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Here is a bit of wisdom from Elon Musk: When something is important enough, you do it even if the odds are not in …

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Introduction One of the most common problem data science professionals face is to avoid overfitting. Have you come across a situation where your model …

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Introduction “A picture speaks a thousand words” is one of the most commonly used phrases. But a graph speaks so much more than that. …

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Introduction Artificial Neural Networks (ANN) were supposed to replicate the architecture of the human brain, yet till about a decade ago, the only common …

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Developments in AI & ML are happening at break neck speed. Hardly a day goes without hearing about a new development in these field. …

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Introduction Neural networks have been around since the last century but in the last decade, they have reshaped how we see the world. From …

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Introduction I live GitHub! Not only can you follow the work happening in different domains, but you can also collaborate on multiple open source …

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Introduction Machine learning and Artificial Intelligence developments are happening at breakneck speed! At such pace, you need to understand the developments at multiple levels …

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We continue to bring you the biggest and most important developments in the ML world on AVBytes. We keep you updated so you can modify …

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Introduction TensorFlow is one of the most popular open source libraries in the Machine Learning and Deep Learning community. We see breakthroughs in diverse …

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Introduction Deep Learning is a very rampant field right now – with so many applications coming out day by day. And the best way …

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Introduction The key to getting better at deep learning (or most fields in life) is practice. Practice on a variety of problems – from …

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In recent times, one of the more popular themes in the machine learning world has been regarding computational power. As the amount of data …

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Note: This article was originally published on Oct 10, 2014 and updated on Mar 27th, 2018 Introduction In four years of my career into …

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Introduction One of the most debated topics in deep learning is how to interpret and understand a trained model – particularly in the context …

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Introduction As a beginner in the world of data science, the first algorithm I was introduced to was Linear Regression. I applied it to …

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The job of a data scientist is one of the most challenging in today’s world. You have to keep yourself up to date almost …

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Introduction Deep Learning at scale is disrupting many industries by creating chatbots and bots never seen before. On the other hand, a person just …

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Introduction Continuing our theme of collecting and sharing the top machine learning GitHub repositories every month, the February edition is fresh off the shelves …

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Introduction Breakthroughs in the field of Natural Language Processing (NLP) have seen a sudden rise in recent times. The amount of text data available …