Machine Learning with Watson and Azure by Pranjal Srivastava

Machine Learning with Watson and Azure Udemy

Friends, this time we are going to share an excellent option to perfect your professional skills. Machine Learning with Watson and Azure by Pranjal Srivastava is the most sought after course by users and one of the most popular on Udemy, the best online course platform.

Machine Learning with Watson and Azure by Pranjal Srivastava

Get Udemy Course

About the author Pranjal Srivastava

I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.

Udemy Machine Learning with Watson and Azure course description

If you think you don’t have advanced skills in machine learning and data science, then use cloud capabilities to build applications with various ML functionalities. Yes, machine learning with cloud computing, i.e. Intelligent cloud has lots of lot benefits like pay as you go, easily scaling up or down accordingly the demand, doesn’t require any high end skills and many more. Machine learning require lots of processing power and to get cost effective and scalable app requires dedicated servers for it. Intelligent cloud not only give the solution of the mentioned problems, but also other benefits like chatbot services, cognitive services, big analytics tools and so on. In this course, you’ll learn and manage various cognitive services like image recognition, video analysis, speech to text, text to speech, translation, language analysis and many more. You are about to learn Machine Learning tools and techniques on IBM Bluemix (Watson) and Microsoft Azure. Walk through the course: IBM Watson: Watson Assistant  -> Build and deploy chatbots and virtual assistants. Watson Discovery  -> Uncover connections in data by combining automated ingestion with advanced AI functions. Watson Speech to Text  (STT) ->Easily convert audio and voice into written text. Watson Text to Speech (TTS)  ->Convert written text into natural-sounding audio in a variety of languages and voices. Watson Language Translator  ->Dynamically translate news, patents or conversational documents. Watson Natural Language Classifier  ->Interpret and classify natural language with confidence. Watson Natural Language Understanding -> Analyze text to extract metadata from content such as concepts, entities and sentiment. Watson Visual Recognition  ->Tag, classify and search visual content using machine learning. Watson Tone Analyzer  ->Analyze emotions and tones in written content. Watson Personality Insights -> Predict personality characteristics, needs and values through written text. Microsoft Azure: Computer Vision -> Tag, classify and search visual content using machine learning. Content Moderator -> Detection of potential offensive and unwanted images/videos Custom Vision -> Applying computer vision to your specific scenario Text Analysis -> Analyze text to extract metadata from content such as concepts, entities and sentiment. Translator -> Dynamically translate news, patents or conversational documents. Now you understand coupling machine learning and cloud computing together is the most worthwhile things for the business/startups. In this learning path, you’ll be doing so much . I’m sure you’ll love this amazing journey and learn a lot. Then why you’re waiting for? Enroll Now !!

Machine Learning with Watson and Azure Info:

Download Udemy Course

What is included in this Udemy course?

Learn about Cognitive Computing and how Watson changes the game Learn to develop and deploy your applications over IBM Cloud- Bluemix. and having command over the Watson services and tools available. Using Watson Visual Recognition to tag and classify visual content using machine learning Capabilities of the Watson API and how to choose the best features for your task Using Watson Assistant to build an AI assistant(ChatBot) Using Watson Watson Discovery to unlock hidden values to find answers , monitor trends and surface patterns Using Watson Natural Language Understanding for advanced text analysis Using Watson Knowledge Studio to discover meaningful insights in unstructured text. Using Watson Speech to Text to easily convert audio and voice into written text Using Watson Text to Speech to convert text into natural-surrounding audio Using Watson Language Translator to translate from one language to another Using Watson Natural Language Classifier to interpret and classify natural language with confidence Using Watson Personality Insights to predict personality characteristics through text Using Watson Tone Analyzer to understand emotions and communications style in text Text Analytics Detecting Language Analyze image and video Recognition handwritten from text Generate Thumbnail Content Moderator Custom Vision Translate Show more Show less

What do I need to do this course?

No Data