Technologies Trending Currently and Please Please UPGRADE OR ADD MORE VALUE TO THE TOPIC DISUCSSED AND NOT STUPID GIF, useless COMMENTS

[afacc123]

1 minute ago, Popkatapetapotapulti said:

aa city peru vinadam first time 

I see a huge potential in mongo in coming fews it will be well evident, lets see. 

python remains as long as laptops exist...just saw your ML course list what was lacking in the path. If yuou are interested I will share that with ya. 

Bentonville, AR

Enterprise wide implementation would you see Mongo potentially compared to Cassandra???

Have not entered the Python era yet, so would keep MUM

have not understood the message you tried to convey @Popkatapetapotapulti as to what lacking in the path and mind you those are not my courses if you read closely but just a list of courses planning to finish in my technical interests lane.

Of course I am interested and would appreciate and encourage you to share at the earliest... Time is Money... TICK TICK TICK...TOCK

[vendettaa]

1 hour ago, afacc123 said:

question how data is in Terabytes and if we can come to an conclusion that would be great

 

it is sensitive, PM please

hope you understand @thanks

 data TB lo untundi 

it could  be historic or streaming data 

Data analysis processing and if u want to mine data n get insights from it  building Models upon that data ,diniki mottam different thinking approach undali

i do see here u r intrested on angular React ,that is purely front end ,nothing to do with ML and big data

Current working  data pipeline cheptanu 

 teradata -mongodb-kafka-hadoop(hive)(spark).... mariadb -...webservices ...UI 

[Lakhan]

25 minutes ago, vendettaa said:

 data TB lo untundi 

it could  be historic or streaming data 

Data analysis processing and if u want to mine data n get insights from it  building Models upon that data ,diniki mottam different thinking approach undali

i do see here u r intrested on angular React ,that is purely front end ,nothing to do with ML and big data

Current working  data pipeline cheptanu 

 teradata -mongodb-kafka-hadoop(hive)(spark).... mariadb -...webservices ...UI 

Vuuu

[macha]

11 hours ago, afacc123 said:

Armando Fandango - Mastering TensorFlow 1.x - 2018

S.Raschka - Python Machine Learning - 2017

Shukla N. - machine learning with tensorflow - 2017

Mastering TensorFlow 1.x

Sebastian Raschka - Python Machine Learning - 2016

Combs A. - Python Machine Learning Blueprints - 2016

Dixon J. - Mastering .NET Machine Learning - 2016

Kevin P. Murphy - Machine Learning_ A Probabilistic Perspective - 2012

Swamynathan M. - Mastering Machine Learning with Python in Six Steps - 2017

C. Rasmussen, C. Williams - Gaussian Processes for Machine Learning - 2006

Joshi P. - Python Machine Learning Cookbook - 2016

These are just PDF above for machine learning

Videos

Udacity - Machine Learning Engineer Nanodegree

Getting Started with Machine Learning in R [Video]

Machine Learning A-Z - Hands On Python and R In Data Science

Total Training - Machine Learning - Python Programming From Beginner to Intermediate

Machine Learning with TensorFlow [Video]

Hands-on Machine Learning for Data Mining [Video]

Lynda - Machine_Learning_for_iOS_Developers

Machine Learning with Python - Data Science for Beginners

Kamath U., Choppella K. - Mastering Java Machine Learning - 2017

Python Machine Learning in 7 Days [Video]

Building Machine Learning Models in Spark 2

Packt.Step.by.Step.Machine.Learning.with.Python

Lynda - Machine Learning and AI Foundations - Clustering and Association

Packt - Python Machine Learning Tips Tricks and Techniques

Machine Learning iOS 11

Udemy - A Beginner's Guide To Machine Learning with Unity

Building Machine Learning Systems with TensorFlow [Video]

Packt - Machine Learning with Go

Lynda - AWS Machine Learning by Example

Sarkar D., Bali R., Sharma T. - Practical Machine Learning with Python - 2018

Aurelien Geron - Hands On Machine Learning with Scikit-Learn and TensorFlow - 2017

Ghatak A. - Machine Learning with R - 2017

Nick McClure - TensorFlow Machine Learning Cookbook - February 2017

Bonnin R. - Building Machine Learning Projects with TensorFlow - 2016

Kumar R. - Machine Learning and Cognition in Enterprises - 2017

Haroon D. - Python Machine Learning Case Studies - 2017

Lesmeister C. - Mastering Machine Learning with R, 2nd Edition - 2017

Gollapudi S. - Practical Machine Learning - 2016

Dua R., Ghotra M.S., Pentreath N. - Machine Learning with Spark, Second Edition - 2017

David Barber - Bayesian Reasoning and Machine Learning

Karim R., Kaysar M. - Large Scale Machine Learning with Spark - 2016

Kirk M. - Thoughtful Machine Learning with Python - 2017

Raschka S., Julian D., Hearty J. - Python Deeper Insights into Machine Learning - 2017

Isoni A. - Machine Learning for the Web - 2016

 

Hope this is what is being targeted @macha

Coding anything related to ml is only suggested to learn in octave this is huge list man this can be overwhelming 

[afacc123]

1 hour ago, vendettaa said:

 data TB lo untundi 

it could  be historic or streaming data 

Data analysis processing and if u want to mine data n get insights from it  building Models upon that data ,diniki mottam different thinking approach undali

i do see here u r intrested on angular React ,that is purely front end ,nothing to do with ML and big data

Current working  data pipeline cheptanu 

 teradata -mongodb-kafka-hadoop(hive)(spark).... mariadb -...webservices ...UI 

🤩 you are a STAR architect for sure

makes a whole lot of sense adding PURE VALUE CORE to the topic at hand

 

would eventually cover ML and big data, just a time factor

 

kudos to you @vendettaa

 

thanks for sharing deep insights

this is what drives me

Edited August 6, 2018 by afacc123
mistakes

[afacc123]

39 minutes ago, macha said:

Coding anything related to ml is only suggested to learn in octave this is huge list man this can be overwhelming 

The list is to provide insight into the possibilities of exploring ML

your suggestion though hughely wlecome why learning in octave only? Is that widely used or either we are getting hugely helpful inputs from you on where to start digging

kindly elaborate @macha

thanks a lot for your intellectual inputs 

[bala7]

7 hours ago, afacc123 said:

The list is to provide insight into the possibilities of exploring ML

your suggestion though hughely wlecome why learning in octave only? Is that widely used or either we are getting hugely helpful inputs from you on where to start digging

kindly elaborate @macha

thanks a lot for your intellectual inputs 

 

[Popkatapetapotapulti]

On 8/5/2018 at 5:15 PM, afacc123 said:

Bentonville, AR

Enterprise wide implementation would you see Mongo potentially compared to Cassandra???

Have not entered the Python era yet, so would keep MUM

have not understood the message you tried to convey @Popkatapetapotapulti as to what lacking in the path and mind you those are not my courses if you read closely but just a list of courses planning to finish in my technical interests lane.

Of course I am interested and would appreciate and encourage you to share at the earliest... Time is Money... TICK TICK TICK...TOCK

those videos/courses you shared is not a course path. Course path: course A->Course B->expert in ML ala 

will share it 

[futureofandhra]

24 minutes ago, Popkatapetapotapulti said:

those videos/courses you shared is not a course path. Course path: course A->Course B->expert in ML ala 

will share it 

Share it bro cool 

[redmonster1]

Good info .

[gundugadu]

On 8/3/2018 at 1:30 PM, afacc123 said:

have been working in the technology field and did not keep myself up to date but being on bench learning all these technologies and its definitely overwhelming 

 

Active MQ, Akka, Angular JS, Block Chain, Cassandra, DevOPS, GoLang, Hadoop, Kafka, Kibana, Kubernetes, Linux, MongoDB, Node.JS, Python, RabbitMQ, React, Redis, Ruby on Rails, Scrum Certification, Spring ( Various Modules )

 

Requesting all my Brothers and Friends to update sincerely and not get suck with the monolithic day to day job, come home and sleep.

effing hacker ranks can be cleared by reading the PDF "Cracking the Coding Interview, 6th Edition 189 Programming Questions and Solutions" PM

"Cracking-the-PM-Interview-How-to-Land-a-Product-" PM 

 

 

 

Thanks for sharing latest techs out there.

I was really trying hard to get hands on with Python and Power BI technologies recently

[macha]

On 8/5/2018 at 10:10 PM, afacc123 said:

The list is to provide insight into the possibilities of exploring ML

your suggestion though hughely wlecome why learning in octave only? Is that widely used or either we are getting hugely helpful inputs from you on where to start digging

kindly elaborate @macha

thanks a lot for your intellectual inputs 

octave makes your life easier and learning faster... most of the complex algo calculations are inbuilt so you can concentrate on what is important...

[afacc123]

On 8/7/2018 at 10:33 AM, Popkatapetapotapulti said:

those videos/courses you shared is not a course path. Course path: course A->Course B->expert in ML ala 

will share it 

Am aware it is not a course path but for great people who are already walking the talk, they can give their insights on the path which I Believed is just done

 

Cannot wait to look at the things shared.... time is money

[afacc123]

On 8/7/2018 at 10:57 AM, futureofandhra said:

Share it bro cool 

has it been shared yet??

Can upload some PDF's but not sure how to upload

[afacc123]

On 8/7/2018 at 11:36 AM, macha said:

octave makes your life easier and learning faster... most of the complex algo calculations are inbuilt so you can concentrate on what is important...

ok

Octave/matlab .... matlab rings a bell though but Octave is discreet.. google around to find it or reach out to @macha(the google alternative)

 

Well that makes it clear

Thanks a lot @macha