Machine Learning with Watson and Azure
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Machine Learning with Watson and Azure
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 2.33 GB
Genre: eLearning Video | Duration: 20 lectures (4 hour, 46 mins) | Language: English
Explore various cloud services related to ML
What you'll learn
Cognitive Computing and how Watson changes the game
On completion of this course you would be able 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
Requirements
Nothing required at all! but if you have a background in computer science or development, it would be beneficial, but not required at all.
You should have Microsoft Azure account
Description
As Machine learning and cloud computing are trending topic and also have lot of job opportunities
If you have interest in machine learning as well as cloud computing then this course for you. This course will let you use your machine learning skills deploy in cloud. There are various cloud platform but only few are popular like Azure, AWS, IBM Bluemix and GCP.
You could integrate these services in your Web, Android, IoT, Desktop Applications like Face Detection, ChatBot, Voice Detection, Text to custom Speech (with pitch, emotions, etc), Speech to text, Sentimental Analysis on Social media or any textual data.
You are about to learn Machine Learning tools and techniques on IBM Bluemix (Watson) and Microsoft Azure.
Watson Services like-
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.
Azure services like-
1. Computer Vision
2. Content Moderator
3. Custom Vision
4. Text Analysis
5. Translator
Who this course is for:
Anyone who is curious to experiment with Artificial Intelligence and develop applications or simply interested in exploring IBM Watson and its powerful services available on IBM Cloud.
Kod:
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