3 Best Machine Learning Framework for design, experiment and deployment

previous post - Artificial Intelligence #AI for social media

ML / DL framework for deployment and experiment

*) Listed framework is opensource

*) It provides dashboard

*) Configure, organize, log and reproduce experiments

*) make prototyping experiments easier

Machine learning life cycle framework

List of opensource ML framework

*) MLFlow
    ** An open source platform for the complete machine learning lifecycle

    ** It currently offers three components: MLflow Tracking, MLflow Projects, MLflow Models

---

*) Sacred
    ** configure, organize, log and reproduce experiments

    ** easily run your experiment for different settings

---

*) FGLab
    ** machine learning dashboard, designed to make prototyping experiments easier.

    ** here are 3 ways to run FGLab: Installing locally, via Docker, or hosted on Heroku.

---

If anything can be add / missed out, mention in the comments section.

In next blog will discuss possible use-case from Education AREAS FOR AI INTERVENTION.

Next :

Big Data / Data Analytics Job

Data Architect   3-7+ years   

Salary : £70000 - £75000 per annum     location : Central London

Posted: 26/06/2018    Job Type : Permanent

Job Ref: 439101143    Skills & Apply ->

Data Scientist   3-7+ years   

Salary : £232 - £298 per day     location : London

Posted: 18/06/2018    Job Type : Temporary

Job Ref: 775109025    Skills & Apply ->

#AI for social media analytics

previous post - Artificial Intelligence #AI for Agriculture

List of social media research trend in deep learning / Artificial Intelligence

*) Most of them who using smartphone actively involved in Social Media. the social platform is one of the major sources for gathering and collecting data analysis for the researcher.

*) Here I have listed few use cases and research area from social media data.

AI for social media

List of social media usecase for AI

*) Detecting incidents of cyber bullying
    Input: text feed from social media conversations
    Output: cyber bullying victim and bully identified

---

*) Characterizing mental stress and suicidal tendencies
    Input: text feed from online profiles and conversations
    Output: people suspected to have stress or suicidal tendencies are flagged

---

*) Understanding the stress level of students
    Input: Social Media feed
    Output: Predicting the stress level of students and based upon stress level give them consultation

---

*) Predicting the molesters and eve-teasers
    Input: Social Media feed and history
    Output: Predicting the behaviour of a person.

---

*) Predicting the fake locations on social Media
    Input: Image uploaded by user
    Output: Predicting exact location

If anything can be add / missed out, mention in the comments section.

In next blog will discuss possible use-case from AREAS FOR AI INTERVENTION.

Next :

Top list of Artificial Intelligence in Indian Agriculture - research ideas

previous post - #AIforAll - focus area for #AI in India

List of Agriculture project idea in deep learning / Artificial Intelligence

*) Agriculture is one of the hot areas where AI can be utilized to increase the farmer's crop productivity and reduce the loss.

*) Idea include, classification for disease control, weather prediction etc..

AI for Agriculture

List of agriculture area for AI

*) Plant disease identification using leaf images

*) Plants Recognition using Convolutional Neural Networks

*) Fruits counting for automatic inventory management

*) Land cover segmentation & classification using image data

*) Crop type classification using image classification

*) Pest detection and classification using image classification

*) Weed plant detection from agricultural field images

*) Predicting yield, soil moisture and weather using images processing

*) Plant Gene Classification and Functionality Prediction

*) Automated quality assessment of crops

If anything can be add / missed out, mention in the comments section.

In next blog will discuss possible use-case from AREAS FOR AI INTERVENTION.

Next :

#AIforAll - AI in India : Use case & scenario explained by NITI AAYOG

post - #AIforAll - focus area for #AI in India

National Strategy for Artificial Intelligence

*) NITI AAYOG released National Strategy for Artificial Intelligence, Download #AIFORALL

Findings in National Strategy for #AI

Top 5 - #AI Personality mentioned in doc

There are around 30 unique personility mentioned in the #AIforAll doc

*) Andrew Ng
*) Von Ahn
*) Sam Altman
*) Olga Russakovsky
*) Marvin Minsky

Scenario discussed in #AI strategy

Box 1: Machine Learning and Deep Learning

---

travel substantial distances for basic and advanced healthcare services. (Box 2: What TMH's Cancer

---

Box 3: Government of India's push for Universal Healthcare Coverage

---

Box 4: AI for India's cancer woes

---

Box 5: Application for soil care

---

Box 7: AI for herbicide optimization

---

Box 9: Creating ‘smart content' for improved interactivity

---

Box 10: Microsoft is helping in predicting drop outs in Andhra

---

Box 12: Effect on R&D

---

Box 13: What India can learn from other economies in terms of AI

---

Box 14: The PRAIRIE Institute

---

reduce operational and maintenance costs while keeping national data secure (Box 11: AIRAWAT)

---

ICTAI Inc., the overall governing body for ICTAIs, could be the DARPA (see Box 16) equivalent of AI

---

Box 16: Defense Advanced Research Projects Agency

---

Box 17: European Organization for Nuclear Research aka CERN

---

Box 18: Impact sourcing through Samasource

---

Box 19: Why the focus on PSUs

---

Box 19: Decoding Explainable AI

---

Box 20: Differential Privacy

---

Box 21: ImageNet

Top 5 - Country mentioned in doc

There are 52 unique place mentioned in the strategy documnts

*) India

*) China

*) Japan

*) France

*) Germany

In next blog will discuss possible use-case from AREAS FOR AI INTERVENTION.

Next :

#aiforall National Strategy for Artificial Intelligence from NITI AAYOG

post - AI / Data science Jobs

National Strategy for Artificial Intelligence

*) NITI AAYOG released National Strategy for Artificial Intelligence, Download #AIFORALL

FOCUS AREAS FOR AI INTERVENTION in India

*) Healthcare

*) Agriculture

*) Education

*) Smart Cities and Infrastructure

*) Smart Mobility and Transportation

In next blog will discuss possible use-case from AREAS FOR AI INTERVENTION.

Next :