporates need...

IoT And Analytics In Auto Insurance

Internet of Things (IoT) is a network of connected physical objects embedded with sensors. IoT allows these devices to communicate, analyze and share data about the physical world around us via networks and cloud-based software platforms. In the current scenario, IoT...