This book will be of benefit to you if you are a software developer/machine learning engineer trying to understand the state-of-the-art in NLP. A large part of the book deals with real-life problems and considerations for creating an NLP pipeline. If you are an NLP researcher, there is a lot of value here because you will learn about the internal algorithms and considerations taken while developing the fastText software. All the code examples are written in Jupyter Notebooks. I highly recommend you type them out, change them, and tinker with them. Keep the code handy so that you can use it later in your actual projects.
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Joydeep Bhattacharjee is a Principal Engineer who works for Nineleaps Technology Solutions. After graduating from National Institute of Technology at Silchar, he started working in the software industry, where he stumbled upon Python. Through Python, he stumbled upon machine learning. Now he primarily develops intelligent systems that can parse and process data to solve challenging problems at work. He believes in sharing knowledge and loves mentoring in machine learning. He also maintains a machine learning blog on Medium.
Read more about Joydeep Bhattacharjee
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Joydeep Bhattacharjee is a Principal Engineer who works for Nineleaps Technology Solutions. After graduating from National Institute of Technology at Silchar, he started working in the software industry, where he stumbled upon Python. Through Python, he stumbled upon machine learning. Now he primarily develops intelligent systems that can parse and process data to solve challenging problems at work. He believes in sharing knowledge and loves mentoring in machine learning. He also maintains a machine learning blog on Medium.
Read more about Joydeep Bhattacharjee