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AWS vs Azure


ajay0245

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6 minutes ago, ajay0245 said:

Assoc developer is better?

not planning to work in AWS, but planned to move to Python/Big Data..

u ll need to develop python bigdata solutions within aws

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1 minute ago, Sarvapindi said:

Ba ekkada poinav inni dinal

Remote oppurtunity no cash cheskoniki try chesthunna kaka. Masth busy vuntunna day time la. Inka night time yedo okati new cooking and day time tickets close cheyyatam busy vunna.

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11 minutes ago, Sarvapindi said:

Ai ml daaka enduku...pyhthon sakkaga nerchukunte ade ekkuva...market la ee thella munda kidukul mastunnar python ai ml lo.....

Infact ml.is easy

70-80 % of people who consider who work on ml are pure idiots 

First of of all u have to understand data.

Why are u implementing ml

There are 2 ways y one wants to implement ml/ai

 

1) to perform things what humans do and perfect them  mimick the same procedures what humans follow

2) to comple scarp the the use of the system what humans follow and Design develop and implement a new system where we completely remove the errors done by humans

Of all first understand data and perform Eda u can. Under how to implement ml/ai

Most of the desis don't understand this

They think that implementation of regression is ml /ai

Or learning python and one visualization tool is called a data scientist or they just ask for data and implement ai/ml

If u want to learn ml /ai

U have to understand real work scenarios  

Sagam santa America vachama

Mana Desi burrows lo unnama 

Weekends beer biryani  ante 

But aa outreach lekunda ee tech  meda padutunnaru tech wise u may be a genius

But  implementation is tough

Its something like me daggara rice trees unnaya.

This is just an example

 

Oka company ki ml implementing chesa how to assign a sales person to a particular lead 

1).look at the area where we get  mad leads 

2) look at demographics of the area.

3) look at what time of the year we get more leads

4) look at closing ratio of the each sales person

5)   compare demographics of the lead generated to the ethnicity of the sales person

Based on this I ranked a sales person by 1-100

After all this results 

Used regression to predict whether this person can do the sale or not 

I had an accuracy of 70% %  which  i believe is decent

For now I am still working on perfecting it 

 

 

 

 

 

 

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19 minutes ago, Sucker said:

Ee lopu bucket thannestham. Yendi vaa naa love da daily sadavala mruddi kinda ki muppai vachina kuda. 

U must be a life long leaner

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11 minutes ago, Sucker said:

Remote oppurtunity no cash cheskoniki try chesthunna kaka. Masth busy vuntunna day time la. Inka night time yedo okati new cooking and day time tickets close cheyyatam busy vunna.

Good job bro. Two jobs that’s the way to go.ela okka year cheste chalu , can buy home in FL.

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33 minutes ago, kevinUsa said:

First understand data

Then learn python 

Understand big data concepts

Understand how can u use in real time

Learn azure/.aws how can u use their systems to do 

Data cleansing

Exploratory data analysis

After u understand all these learn ml.

And ai

Before ai and ml understand stats 

Algebra

Calculus

 

 

inni cheyala unkul ? easy ga 3-4 weeks lo ayipoyedi untey sepparadey @Spartan to guide me

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Just now, Tellugodu said:

Good job bro. Two jobs that’s the way to go.ela okka year cheste chalu , can buy home in FL.

Adi realize ayye DB GeeBee bandh pettina. Anni mooskoni money meeda padda 👍

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3 minutes ago, kevinUsa said:

Infact ml.is easy

70-80 % of people who consider who work on ml are pure idiots 

First of of all u have to understand data.

Why are u implementing ml

There are 2 ways y one wants to implement ml/ai

 

1) to perform things what humans do and perfect them  mimick the same procedures what humans follow

2) to comple scarp the the use of the system what humans follow and Design develop and implement a new system where we completely remove the errors done by humans

Of all first understand data and perform Eda u can. Under how to implement ml/ai

Most of the desis don't understand this

They think that implementation of regression is ml /ai

Or learning python and one visualization tool is called a data scientist or they just ask for data and implement ai/ml

If u want to learn ml /ai

U have to understand real work scenarios  

Sagam santa America vachama

Mana Desi burrows lo unnama 

Weekends beer biryani  ante 

But aa outreach lekunda ee tech  meda padutunnaru tech wise u may be a genius

But  implementation is tough

Its something like me daggara rice trees unnaya.

This is just an example

 

Oka company ki ml implementing chesa how to assign a sales person to a particular lead 

1).look at the area where we get  mad leads 

2) look at demographics of the area.

3) look at what time of the year we get more leads

4) look at closing ratio of the each sales person

5)   compare demographics of the lead generated to the ethnicity of the sales person

Based on this I ranked a sales person by 1-100

After all this results 

Used regression to predict whether this person can do the sale or not 

I had an accuracy of 70% %  which  i believe is decent

For now I am still working on perfecting it 

 

 

 

 

 

 

Pakkitni Aunty bedroom wall anukoni - Page 3 - Discussions ...

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5 minutes ago, kevinUsa said:

Infact ml.is easy

70-80 % of people who consider who work on ml are pure idiots 

First of of all u have to understand data.

Why are u implementing ml

There are 2 ways y one wants to implement ml/ai

 

1) to perform things what humans do and perfect them  mimick the same procedures what humans follow

2) to comple scarp the the use of the system what humans follow and Design develop and implement a new system where we completely remove the errors done by humans

Of all first understand data and perform Eda u can. Under how to implement ml/ai

Most of the desis don't understand this

They think that implementation of regression is ml /ai

Or learning python and one visualization tool is called a data scientist or they just ask for data and implement ai/ml

If u want to learn ml /ai

U have to understand real work scenarios  

Sagam santa America vachama

Mana Desi burrows lo unnama 

Weekends beer biryani  ante 

But aa outreach lekunda ee tech  meda padutunnaru tech wise u may be a genius

But  implementation is tough

Its something like me daggara rice trees unnaya.

This is just an example

 

Oka company ki ml implementing chesa how to assign a sales person to a particular lead 

1).look at the area where we get  mad leads 

2) look at demographics of the area.

3) look at what time of the year we get more leads

4) look at closing ratio of the each sales person

5)   compare demographics of the lead generated to the ethnicity of the sales person

Based on this I ranked a sales person by 1-100

After all this results 

Used regression to predict whether this person can do the sale or not 

I had an accuracy of 70% %  which  i believe is decent

For now I am still working on perfecting it 

 

 

 

 

 

 

ba..nuv just learning anav idantha epudu chesinav...python nerchukunnava

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Just now, Sarvapindi said:

ba..nuv just learning anav idantha epudu chesinav...python nerchukunnava

Cheppina kada anta trail or error

Ml.ki  pycaret untadi u have understand how to use it

Oka 10-15 times run cheste anta set

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