Video Description
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, youโll be introduced to the Natural Processing Language and Recommendation Systems, which help you run multiple algorithms simultaneously. Also, youโll learn about Deep learning and TensorFlow. Finally, youโll 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.