Meta Learning

Meta learning i.e. learning how to learn is still the limitation of deep learning on which people are constantly working. There is the race going on to achieve a sufficiently good accuracy and if done would be one of the most game changing discovery in this field. By: Ashish Ohri

Limitations of Deep Learning Models

Rather than spitting out everything Google threw at me, if I searched for limitations of Deep Learning, I want to share the difficulties that I faced in my small but happening professional life as Machine Learning Engineer. Interpretability I was developing a time series forecasting model for one client and when presenting them with the model,…
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Know the Limitations

Not Everything can be Deep learned: Deep learning although having wide applications cannot be used in every area. Certain areas require programming or scientific methods. For example, deep learning cannot be use in data preparation. Lack of knowledge: A lot of people do not know about deep learning. The people who know about deep learning…
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Save the Earth

We live on it, we depend on it and still we don’t appreciate it enough. We don’t care enough. We keep destroying it without thinking about what we are leaving behind. In what condition will we leave out planet for our children? I am sure many of us think about it, but we just don’t…
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Data Science for Water

The world is facing several problems related to water: flooding, drought, access to potable water, availability of water for agricultural production, pollution of water resources, and an absence of basic sanitation. The public and private sector, profit and non-profit alike, are all working tirelessly to develop tools to improve the decision-making process to better forecast,…
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Data Science in New Scientific Discoveries

New Scientific Discoveries leads to New Innovations New Discoveries that lead this world to New ideas, Achievements and something for which our existence occurs. All the past Scientific Discoveries like discovering new molecules, drugs, new species, planets, stars all happened by taking a lot of time may be taken centuries of time; but there are problems…
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I know what you’re thinking

One thing that is certainly common as well as an important aspect of any big company or even a small startup is, ‘customers’. And when it comes to giving your best service to the users, to feed their insatiable needs; understanding their mindset can be really helpful. If you could decipher, know what they’re thinking,…
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DATA SCIENCE, Nurturing Happiness

Some Thoughts: In our minds, probably we all would have thought at some or the other point of our lives, “What if, I would have taken that alternate career path”. Sure, many of us are passionate about our work, and few have turned their passion into work. As the saying goes, “Choose a job you…
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Data Science in the Pharmaceutical Industry

This post goes over how Data Science is helping big Pharmaceutical companies make informed decisions by analysing the historical data they have to make predictive models. To understand the pain point that predictive modelling addresses in the pharma industry, let us go over some numbers: It takes approximately 8 years for a new drug to…
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Text mining for better insights

Text mining is the process of analyzing (usually unstructured) text in order to get useful insights. Typical tasks in text mining include: Data retrieval, cleaning and shaping Pattern recognition Document clustering Sentiment analysis Relationship, fact and event extraction Disambiguation – i.e. whether word “Excel” means the Microsoft product or the good classic cartridge razor of Gillette Typical…
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