New resolutions to become a data scientist have to be made! And surely things can only get better after the tumultuous ride that's been 2020? And what better way to end this year and welcome the new one than planning out your entire career in one place? That's right – we are back with the most in-demand learning path in the data science community! Every year we release the data science learning path which is viewed and loved by thousands of data science aspirants all around the globe.

Objective: Now that you have a taste of deep learning and how it applies in the NLP context, it's time to take things up a notch. Dive into advanced deep learning concepts like Recurrent Neural Networks (RNNs), Long Short Term Memory (LSTM), among others. These will help you gain a mastery of industry-grade NLP use cases.

Objective: Now that you have a taste of deep learning and how it applies in the NLP context, it's time to take things up a notch. Dive into advanced deep learning concepts like Recurrent Neural Networks (RNNs), Long Short Term Memory (LSTM), among others. These will help you gain a mastery of industry-grade NLP use cases.

What a time to be working in the deep learning space! Deep learning is ubiquitous right now. From the top research labs in the world to startups looking to design solutions, deep learning is at the heart of the current technological revolution. We are living in a deep learning wonderland! Whether it's Computer Vision applications or breakthroughs in the field of Natural Language Processing (NLP), organizations are looking for a piece of the deep learning pie.

A Comprehensive Learning Path for Deep Learning in 2019 January 2, 2019 Introduction If there is one area in data science which has lead to the growth of Machine Learning and Artificial Intelligence in the last few years, it is Deep Learning. From research labs in universities with low success in industry to powering every smart device on the planet – Deep Learning and Neural Networks have started a revolution. Deep learning is ubiquitous – whether it's Computer Vision applications or breakthroughs in the field of Natural Language Processing, we are living in a deep learning-fueled world. Thanks to the rapid advances in technology, more and more people are able to leverage the power of deep learning. At the same time, it is a complex field and can appear daunting for newcomers.

If there is one area in data science which has led to the growth of Machine Learning and Artificial Intelligence in the last few years, it is Deep Learning. From research labs in universities with low success in industry to powering every smart device on the planet – Deep Learning and Neural Networks have started a revolution. Deep learning is ubiquitous – whether it's Computer Vision applications or breakthroughs in the field of Natural Language Processing, we are living in a deep learning-fueled world. Thanks to the rapid advances in technology, more and more people are able to leverage the power of deep learning. At the same time, it is a complex field and can appear daunting for newcomers.