I dont mean to be so offtopic but does someone know of a way to get back into an Instagram account?? I stupidly forgot the account password. I love any tricks you can offer me!
Hey Krish, thanks for the video man. I was thinking on the issue of model degrading and I have a different point of view. I would not say that the model degrades but rather that the characteristics of the data used to train the model and the characteristic if the data the trained model receives as input later are more and more dispar even though the model still the same. Maybe it is just the way to say it but to me is not that the model degrades but more that data changes. That's why data monitoring is so important if we monitor basic statistics on our training data and continuously compare it to the data coming as input into our model the higher the differences between these statistics the higher the chance the model will work less properly. These can be used for build automated retraining triggers for example.
QA dev deployement test comes in azure pipelines sections lastly you need to run yaml pipeline script using windows powershell and run azure pipeline agent and self hosted agent as well
Exactly sir in azure devops in azure boards we have 3 options agile basic and scrum if we choose agile we will divide it into 6 sprints and in sprints a team leader will assign some xyz tasks tasks is divided into bug product epic and feature sir
Thanks for the detailed explanation sir. your videos are really helpful for career guidance. Since B.Tech Data Science is a new programme, many of the students are confused about what to learn . it would be great if you could make a a video on the career guidelines for B.Tech Data Science
"Software doesn't degrade, it only improves" I get what you're trying to say, but as someone who does QA occasionally, I have to say that's a bold statement. ;)
I think Krish you missed metrics check, that is from where the retraining comes from. If the model ain’t well which we know from the KPIs, we then retrain. I thought of just mentioning this. Always a treat to watch your things. Learnt everything from you.
in devops is more about automation automation in simple words I can say like in case of devops we used configuration management tool such as ansible chef and puppet pulumi most of the companies use ansible ansible is used in devops or sdlc inorder to reduce manual tasks and reduce tasks which are repeatitive and time consuming
yes sir in azure devops we have sprint section where each team member is assigned with specific task it may be divided into 6 or 3 sprints and where you will be assigned some task like if you have problems in login page and task type is bug in description you need to specify what is the issue epic and feature are remaning features in azure devops adminstrator is restricted because manager only has access he will be knowing what task has been assigned to each team member and what is the actual deadline in case of aws devops I'm not sure what is the procedure
Thanks for such an informative video. I would like to know where does QA comes into play in MLOps? Testing a software vs testing an ML project is very different. Would anyone comment on this?
dear sir excellent vedio , sir sometime hr or emplyer description focuses on 3 things 1 sql in depth internediate level 2 power bi tool as this is best currently. 3 pyspark . 4 ds algo atleast ds level . are we having playlist on above sir , i mean we can go with your flow only but in case hr or some cpmpany requirement forces us we should return to your portal and study same , why to go other places , for all things if its dataengineering scala or pyspark or even data science we should come to you.
Hi @krishna awesome videos, could u recommend how I can get capstone project experience without breaking the bank , I am 25 years experienced IC with last 4 years in infrastructure and Devops? Thanks
Thanks for these differences, very informative 👌🏻👌🏻👌🏻 How and where can one start learning if interested to move towards MLops? Could you please let me know? Thanks
boss, if ur handwriting is not good. please 🙏 type it and not write it. we are here to get some info. it shd imprint in mind. so i feel you shd put out in text next time. so in the end it looks good, stick to mind, also we can take screenshot.
Hi Krish, i am very interested in iNeuron course but couldn't find the total time it will take to complete this course. So What is the total duration for this course??
@@krishnaik06 Is it because classes occur only on weekends or can i take a fast approach by watching more pre recorded videos throughout the week and do projects simultaneously as i have some prior exp in DL
@@krishnaik06 Hi Krish, I would like to discuss with you on career options for senior folks. May I have your contact number so that I can fix an appointment for discussion
Hi krish, if someone is practicing devops and want to get into MLops, what should be their approach to achieve this? Also this cicd implementation is also being handled by developers itself in many cases and is being part of job requirement as well. So, getting into these specific roles will be helpful to have good career growth?
CD means Continuous deployment but not development...
What is CI
Continuous integration
Thanks for detailed explanation. Now a days two popular terms are AIOps and Cloudops. Can explain AIOps and Cloudops as well.
I dont mean to be so offtopic but does someone know of a way to get back into an Instagram account??
I stupidly forgot the account password. I love any tricks you can offer me!
Krish you made big mistake,that is Continuous deployment . You are saying continuous development
Hey Krish, thanks for the video man. I was thinking on the issue of model degrading and I have a different point of view. I would not say that the model degrades but rather that the characteristics of the data used to train the model and the characteristic if the data the trained model receives as input later are more and more dispar even though the model still the same. Maybe it is just the way to say it but to me is not that the model degrades but more that data changes. That's why data monitoring is so important if we monitor basic statistics on our training data and continuously compare it to the data coming as input into our model the higher the differences between these statistics the higher the chance the model will work less properly. These can be used for build automated retraining triggers for example.
It is all based on relativity of test data used 🙂
Hello sir
Just enrolled in ml and dl master course of ineuron and super excited 💯🙌
How much cost it is?
Hi Krish...enrolled in your ML & DL learning course starting 10th Apr ...just awaiting to get all started ...
QA dev deployement test comes in azure pipelines sections lastly you need to run yaml pipeline script using windows powershell and run azure pipeline agent and self hosted agent as well
Exactly sir in azure devops in azure boards we have 3 options agile basic and scrum if we choose agile we will divide it into 6 sprints and in sprints a team leader will assign some xyz tasks tasks is divided into bug product epic and feature sir
Thanks for the detailed explanation sir. your videos are really helpful for career guidance. Since B.Tech Data Science is a new programme, many of the students are confused about what to learn . it would be great if you could make a a video on the career guidelines for B.Tech Data Science
"Software doesn't degrade, it only improves" I get what you're trying to say, but as someone who does QA occasionally, I have to say that's a bold statement. ;)
I think Krish you missed metrics check, that is from where the retraining comes from. If the model ain’t well which we know from the KPIs, we then retrain. I thought of just mentioning this. Always a treat to watch your things. Learnt everything from you.
Thank you for your consistency sir. I have learned so much from you. Keep up the good work sir👍
Yeah
in devops is more about automation automation in simple words I can say like in case of devops we used configuration management tool such as ansible chef and puppet pulumi most of the companies use ansible ansible is used in devops or sdlc inorder to reduce manual tasks and reduce tasks which are repeatitive and time consuming
Thank you so much! I finally understood MLOps from your video, very helpful 👍🏻
Nice video. I think there should be one more step before EDA i.e. Data Collection from various sources. Please advise.
in azure pipelines there are two types of ci/cd one is yaml pipeline and another option is class pipeline
A lucid yet effective explanation, Thanks Krish
finished watching
cleared a lot. I hope you'd make a video on CircleCI
yes sir in azure devops we have sprint section where each team member is assigned with specific task it may be divided into 6 or 3 sprints and where you will be assigned some task like if you have problems in login page and task type is bug in description you need to specify what is the issue epic and feature are remaning features in azure devops adminstrator is restricted because manager only has access he will be knowing what task has been assigned to each team member and what is the actual deadline in case of aws devops I'm not sure what is the procedure
Hi, how to switch from devops to mlops??
Krish are you using WACOM tablet to write on the screen. Just wanted to know. If not what is it.
Thanks for such an informative video. I would like to know where does QA comes into play in MLOps? Testing a software vs testing an ML project is very different. Would anyone comment on this?
Inference part is done by DS and QA will check perform testing in live app which have coreML/tflite model
Thanks for the video sir. If I learn devops first, can I cover half of the mlops part or is that completely a different approach?
Man, You're Great. You helped a lot in understanding. Thank You :)
Nice bhai.. You are always ahead in this field. This is one of the career path I'm eyeing at.
Hi, one question from me on best practice is that are we going to have 1 ML pipeline for 1 ML model?
dear sir excellent vedio , sir sometime hr or emplyer description focuses on 3 things 1 sql in depth internediate level 2 power bi tool as this is best currently. 3 pyspark . 4 ds algo atleast ds level . are we having playlist on above sir , i mean we can go with your flow only but in case hr or some cpmpany requirement forces us we should return to your portal and study same , why to go other places , for all things if its dataengineering scala or pyspark or even data science we should come to you.
thanq krish...bro i like your concept explanation .
Hi @krishna awesome videos, could u recommend how I can get capstone project experience without breaking the bank , I am 25 years experienced IC with last 4 years in infrastructure and Devops?
Thanks
Sir we appreciate your effort, But your image itself covering maximum arear of our display, kindly reduce size of your video on top of this sir
i had learn new things Krish.
very detailed explanation
thank you sir krish
Could you please explain this with any live example?
Good discussion but need sample or example pipeline of ml
Sir , DevOps OR Ai & ML , which course is more promising in upcoming future? do answer this please
Pls let me know how these pipe lines are created need to be detailed on but at high level .
Thank you sir
Great explanation. Thank you.
Thanks for these differences, very informative 👌🏻👌🏻👌🏻 How and where can one start learning if interested to move towards MLops? Could you please let me know? Thanks
Krish has already setup MLOps playlist. You can go through them to learn. They are very informative.
Sir when Devops course will launch?
Sir is the ci+cd + retraining in mlops is also called data flywheel?
11:52
boss, if ur handwriting is not good. please 🙏 type it and not write it. we are here to get some info. it shd imprint in mind. so i feel you shd put out in text next time. so in the end it looks good, stick to mind, also we can take screenshot.
Hi Krish, i am very interested in iNeuron course but couldn't find the total time it will take to complete this course. So What is the total duration for this course??
This course takes 5-6 months
@@krishnaik06 Is it because classes occur only on weekends or can i take a fast approach by watching more pre recorded videos throughout the week and do projects simultaneously as i have some prior exp in DL
@@krishnaik06 Hi Krish, I would like to discuss with you on career options for senior folks. May I have your contact number so that I can fix an appointment for discussion
Hello Sir, just to correct you CICD means continuous integration continuous deployment. You said continuous development.
I joined as a ML Ops engineer. Could you help me with any resources where we can read about it
What are prerequisite skills for MLOps?
I am new to the domain, Pls suggest course to start learning ML ops.
Good One
Diff. Between ML engineer and MLops
Thanks 🙏🏻
I just love this guy. Sir Krish just a quick question, does Model Governance also a part of MLOps?
Yes
Nice Video
Thx for sharing
I'm currently working in devops, I want to switch In machinelearning jobs. In machinelearning is there any use of devops?
Do we need coding skill to work on MLOps?
who does this MLOps work.. ML Engineer or a Data Scientist
Both work for deployment!
Hi krish, if someone is practicing devops and want to get into MLops, what should be their approach to achieve this? Also this cicd implementation is also being handled by developers itself in many cases and is being part of job requirement as well. So, getting into these specific roles will be helpful to have good career growth?
What are the skill set required for one to become AIOps Engineer or MLOps Engineer?
Hi krish can you suggest best mlops course on coursera please... I have good experience with ml dl and ds but I want a certification on mlops
Yes go ahead with ineuron techneuron platform
Not understand pls explain it again