Saama Blog

Big Data Insights on Saama solutions and services

Attention Mechanism: Benefits and Applications

By Suriyadeepan Ramamoorthy | April 19, 2018

Recurrent Neural Networks (RNNs) are powerful neural network architectures used for modeling sequences. LSTM (Long Short Term Memory) based RNNs are surprisingly good at capturing long-term dependencies in the sequences. A barebones sequence-to-sequence/encoder-decoder architecture performs incredibly well in tasks like Machine Translation. A typical sequence-sequence architecture consists of an encoder and a decoder RNN. The…

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Women and Data Science

By Archana Iyer | March 8, 2018

It is well-known that there are far fewer women techies and those that do choose work in tech, somehow avoid data science. Archana Iyer discusses the merits of having more women in the field of data science and presents some reasons why she feels that women’s innate temperament is highly suited to data science.

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Blockchain Smart Contract Security

By Arjun Bahuguna | February 28, 2018

Blockchain is a digital ledger in which cryptocurrency transactions are recorded. In this article, Arjun Bahuguna discusses ethereum, a public blockchain, as it is the most popular platform for writing smart contracts and building decentralized applications.

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Poincarè Embeddings for Representing Hierarchical Data

By Soham Chatterjee | February 14, 2018

Embeddings are the best way to create efficient representations of words and graphs. In this article, Soham Chatterjee talks about problems in the Euclidean plane representations and explains how Hyperbolic Poincaré Embeddings work.

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Quantization and the Need for TPUs

By Archana Iyer | January 17, 2018

Archana dives into the world of TPUs and discusses quantization, the process that is really responsible for making predictions in a neural network, lending a magical touch to the machine learning process. Read on to understand how quantization can be both a boon and a bane, depending on where it is used.

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Reflections 2017: All Roads Lead to Excellence in Data Analytics Solutions and Services

By Suresh Katta | January 3, 2018

As I look back at our accomplishments in 2017, I am delighted at the progress we have made on many fronts to make Saama a very relevant contributor to the life sciences industry. Over the course of the year, we have expanded our global presence, achieved significant technological milestones, and added several industry luminaries to…

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Different Kinds of Convolutional Filters

By Soham Chatterjee | December 20, 2017

Convolutional Neural Networks have brought about huge changes in computer vision and other image related tasks. Soham Chatterjee discusses how different convolution operations work and uses illustrations of design techniques for different filters to explain them in depth.

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machine learning

Applications of Signal Processing in Machine Learning

By Archana Iyer | December 13, 2017

Data is available abundantly in today’s world. However, it is noisy most of the time. In this article, Archana Iyer discusses some filter processing techniques that can help us get a better quality of data. With the advent of IoT, many types of medical data are now available in the form of sensor data. This…

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Thanksgiving Week: Acknowledging Everything that Deserves Our Gratitude

By Crystal Black | November 21, 2017

Today, in a world where it’s easy to be caught up in the day-to-day tasks, we forget to take a moment to pause and say a heartfelt, “thank you,” especially when there is so much to be thankful for. Crystal Black does just that in this post, keeping in with the spirit of Thanksgiving.

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machine learning

Capsule Networks and the Limitations of CNNs

By Soham Chatterjee | November 16, 2017

Convolutional Neural Networks are considered the State-of-the-Art in computer vision related Machine Learning tasks. Soham Chatterjee highlights the limitations of CNNs and discusses alternate models that closely mirror the way the human brain work. He uses Professor Geoffrey Hinton’s paper, Dynamic Routing Between Capsules, to establish certain points. Convolutional Neural Networks, popularly called CNNs, have…

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Deep Learning

Deep Learning Diaries: Building Custom Layers in Keras

By Abhai Kollara | November 1, 2017

There are many deep learning libraries available, some are more popular than the others, and some get used for very specific tasks.  Abhai Kollara discusses the merits of Keras and walks us through various examples of its uses and functionalities. He also compares it with some of the popular libraries. Natural Language Processing or Computer…

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machine learning

Interpretable Models are the Key to Increased Adoptability of Machine Learning

By Malaikannan Sankarasubbu | August 23, 2017

Machine learning has helped drive many technological advancements. There are two models of machine learning, which have their own pros and cons. Malaikannan Sankarasubbu discusses the way interpretable models can increase the machine learning among a wider base of communities. Machine Learning and Deep Learning are responsible for lot of technology advancements in the last…

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data analytics

Data Analytics: A Trigger for Business Transformation

By Vasant Shetty | August 2, 2017

Digital transformation has become inevitable for businesses and they need to evolve their IT information systems, else they would end-up risking their competitive positioning and advantage. Vasant Shetty draws from his experience to highlight the challenges faced by IT and their digital transformation initiatives. He also has a word for the wise regarding the future,…

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Big Data Challenges: Solving for Data Quality

By Sushil Jadhav | July 12, 2017

Data harmonization is essential for generating actionable and accurate business insights. With accurate data, an organization can see significant impact on the bottom line. Sushil Jadhav describes his experience while troubleshooting a data accuracy issue for a client. Big Data and analytics solution providers attempt to solve a problem that arises from having too much…

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retail transformation

Retail Transformation with Big Data and Analytics: Top 3 Tactics for a Successful Makeover

By Ashish Shevale | May 31, 2017

With changing shopping and behavioral patterns, the retail industry has to continuously adapt to stay relevant. Ashish Shevale discusses the battle of market shares between online e-commerce driven stores and the brick and mortar stores. Retail industry always has to be quick to embrace new technology, as consumers decide the trends. With changing shopping and…

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