Language Detection with fastText

 Buy Now
  

Price: 19.99$

Learn Language Detection with the machine learning and fasttext. Build a strong foundation in Machine Learningwith this tutorial. Understanding of Language Detection Leverage Machine Learning to train and predict sentiments of reviews Use fast Text for training word vectors Use fast Text word embeddings for Language Detection A Powerful Skill at Your Fingertips Learning the fundamentals of Language Detection puts a powerful and very useful tool at your fingertips. fast Text is free, easy to learn, has excellent documentation. Jobs in machine learning area are plentiful, and being able to learn Language Detection with machine learningwill give you a strong edge. Machine Learning is becoming very popular. Alexa, Siri, IBMDeep Blue and Watson are some famous example of Machine Learning application. Understanding word embeddings is vital in information retrieval, Language Detection and document annotation. Learning word embeddings with machine learningwill help you become a machine learning developer which is in high demand. Big companies like Google, Facebook, Microsoft, Air Bn B and Linked Inalready using word embeddings with machine learningin information retrieval, content ranking, sentiment analysis and ad targeting in social platforms. They claimed that using Machine Learning and word embeddings has boosted productivity of entire company significantly. Content and Overview This course teaches you on how to build Language Detection using open source fast Text framework. You will work along with me step by step to build following answers Introduction to sentiment analysisfast Text deepdive Training fast Text model Tune the accuracy of model Learn use cases of fasttext What am I going to get from this course?Learn Language Detection with fasttext and Machine Learning programming from professional trainer from your own desk. Over 10lecturesteaching you word embeddings Suitable for beginner programmers and ideal for users who learn faster when shown. Visual training method, offering users increased retention and accelerated learning. Breaks even the most complex applications down into simplistic steps. Offers challenges to studentsto enable reinforcement of concepts. Also solutions are described to validate the challenges.