Any Machine learning engineers here ?

[yemdoing]

Any Machine learning engineers here ?

[Spartan]

exploring anna... undergrad course lu teskuntunna

[yemdoing]

5 minutes ago, Spartan said:

exploring anna... undergrad course lu teskuntunna

any links for the roadmap to become one ? Like course details, hours needed, prerequisites .... pls share what you found . PM me . 

[jpismahatma]

3 minutes ago, yemdoing said:

any links for the roadmap to become one ? Like course details, hours needed, prerequisites .... pls share what you found . PM me . 

Udemy try chesava bro?

[Spartan]

17 minutes ago, yemdoing said:

any links for the roadmap to become one ? Like course details, hours needed, prerequisites .... pls share what you found . PM me . 

https://pll.harvard.edu/course/data-science-machine-learning

deeniki konni pre reqs kavali .. doing them

[VictoryTDP]

12 minutes ago, Spartan said:

https://pll.harvard.edu/course/data-science-machine-learning

deeniki konni pre reqs kavali .. doing them

Pre reqs not listed kadha?

[Spartan]

6 minutes ago, VictoryTDP said:

Pre reqs not listed kadha?

stats and probability cover cheyali avi doing

[csrcsr]

1 hour ago, yemdoing said:

Any Machine learning engineers here ?

First Andrew NG coursera most popular basic one you need have good foundation for linear algebra, stats , probabikity

[tables]

DevOps aipoindi ippudu deeni meeda paddara? Deeni pippi teese varku no resting ?

[yemdoing]

8 hours ago, tables said:

DevOps aipoindi ippudu deeni meeda paddara? Deeni pippi teese varku no resting ?

lekunte.. recent passouts mana pippi teestharu 

[yemdoing]

8 hours ago, csrcsr said:

First Andrew NG coursera most popular basic one you need have good foundation for linear algebra, stats , probabikity

foundation for linear algebra,stats and prob ok. But where to learn that foundation ?

[csrcsr]

Just now, yemdoing said:

foundation for linear algebra,stats and prob ok. But where to learn that foundation ?

What do you mean anna? ML nedchukovadaniki a math topics meeda grip undali ani chpetuna  yaa a three ropics are good enough

coursera lo Andrew NG ML course ani type cheyandi that's basics

Math nedhcukovadaniki kuda coursera lo courses unayi may be many resources example below

https://www.coursera.org/learn/stanford-statistics

[Pahelwan2]

15 minutes ago, csrcsr said:

What do you mean anna? ML nedchukovadaniki a math topics meeda grip undali ani chpetuna  yaa a three ropics are good enough

coursera lo Andrew NG ML course ani type cheyandi that's basics

Math nedhcukovadaniki kuda coursera lo courses unayi may be many resources example below

https://www.coursera.org/learn/stanford-statistics

Understand the difference between research scientist and data scentist.

research scientist ki mathematics statistics phd chesi adukovali

mana desis max data scientist. 2 algorithms neechukuntaru like classification and linear regression alogoritjms ivi dati vellaleru. 

Nijanga ML AI thope kavali ante malli MS cheyali

 

[csrcsr]

1 minute ago, Pahelwan2 said:

Understand the difference between research scientist and data scentist.

research scientist ki mathematics statistics phd chesi adukovali

mana desis max data scientist. 2 algorithms neechukuntaru like classification and linear regression alogoritjms ivi dati vellaleru. 
 

 

What ever you do even entry level ml enginnernot about scientist you need foundation for math , just intro to ml by Andrew NG you cannot understand anything without math foundation 

[yemdoing]

3 hours ago, csrcsr said:

What do you mean anna? ML nedchukovadaniki a math topics meeda grip undali ani chpetuna  yaa a three ropics are good enough

coursera lo Andrew NG ML course ani type cheyandi that's basics

Math nedhcukovadaniki kuda coursera lo courses unayi may be many resources example below

https://www.coursera.org/learn/stanford-statistics

Yeah I meant math nerchukovadaniki courses links.

above link covers only stats ? other maths like algebra, probability and calculus ki links ivvu anna