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Madhav Thaker
United States
Приєднався 6 лют 2010
My goal is to build an educational platform for aspiring data scientists.
Posts will include:
- Code walkthroughs
- Interview Prep
- Q&A Recordings
Posts will include:
- Code walkthroughs
- Interview Prep
- Q&A Recordings
Data Science Q&A with Madhav and AMAZON Applied Scientist, Krishna Rao!
Enjoy a complete recording of my Q&A with Amazon Applied Scientist, Krishna Rao!! Krishna is responsible for building state-of-the-art advertising recommendation systems for Amazon! Krishna has had a slightly unconventional path to get to this point. His background is in Civil Engineering and he was first a Data Science consultant before joining Amazon. In this Q&A, he shares the tips and tricks he used to land one of the most coveted roles in FAANG!
Don't forget to SUBSCRIBE for more useful DS content!
Here is my blog:
www.madhavthaker.com/
My LinkedIn:
www.linkedin.com/in/madhavthaker/
Join Our LinkedIn Group with other aspiring Data Scientists!
www.linkedin.com/groups/13913186/
Timestamps:
00:00:00 - Introduction
00:09:08 - Start of Presentation
00:39:03 - As a civil engineering undergrad student, how can machine learning be integrated with my studies?
00:41:26 - What are the best ways data science managers can enable their team to be successful? How intimately should the managers be aware of the technical nature of the data science problems they're working on?
00:43:48 - Do you have any good courses to learn Tensorflow?
00:44:44 - What types of personal projects should I concentrate on and how complex or in-depth should they be for someone seeking entry-level work?
00:47:24 - What's the value of a master's in Data Science? Can you comment on the value of doing a program like this versus starting entry-level data science job without it?
00:49:10 - How do we target companies who look for people who are just getting into data science?
00:50:31 - I know R, SQL, and Python at an intermediate level. Should I focus on just getting better with those or add new languages?
00:52:39 - s it feasible to do some form of ML research or new development without a Ph.D.
00:53:55 - I’ve been a Machine Learning Engineer for about five years now, and recently I've been thinking about getting my masters in computer science or data science part-time. Do you think this would be advantageous?
00:56:32 - How flexible is it for a data science professional to switch to Ai research machine learning, etc, and vice versa.
00:57:37 - When you're building your portfolio, do your projects have to be from various domains, or would you focus on one particular domain?
00:59:28 - When transitioning from engineering to data science what are some things that should be considered when looking for your first job in data science.
01:01:09 - What were the steepest parts of your learning curve when you started working on data science and industry.
01:03:11 - Do you recommend becoming a backend engineer first before transitioning into an MLE role?
01:04:50 - I’ve been considering pursuing the Harvard extension school MS, Please share thoughts or advice that you have regarding your experience with a degree.
01:05:53 - What is your every day on the job like as Amazon applied scientists.
01:07:53 - Any advice or anecdotes for those without Ph.D. degrees trying to break in to research?
01:09:48 - How important is learning scala at this stage is something I shouldn't do later or focus on something else.
01:11:15 - What is a good domain for me to utilize my psychology and business background through data science.
01:12:59 - How did you get through the interview around the Amazon um how did you prepare for the coating rounds.
01:15:15 - Any tips for self-taught programmers data scientists to break into the field, I think you touched on that, but I think we go one more, but this question is interesting any tips for finding a mentor for those who aren't working in the tech field.
01:17:45 - Where do you see the future of recommendation systems?
01:22:37 - What coding platform is best for the Machine Learning industry.
01:23:27 - What are you excited to learn about in the future.
01:25:22 - As a Ph.D. candidate, I was fortunate enough to work on a number of data science-related projects that culminated in a publication of either a book. However, I'm not certain how these fit in my resume our publications worth including in the resume, even if it sends my resume from one page or two pages.
01:26:14 - How can you improve your storytelling skills just by practicing do you guys use any other tools.
01:28:38 - If you're already a data scientist, but not in a top tier or hot company, how do you stand out amongst candidates.
01:30:06 - Do you ever have imposter syndrome? If yes, when did you get over that hump?
01:34:60 - I work, mostly on text, processing, and natural language understanding I'm just getting better at an area or should I generalize
Don't forget to SUBSCRIBE for more useful DS content!
Here is my blog:
www.madhavthaker.com/
My LinkedIn:
www.linkedin.com/in/madhavthaker/
Join Our LinkedIn Group with other aspiring Data Scientists!
www.linkedin.com/groups/13913186/
Timestamps:
00:00:00 - Introduction
00:09:08 - Start of Presentation
00:39:03 - As a civil engineering undergrad student, how can machine learning be integrated with my studies?
00:41:26 - What are the best ways data science managers can enable their team to be successful? How intimately should the managers be aware of the technical nature of the data science problems they're working on?
00:43:48 - Do you have any good courses to learn Tensorflow?
00:44:44 - What types of personal projects should I concentrate on and how complex or in-depth should they be for someone seeking entry-level work?
00:47:24 - What's the value of a master's in Data Science? Can you comment on the value of doing a program like this versus starting entry-level data science job without it?
00:49:10 - How do we target companies who look for people who are just getting into data science?
00:50:31 - I know R, SQL, and Python at an intermediate level. Should I focus on just getting better with those or add new languages?
00:52:39 - s it feasible to do some form of ML research or new development without a Ph.D.
00:53:55 - I’ve been a Machine Learning Engineer for about five years now, and recently I've been thinking about getting my masters in computer science or data science part-time. Do you think this would be advantageous?
00:56:32 - How flexible is it for a data science professional to switch to Ai research machine learning, etc, and vice versa.
00:57:37 - When you're building your portfolio, do your projects have to be from various domains, or would you focus on one particular domain?
00:59:28 - When transitioning from engineering to data science what are some things that should be considered when looking for your first job in data science.
01:01:09 - What were the steepest parts of your learning curve when you started working on data science and industry.
01:03:11 - Do you recommend becoming a backend engineer first before transitioning into an MLE role?
01:04:50 - I’ve been considering pursuing the Harvard extension school MS, Please share thoughts or advice that you have regarding your experience with a degree.
01:05:53 - What is your every day on the job like as Amazon applied scientists.
01:07:53 - Any advice or anecdotes for those without Ph.D. degrees trying to break in to research?
01:09:48 - How important is learning scala at this stage is something I shouldn't do later or focus on something else.
01:11:15 - What is a good domain for me to utilize my psychology and business background through data science.
01:12:59 - How did you get through the interview around the Amazon um how did you prepare for the coating rounds.
01:15:15 - Any tips for self-taught programmers data scientists to break into the field, I think you touched on that, but I think we go one more, but this question is interesting any tips for finding a mentor for those who aren't working in the tech field.
01:17:45 - Where do you see the future of recommendation systems?
01:22:37 - What coding platform is best for the Machine Learning industry.
01:23:27 - What are you excited to learn about in the future.
01:25:22 - As a Ph.D. candidate, I was fortunate enough to work on a number of data science-related projects that culminated in a publication of either a book. However, I'm not certain how these fit in my resume our publications worth including in the resume, even if it sends my resume from one page or two pages.
01:26:14 - How can you improve your storytelling skills just by practicing do you guys use any other tools.
01:28:38 - If you're already a data scientist, but not in a top tier or hot company, how do you stand out amongst candidates.
01:30:06 - Do you ever have imposter syndrome? If yes, when did you get over that hump?
01:34:60 - I work, mostly on text, processing, and natural language understanding I'm just getting better at an area or should I generalize
Переглядів: 455
Відео
Data Science Resume Review #3 (UK Grad Student)
Переглядів 1 тис.3 роки тому
Welcome to my very first resume critique! I'm excited to share my process with you all and I hope my tips help you land your dream job! If you're interested in having me review YOUR resume or LinkedIn, register here: forms.gle/WcTj75Em9rpVSb9Q6 Here is my blog: www.madhavthaker.com/ Connect with me on LinkedIn: www.linkedin.com/in/madhavthaker/ Join Our LinkedIn Group with other aspiring Data S...
Leverage Tensorflow Hub for YOUR Next Data Science Project!
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Tensorflow Hub is a fantastic tool that allows you to gain access to state of the art machine learning models! It is something I’ve used regularly for my personal projects and I’ve even leveraged their sentence embeddings in my production pipelines. In this video, I walk you through how I leverage Tensorflow Hub and how you can start leveraging it for your next project! Link to Tensorflow Hub: ...
Data Science Resume Review #2 (Grad Student)
Переглядів 1,1 тис.3 роки тому
Welcome to my very first resume critique! I'm excited to share my process with you all and I hope my tips help you land your dream job! If you're interested in having me review YOUR resume or LinkedIn, register here: forms.gle/WcTj75Em9rpVSb9Q6 Here is my blog: www.madhavthaker.com/ Connect with me on LinkedIn: www.linkedin.com/in/madhavthaker/ Join Our LinkedIn Group with other aspiring Data S...
Data Science Coaching Session - Ben Xiao (Grad Student)
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Please enjoy a complete recording of my 1:1 session with Ben Xiao! Definitely connect with him on LinkedIn to follow his data journey! Don't forget to like and subscribe! Fill out this form if you want me to review your LinkedIn! forms.gle/fb5Rd4qaoxrpa4hg7 Ben's LinkedIn: www.linkedin.com/in/benjaminyxiao/ Timestamps 00:00 - Introduction 01:52 - Backgrounds 05:32 - Start of Resume Review 06:42...
TOP 5 Coursera Certificates for ASPIRING Data Scientists
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For me, Coursera should be the go-to resource for aspiring data scientists. For the price, you get a wealth of knowledge that you really can’t get anywhere else. In this video, I break down my top 5 favorite Coursera Certificates/Specialization for any aspiring data scientist. Coursera Links: 1. www.coursera.org/learn/machine-learning 2. www.coursera.org/specializations/machine-learning 3. www....
How To Pick Your Next Data Science Project! (Using Kaggle)
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I know it can be difficult to find your next big project for your portfolio. There are so many options and its hard to know what's a good fit for you. In this video, I walk you through the process I take to find and showcase projects for my portfolio. I even show you examples of how to can put this to use on Kaggle! Here is my blog: www.madhavthaker.com/ My LinkedIn: www.linkedin.com/in/madhavt...
Data Science Q&A with Madhav and Principal Data Scientist, Susan Chang!
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Enjoy a complete recording of my Q&A with Principal Data Scientist, Susan Chang!! Susan is a committee member of Aggregate Intellect, a machine learning platform with 13k UA-cam subscribers. You can find Susan speaking at conferences such as PyCon Canada, and events like this one! Here is my blog: www.madhavthaker.com/ My LinkedIn: www.linkedin.com/in/madhavthaker/ Join Our LinkedIn Group with ...
Data Science Resume Review #1 (Entry Level)
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Welcome to my very first resume critique! I'm excited to share my process with you all and I hope my tips help you land your dream job! If you're interested in having me review YOUR resume or LinkedIn, register here: forms.gle/WcTj75Em9rpVSb9Q6 Here is my blog: www.madhavthaker.com/ Connect with me on LinkedIn: www.linkedin.com/in/madhavthaker/ Join Our LinkedIn Group with other aspiring Data S...
I Used GPT-2 To Create NEW Netflix Movies (BEGINNER TUTORIAL)
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In this video, I walk you through how I leverage GPT-2 to generate brand new Netflix content. This video is meant for ALL experience levels! Make sure you look at the timestamps below to find out which section interests you! Don't forget to like and subscribe! Google Collab: colab.research.google.com/drive/11XpR6BG2ucAsFbuv5ojswFyvrxeIMyLp?usp=sharing Useful Resources: - Computerphile Language ...
How To Effectively Present Your Data Science Projects | Data Storytelling
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Being able to effectively present your Data Science projects is an essential skill you need to be a successful data scientist and yet it is rarely taught. In this video, I walk you through my simple 4 Step framework that I consistently use at work: Step 1: Explaining the Problem Statement Step 2: Highlighting Your Solution's Performance Step 3: Overview of the Modeling Approach Step 4: Next Ste...
Data Science Q&A with Madhav and Disney Data Scientist, Daphne Cheung!
Переглядів 4 тис.3 роки тому
Enjoy a complete recording of my Q&A with Disney Data Scientist, Daphne Cheung! Daphne will provide a fresh perspective from someone who recently entered the Data Science industry. On top of the Q&A, Daphne shares how she became a Data Scientist at Disney with a non-technical degree and how she's using her background to master the art of "Data Storytelling". Here is my blog: www.madhavthaker.co...
Building A Spotify Recommendation Engine With Python (TUTORIAL)
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In this video, I walk you through how I built a Spotify Recommendation System from scratch in Python. This video is meant for ALL experience levels! I know this video is long so take a look at the timestamps below to find out which section interests you! Github Repo: github.com/madhavthaker/spotify-recommendation-system Here is my blog: www.madhavthaker.com/ My LinkedIn: www.linkedin.com/in/mad...
Data Science Interview Prep | How To Walk Through Your Projects
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Every Data Science interview is entirely different but there is always one common theme throughout; walking through a specific project(s) on your resume. This is often overlooked when prepping for an interview but is a great way to not only build momentum at the start of an interview and also showcase your strong communication skills! Here is the blog post that goes along with this video: www.m...
Data Science Q&A with Madhav and Verizon Data Scientist, Keith Dowd!
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Enjoy a complete recording of Madhav's Data Science Q&A! This time around we have a special guest, Keith Dowd! Keith is a Lead Data Scientist at Verizon and has a wealth of knowledge of how to break into this space. We did run into slight technical issues and the a portion of his presentation was cut off. For more educational content, visit www.madhavthaker.com/ Connect with me on LinkedIn: www...
[Q&A] Data Science Education Questions
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[Q&A] Data Science Education Questions
00:02 Building a Spotify recommendation engine from scratch in Python. 01:50 Using a content-based recommendation system to generate recommendations based on summarizing a playlist in Spotify. 05:39 Creating one hot encoded features of the year and a bucketed version of popularity 07:36 Using tf-idf to create features based on song genres. 11:58 The video demonstrates how to build a Spotify recommendation engine using Python. 13:49 The Spotify API provides a Python library with amazing features to easily access and extract live data from Spotify. 17:49 Using recency bias to prioritize songs added more recently in the playlist. 19:38 Generating recommendations based on cosine similarity using a playlist vector and feature set vector. 23:40 Similar recommendations between Spotify and the built recommendation engine 25:14 Closing remarks and feedback request
This was very helpful... Thank you for making this video
We can also personalise the dataset right? or will it be difficult?
I wannc write a dissertation about this music recommendations topic. What do you think are the current gaps in this field ?
INVALID_CLIENT: Invalid client
Guys the dataset has been removed so don't go with it.
Does anyone know what template is used for this CV? Thanks
what machine learning algoritnm are you using here
thank you for making this video its awesome
sir can we use it in django also
sir its an excellent video but i have a query, at time 16:04 what is spotify_df we need to give
Sir can we save this as an model and load it in django
Can you please provide me the dataset, the kaggle link is showing error 404
i just farted
Can someone help me to find the dataset? I used this link: Kaggle Data: www.kaggle.com/yamaerenay/spotify-dataset-19212020-160k-tracks. But it shows 404 error.
having the same issues, please if you find a solution tag me
i can't find the dataset could you please give us the link
How much u charge for making a video recommendation system for Android app?
Awesome resume. Will be crafting mine like this.
WOW! Absolutely incredible man, I'm doing my final year project and I'm trying to do some playlist organisation stuff with algorithmic components. This is absolutely what I was looking for, a perfect place to start. I'll be reading deeper into neural networks and such from this video as I want to go for a more complex approach, but I love the stuff man! keep up the awesome work, and thanks for making it so accessible!!
Anyone can please share the dataset link.
@gabcode where?
unfortunately, the dataset is not available anymore in kaggle
The github link isnt working. I cant seem to open the main code file
Is there a way to make my own recommendations using my own spotify account data?
How does one deploy the model in a cloud platform and then consume in front end app like react. That will be great tutorial. Thanks
Thanks a lot for this tutorial. I learned a lot from this.😁 I made a few changes and implemented in a flask app. Would really mean a lot if I could have your opinion on it. 😃😃 My github username is auddy99 and repo name of this project is recoTrax
Are you still reviewing resumes through the google form?
Hi Vanessa! I am. I’ve had to take a bit of a hiatus due to personal issues. I’m hoping to get back into it over the next week or so
Coming to the comments late, but I’d love the exploration of impostor syndrome, as I suffer quite a bit from it. Thank you!
I'm definitely going to share a video about it soon! I won't pretend like I have a perfect solution because I still struggle with it from time to time but I'll definitely share my journey and the steps I've taken.
This was very helpful for someone starting out in the industry! I recently edited and curated my own resume based on the suggestions in your Resume review videos. Love the insightful videos and looking forward to more content!!
Awesome! That's great to hear Spardha!
Thank you both Daphne and Madhav for conducting and sharing this session! As a budding analyst looking to get into data science, I found this discussion extremely insightful.
I’m glad you enjoyed it!
If someone is having the issue of id_name not showing up, they need to create the playlist in spotify and click on "three dots" and click "Make public"
is there any chance that you could email me the song dataset as the one currently on kaggle is updated .............i have to submit my college project .... any help would be greatly appreciated
Thanks for the video Madhav!! I would love to see what how you can leverage these models on random Kaggle competitions and datasets.
That's a great idea! I'll have to scan some of the existing Comps to see what's a good fit.
Hey Madhav, thanks for doing these reviews. These are very helpful. I have a small doubt that - Are Latex resumes ATS scannable? Because it is a bit difficult to format it in word (atleast for me)!
I ran into an error while connecting to Spotify api where it says invalid client after I login what do you think is the issue here
I am facing the same error, Have you found what the problem was? If yes, then pls reply
I solved it by going to dashboard page > Edit Profile and putting the localhost link in the request uri field
Hey Madhav! Can't turn on notifications for your channel since it's marked as "content made for kids" :(
Updated! Let me know if it's still not working
@@MadhavThaker Just checked it. Still not working :(
I only listened to the audio, first, and for over five minutes I was totally perplexed how you could refer to Andrew Ng's course as a starting point 😨. Though, I simply confused his ML course with the Deep Learning Specialisation (which is indeed phenomenal). He is updating the course now and use TensorFlow 2.x, I think. Thanks for your videos. I really enjoy them and hope your channel keeps on growing.
I have been running into this error when I try to run the playlist vector: "MemoryError: Unable to allocate 16.4 GiB for an array with shape (13905, 158284) and data type float64" ... curious on if you encountered this/best way to proceed. I appreciate any help!
I was also facing same problem when we transfer it into complete_feature_set but when I run next day it simply run without any error... Sometime kernel creates problem in my case. You can also try by restarting.
As Akshay mentioned, this is typically and issue with your computers memory. What I like to do is restart my kernel and remove any heavy processes while I'm running that code. I hope that helps!
@@akshaysharma6249 is there any chance that you could email me the song dataset earlier uploaded............ as the one currently on kaggle is updated .............i have to submit my college project .... any help would be greatly appreciated
is there any chance that you could email me the song dataset ............ as the one currently on kaggle is updated .............i have to submit my college project .... any help would be greatly appreciated
I also need this dataset. can you provide any other link or send me datasets.
love this my man... my goal is to create a recommender system for my final project and your tutorial has been super clear and helpful in getting me started.
This is great to hear! Definitely share hour final project when it’s finished
@@MadhavThaker please can you help me with the data, i need it for a project
This is immensely helpful! Thanks a lot, Madhav.
Wonderful! Also, I just subscribed and I'm the 1000th subscriber!
Thanks for your support!
I am doing a recommender system for a market but I don't know which variables I should take.
Damn! This Resume looks great! Kudos to this guy. Hope you get the job you wish for.
very helpful, thank you for sharing!
My pleasure!
I'm calling it, this channel's gonna blow up some day
Ah, that means a lot. I’m glad you’re enjoying this content. Let me know if you want more resume critiques!
Very cool. A lot of helpful tips. I would also say contributing to Open Source projects is always a great way to learn and to show your skills.
Great point! I completely agree
Great material Madhav. Thank you! I'm near at the middle of my Data Science M.D. and I will have to specialize in a sector/field (Medical, finance, etc.). I would like to have a list of all (or at least the more relevant) fields where DS brings value, so I can make the best decission. Do you have any advice or source I can get to fulfill this need?
What field did you choose and how it has been till now ? please share so that we can get some idea about whwat field to choose : ). Thanks
Quite an useful kick-start! It was a good flow to follow and understand. Thank you.
Great to hear!
How were you able to get the access token using the util.prompt_for_user function? I don't really understand the redirect_uri portion and how to get the access token so I can continue.
I was stuck at that part as well. You need to go to "Edit Settings" of the app on your dashboard and set redirect URI there as well. It should be the same as in util.prompt_for_user function. I used 'google.com/' in both places because the localhost address was not working for me.
@@ayushranjan14 Thanks for the help! Once you ran the chunk of code with google did it redirect you to google.com? Currently not redirecting me anywhere and I'm getting prompted to enter the URL I was redirected to. I enter 'www.google.com/' for it both times but still comes out to an error.
@@kevinadventures3965 That happened to me as well. I was using google collab to run the notebook at that time. It started working for me when I switched to the local jupyter environment.
Thanks @Ayush for your responses! You're completely right, this should be run locally which I should have specified. @Kevin, let me know if you are still running into issues.
@@MadhavThaker I'm working with google collabs too and I have this error when connecting to the api it says bad request uri, and it asks me twice for the redirected uri
Very helpful, thank you! If you could talk about whether or not you'd call the candidate for an interview or if they would need more projects/experience and you wouldn't call them at this point, that'd be very insightful. If you could also talk about red and green flags that you look for in an entry level DS resume, that'd be great.
Yes, I definitely will in my next Resume Review. Thanks for watching!
Any thoughts on Roger Peng's data science specialisation on Coursera? I'm half way through and it's been pretty good so far.
I'm on the capstone course. There's a lot of issues with it but I'm glad I took it because I learned a lot of new things from it, and the projects were fun to do. A few things I would say they need to improve on is the peer-review, the lectures only covering topics shallowly, the instructors just reading from slides, especially in the statistical inference and regression models courses. Overall I'm glad I took it because I'm majoring in statistics and it gives me an upperhand in using R. Hope you learn a lot from the course as well. We can connect on discord and discuss about it if you want. Cheers.
You sir are an absolute LEGEND!
Thanks! I'm glad you like this content!