COMPLETE Machine Learning BOOTCAMP
Created by Pranjal Srivastava, Last Updated 02-Jul-2020, Language:English
COMPLETE Machine Learning BOOTCAMP
Develop Cognitive Application on AWS and Microsoft AZURE
Created by Pranjal Srivastava, Last Updated 02-Jul-2020, Language:English
What Will I Get ?
- Amazon Sagemaker to build, train, and deploy machine learning models at scale
- Amazon Comprehend for natural Language processing and text analytics
- Amazon Lex for conversational interfaces for your applications powered by the same deep learning technologies as Alexa
- Amazon Polly to turn text into lifelike speech using deep learning
- Object and scene detection,Image moderation,Facial analysis,Celebrity recognition,Face comparison,Text in image and many more
- Amazon Transcribe for automatic speech recognition
- Amazon Translate for natural and accurate language translation
- Echo Bot
- Facebook Chat bot
- Question and Answer Maker
- LUIS(Language Understanding)
- Text Analytics
- Detecting Language
- Analyze image and video
- Recognition handwritten from text
- Generate Thumbnail
- Content Moderator
- Custom Vision
- Translate
- Simple chatbot integrate in HTML websites
Requirements
- If you have a background in computer science or development, it would be beneficial.
- You should have an AWS Account or Microsoft Azure account
- You should have a Facebook business page
Description
In this course we will learn and practice all the services of AWS Machine Learning which is being offered by AWS Cloud. There will be both theoretical and practical section of each AWS Machine Learning services.This course is for those who loves machine learning and would build application based on cognitive computing , AI and ML.
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.
Machine Learning Services like-
Amazon Sagemaker to build, train, and deploy machine learning models at scale
Amazon Comprehend for natural Language processing and text analytics
Amazon Lex for conversational interfaces for your applications powered by the same deep learning technologies as Alexa
Amazon Polly to turn text into lifelike speech using deep learning
Object and scene detection,Image moderation,Facial analysis,Celebrity recognition,Face comparison,Text in image and many more
Amazon Transcribe for automatic speech recognition
Amazon Translate for natural and accurate language translation
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.
Microsoft Azure a cloud platform where we will going to deploy machine learning skills.
In this course you will going to learn following topics
Concept of Machine Learning
Cognitive Services
Text Analytics
Detecting Language
Analyze image and video
Recognition handwritten from text
Generate Thumbnail
Content Moderator
Translate
and many more things
ALL THE BEST !!
Course Content
-
AZURE Machine Learning Overview
1 Lectures 00:11:36-
Introduction to Azure Machine Learning
Preview00:11:36
-
-
Computer vision
2 Lectures 00:14:37-
Computer Vision : Create Service
Preview00:10:20 -
Computer Vision : Analyze image , text in image and generate thumbnail
00:04:17
-
-
Content Moderator
4 Lectures 00:18:05-
Content Moderator:Text Moderation
Preview00:08:11 -
Content Moderator:Image and Video Moderation
Preview00:05:37 -
Content Moderator : Explore Dashboard
00:01:03 -
Content Moderator : Create Instance
00:03:14
-
-
Custom Vision
4 Lectures 00:12:04-
Custom Vision : Create project
00:03:55 -
Custom Vision : Upload Image and add tags
00:04:05 -
Custom Vision : Train model and predict unlabeled image
00:03:10 -
Custom Vision : Delete Resource
00:00:54
-
-
Text Analytics
5 Lectures 00:19:16-
Text Analytics :Create Service
00:02:36 -
Text Analytics :Language Detection
00:05:16 -
Text Analytics :Sentiment Analysis
00:04:33 -
Text Analytics :Key Phrase Extraction
00:02:54 -
Text Analytics :Entity Recognition
00:03:57
-
-
Translate
2 Lectures 00:11:57-
Translate :Creating Service
00:02:33 -
Translate :Deploy
00:09:24
-
-
AWS Machine Learning
1 Lectures 00:10:11-
Introduction to AWS Machine Learning
00:10:11
-
-
Amazon Comprehend
5 Lectures 00:20:12-
Amazon Comprehend
00:07:24 -
Practical:Amazon Comprehend
00:05:54 -
(PythonBoto3)Comprehend 1
00:02:04 -
(PythonBoto3)Comprehend 2
00:01:54 -
(PythonBoto3)Comprehend 3
00:02:56
-
-
Amazon Lex and Amazon Polly
6 Lectures 00:46:29-
Amazon Lex
00:08:05 -
Amazon Lex Part-2
00:07:06 -
Amazon Polly
00:06:57 -
Practical:Chatbot using Amazon Lex
00:11:54 -
Practical:Amazon Polly
00:09:56 -
(PythonBoto3)Polly
00:02:31
-
-
Amazon Rekognition
9 Lectures 00:30:59-
Amazon Rekognition
00:06:12 -
Object and scene detection(Overview)
00:03:33 -
Object and scene detection(Practical)
00:02:45 -
(PythonBoto3)Detect Label
00:02:38 -
Facial analysis(Overview)
00:03:31 -
Facial analysis(Practical)
00:04:38 -
(PythonBoto3)Detect Face
00:02:00 -
Celebrity recognition(Overview)
00:02:42 -
(PythonBoto3)Celebrity Recognition
00:03:00
-
-
Amazon SageMaker and AWS DeepLens
2 Lectures 00:15:26-
Amazon SageMaker
00:09:49 -
AWS DeepLens
00:05:37
-
-
Machine Learning (Using Amazon ML to Predict Responses to a Marketing Offer)
5 Lectures 00:23:29-
ML 1 -Prepare Your Data
00:02:02 -
ML 2-Create a Training Datasource
00:04:27 -
ML 3-Create an ML Model
00:00:54 -
ML 4-Use the ML Model to Generate Predictions
00:12:28 -
ML 5-Clean Up
00:03:38
-
-
Amazon Transcribe and Translate
6 Lectures 00:32:55-
Amazon Transcribe
00:06:12 -
Amazon Translate
00:04:12 -
Practical:Amazon Transcribe
00:10:11 -
(PythonBoto3)Transcribe
00:06:49 -
Practical:Amazon Translate
00:03:22 -
(PythonBoto3)Translate
00:02:09
-

Pranjal Srivastava
SME of AWS & IBM Cloud
I am passionate developer, machine learning enthusiast, coder and bug fixer. Developed many applications on various platforms including python, java, android, php, etc.
I have worked over cloud on IBM Bluemix, AWS, and Microsoft Azure. Prefer digital marketing and SEO in my free time.
I am IBM certified Python developer.
Created own Programming language in Hindi .
#ILoveIndia
#LoveOpenSource #SmartProgrammer