Lynda vs Pluralsight

[tennisluvr]

Which one would you recommend more? 

[BulletBaskar]

pluralsight better ani naa feeling

[karna11]

Lynaa videos download  chesukovachuu anukuntaa, but not pluralsight. I never used lynada

[tennisluvr]

Okay Lynda free subscription dorikindi via the local community outreach program. 

So Pluralsight ki pay cheddamaa ani thinking. Mainly to learn Big data/Machine Learning/Data modeling stuff etc. 

[Novak_Djokovic]

Naku telisi....

It depends on what course and reviews for each video....

Plural sight is more popular for micrsoft based stuff...

Lynda is fine...

[tennisluvr]

2 hours ago, Novak_Djokovic said:

Naku telisi....

It depends on what course and reviews for each video....

Plural sight is more popular for micrsoft based stuff...

Lynda is fine...

Good to know, Lynda is awesome. 

Just wanted to find out about Pluralsight as well, thanks. 

[sandie]

6 minutes ago, tennisluvr said:

Good to know, Lynda is awesome. 

Just wanted to find out about Pluralsight as well, thanks. 

Trail Subscription 10days ki theskoni try cheyyochu pluralsight

[gambling_raja]

U can get 3 months free subscription for plurasight, if u register for microsoft visual studio u can get promocode 

 

[tennisluvr]

17 minutes ago, gambling_raja said:

U can get 3 months free subscription for plurasight, if u register for microsoft visual studio u can get promocode 

 

Oh good to know, will do that. 

[Srimantudu]

3 hours ago, Novak_Djokovic said:

Naku telisi....

It depends on what course and reviews for each video....

Plural sight is more popular for micrsoft based stuff...

Lynda is fine...

+1

[Hercules]

7 hours ago, tennisluvr said:

Okay Lynda free subscription dorikindi via the local community outreach program. 

So Pluralsight ki pay cheddamaa ani thinking. Mainly to learn Big data/Machine Learning/Data modeling stuff etc. 

Machine learning data science aithe avanni biscuit follow the below track bro.

1. learn python/R

2. Finish coursera free machine learning MOOC by stanford(self paced but have to submit assignments)

3. take udemy machine learning course by kirill ermenko(The best course, am 75% through now). 10$ used by thousands of people already

4. Take deep learning course (extension of above machine learning course by same teachers) cnns, rnns anns in detail untundi(nen 30% chesa so far)

5.kaggle lo sign up avvu and follow the current problem sets and try to pick up an area of your interest in ML like genetics, image recognition, self-driving cars etc

6. If you finish the above 5 steps, your profile will have 100% realtime prod ready code for display on github and from there on you know how to get to HRs using linkedin.

good luck

[Popkatapetapotapulti]

7 minutes ago, Hercules said:

Machine learning data science aithe avanni biscuit follow the below track bro.

1. learn python/R

2. Finish coursera free machine learning MOOC by stanford(self paced but have to submit assignments)

3. take udemy machine learning course by kirill ermenko(The best course, am 75% through now). 10$ used by thousands of people already

4. Take deep learning course (extension of above machine learning course by same teachers) cnns, rnns anns in detail untundi(nen 30% chesa so far)

5.kaggle lo sign up avvu and follow the current problem sets and try to pick up an area of your interest in ML like genetics, image recognition, self-driving cars etc

6. If you finish the above 5 steps, your profile will have 100% realtime prod ready code for display on github and from there on you know how to get to HRs using linkedin.

good luck

Bustinjieber 

[Hercules]

1 minute ago, Popkatapetapotapulti said:

Bustinjieber 

AitchBass

[tennisluvr]

5 hours ago, Hercules said:

Machine learning data science aithe avanni biscuit follow the below track bro.

1. learn python/R

2. Finish coursera free machine learning MOOC by stanford(self paced but have to submit assignments)

3. take udemy machine learning course by kirill ermenko(The best course, am 75% through now). 10$ used by thousands of people already

4. Take deep learning course (extension of above machine learning course by same teachers) cnns, rnns anns in detail untundi(nen 30% chesa so far)

5.kaggle lo sign up avvu and follow the current problem sets and try to pick up an area of your interest in ML like genetics, image recognition, self-driving cars etc

6. If you finish the above 5 steps, your profile will have 100% realtime prod ready code for display on github and from there on you know how to get to HRs using linkedin.

good luck

Very good post, thanks for the advise bro. 

[Popkatapetapotapulti]

5 hours ago, Hercules said:

AitchBass

that was a good post..so had to throw a search keyword when I get back to machine AuntCss