Introduction to ML

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Introduction to Machine Learning


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Kindly note that the video is not properly visible in many parts. Please upload better quality.

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Hi,

Could you please help me by pointing out the timestamp (any one will do) where the video is not properly visible?

Thanks.

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Is there any way to watch it in future as well(after my subscription ends)? Any download link? (It says unlisted in Youtube)

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Hi,

All the course materials will be available to you for free for a lifetime period. Only the lab will expire, however, you can subscribe to the lab with a minimal subscription fee.

Thanks.

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In case of future upgrades of Python/AI/ML tech concepts that is currently covered in this course, will the revised course also be accesible for lifetime?

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I do not think the upgrades or courses with different names would be further included to it. If revision is done to same course there are chances of inclusion to it.

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Hi Rahul,

We keep on improving the course experience by adding new topics and projects. If any new content is relevant to any course, we just make it available there.

Hope this helps.

Thanks

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Hi

Can we use the Data for ML directly from SQL database or we need to import data into file?

Thanks

Krishna

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Hi,

You can access data in any form as long as you have a connector using which you can connect to that data using Python. Here's a link which shows how you can connect Python to MySQL:

https://dev.mysql.com/doc/connector-python/en/connector-python-example-connecting.html

Thanks.

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Hi 

Can ML and AI be used in the Financial and Payments domain to automate the processes involved in the Payments.Are there any libraries required specially for using ML in Payments domain.

Thanks

Krishna

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Hi,

The applications of ML/DL are endless, however, there is a difference between pure automation and Machine Learning/Deep Learning.

Thanks.

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Hi,

Another question, let's say we train a model using suprevised learning, ie with labled data and known output. After that we would have to check the accuracy/performance of the model by giving the supervised model new unknown data and measure the similarity. Would the latter be an example of reinforced learning? 

Thanks.

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Hi,

No, reinforcement learning learns and improves from the same data.

Thanks.

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Hi,

Slide 85, in Batch learning, it is mentioned as offline learning and then in Online learning, it is mentioned that system is fed data in batches.

In offline learning all data has to be used for training, then why batch learning is used as heading in slide. I was bit confused in that section. 

Thanks.

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Hi,

The type of learning is divided into 3 parts, Batch Learning (which is a form of offline learning), online learning, and instance and model based learning.

Thanks.

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In online learning it was mentioned that the data is fed in batches(slide 90), so this data fed in batches in online learning is diffrent from BATCH LEARNING/OFFLINE LEARNING, right? 

 Thanks.

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Hi,

That's correct.

Thanks.

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Where is the project to extract email contents from inbox for a particular mail domain? I didn't find such project. So far, I found the only project that reads the email contents from a text file. 

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Hi,

We do not have any project where we would extract information from inbox. We have the Python Churn project though, which you mentioned in your comment.

Thanks.

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it will be really helpful if we split this video into subparts instead of long 3 hrs ; and have some quizzes and small assignments ;at one go completely having the whole video and grab everything is difficult.

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Hi,

I understand, and would like to thank you for your feedback. We would definitely keep this in consideration when we are updating our course materials. As of now, I would suggest you to go through the video an hour at a time, and take notes based on that. You can also create flashcards, these had helped me personally.

Thanks.

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Is it compulsory to study Data Science with Machine learning and Deep learning
Or it is ok to learn only Machine learning and Deep learning with python for job perspective

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Hi,

Very good question!

When you work on real life projects in a production environment, you would see that the data does not reside on a single .csv file. Rather data is maintained and accessed via a Big Data architechture. So, it is definitely an added advantage to add Big Data (which is a part of our Data Science Specialization course, apart from Machine Learning and Deep Learning) to your resume. This portrays that you can capable of creating models in a real life production environment.

Thanks.

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If two person is sharing same internet using two Alexa is there a way that he is going interchange the the output search if it is how or not

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Hi,

Could you please help me understand how is this relevant to Machine Learning?

Thanks.

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Sir, if there is historical data then only it will give accurate output or there are other ways also? 

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Hi,

That's right! So we train and test our model on existing data, and then we try it on new data.

Thanks.

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Thank you sir.

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One of the biggest challenge in ML in certain use cases is having large data. what if there is small data ? Are there machine learning algos used for such cases ? Should we go for unsupervised learning in such cases. 

 

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Hi,

ML can be used on both large and small datasets. Also, unsupervised learning is not related to the size of the dataset but the outcome we require.

Thanks.

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so for 2 years there has been no update in the course god knows how many updates have come so far

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Hi Rahul,

We always keep our course updated. Let me give you an example, very recently the Imputer method gave way to the SimpleImputer method. You will find it updated in our slides and our notebooks in our GitHub respository. However, if you have come across something that we have not updated yet, please let me know and I would be happy to look into it,

Thanks.

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Full wastage of time by this lecture

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Hi,

Thank you for your feedback, could you please tell me what we could have done better?

Thanks.

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Please update the sides with latest info and pls prepare new video without any intervention from others.

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Hi,

Please note that all our slides, videos, GitHub codes are maintained on a regular basis. Let us know if you are referring to something specific.
Thanks.

-- Rajtilak Bhattacharjee

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I am referring to the recording video, lot of disturbance or intervention as it was live session. So please upload new one without any audience. It should be Like IIT standard

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agree.... @jayaprakashreddyg:disqus

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Noted. We are working to cleanup videos.

-- Praveen Pavithran

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Noted. We are working on this.

-- Praveen Pavithran

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need more clarity reinforcement

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Hi,

You can learn more about reinforcement learning from the below link:

https://www.geeksforgeeks.o...

Thanks.

-- Rajtilak Bhattacharjee

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while going through the course , i found that some session are missing .
As in Topic 5 introduction to Ml we have one session which was published on 13th may 2018, and when i moved to Topic 6 end to end project ,
the topic starts with session 7 .which was held on june 3rd 2018.
May i know where are the remaining sessions , why those are not included ?

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Hi Shubham,

I have already replied to your query on the discussion forum. The session are not missing, and even though there is a gap, the continuity has been maintained. So when you move from topic 5 to topic 6, you would not feel any difference, neither will you miss out on any topic.

Happy learning!

Thanks.

-- Rajtilak Bhattacharjee

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since 2018 there is no update done to presentation and video. Are these still relevant?

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Please provide some good resources for ml

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Please share presentation

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Hi Satish,

Please click on top right corner icon (pop out) of slide, there you can download the presentation.

Thanks

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Hi,

I had completed this python basic course on July 21 ~1 a.m IST. After completing the course I checked my profile and I could see `Python basic` tag cloud in the topics completed list. But now, I see you've added new topics to the Python basic course and I've lost my badge?

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Hi Suresh,
To have the "Python Basics" topic under your topics completed, you simply need to complete the remaining portion of the topic. As soon as you reach a completion of 100, it will reappear under your topics completed

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