Machine Learning with AWS AI and IBM Watson

About Machine Learning with AWS AI and IBM Watson

The AI revolution is here. Are you prepared? Machine learning is the most evolving technology which has changed the digital world. We all are surrounded by numerous effective ML projects like IBM Watson, Google brain, Edgecase, Cortana, Alexa, tesla self driving car and many more. All movie recommendation apps like IMDB, Netflix and many of them are using machine learning to add personalized features so that involvement of users could increase. There are many more use cases of ML and AI in the real world and it is not possible for me to discuss all of them into description jokes apart if you really want to create one of them, then this course is only for you. In this course you'll learn and deploy all the machine learning services using IBM Bluemix and Amazon AWS. This course covers from theoretical concepts to hands on deploying cloud services. It will make you job ready to grab high paying jobs. You will be able to integrate the cloud 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. Services covered in this learning path: Watson Services (IBM Bluemix) like- 1.

Watson Assistant

_to_ _build and deploy chatbots and virtual assistants._ 2.

Watson Discovery

_to expose insights from the data by applying AI functions_ 3.

Watson Speech to Text (STT)

_to easily convert audio and voice into written text._ 4.

Watson Text to Speech (TTS)

_to convert written text into natural-sounding audio in a variety of languages and voices_. 5.

Watson Language Translator

_helps in dynamically translate news, patents or conversational documents._ 6.

Watson Natural Language Classifier

_helps in interpreting and classify natural language with confidence._ 7.

Watson Natural Language Understanding

_to analyze text to extract metadata from content such as concepts, entities and sentiment_. 8.

Watson Visual Recognition

_is used_ _to classify and search visual content using machine learning._ 9.

Watson Tone Analyzer

_to understand and analyze emotions and tones in written content._ 10.

Watson Personality Insight

_is used to predict personality characteristics, needs and values through written text._ Machine Learning Services (Amazon AWS) like- 1.

Amazon Sagemaker

_to build, train, and deploy machine learning models at scale_ 2.

Amazon Comprehend

_for natural Language processing and text analytics_ 3.

Amazon Lex

_for conversational interfaces for your applications powered by the same deep learning technologies as Alexa_ 4.

Amazon Polly

_to turn text into lifelike speech using deep learning_ 5.

Object and scene detection

_to detect object and scenes from the image_ 6.

Image moderation

_to check unsafe content from the image_ 7.

Facial analysis

_can easily detect when faces appear in images and videos and get attributes such as gender, age range, eyes open, glasses, facial hair for each._ 8.

Celebrity recognition

_to recognize any celebrity character from the image_ 9.

Face comparison

_helps in comparing face from different images_ 10.

Text in image

_to detect text_ 11.

Amazon Transcribe

_for automatic speech recognition_ 12.

Amazon Translate

_for natural and accurate language translation_ And many more things All

machine learning lovers

are most welcome and enroll now and

build application

based on cognitive computing , AI and ML.