Getting Started with NLP and Deep Learning with Python [Video]
As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine Learning applications are everywhere, from self-driving cars to spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of Big Data and Data Science. The main challenge is how to transform data into actionable knowledge.
In this course, you’ll be introduced to the Natural Processing Language and Recommendation Systems, which help you run multiple algorithms simultaneously. Also, you’ll learn about Deep learning and TensorFlow. Finally, you’ll see how to create an Ml architecture.
Style and Approach
An easy-to-follow, step-by-step guide that will help you get to grips with real-world applications of algorithms for Machine Learning.
|Course Length||1 hour 41 minutes|
|Date Of Publication||26 Feb 2018|