Check out my video on the Titanic dataset - I think you'll like it https://youtu.be/SffkBc1MQ40
Loved your video. Buy kindle edition to reduce some cost of ownership
Can I read the second edition without reading the first edition?a
is still recommended for 2022 ?
What book would you recommend that has every example in C++ instead of python? Also, what book for just the high level theory, without using actual coding, that could then be adapted to any computer language? In particular, I want to be able to write neural networks in C++, because then I can essentially create C++ bindings that I can use in any language - for example, creating binding languages in Xamarin, WASM, etc ... unfortunately, python isn't portable enough, yet I can even use C++ libraries in embedded devices that use the Zepher RTOS, such as Nordic's nRF5 SDK etc. Great review, btw!!!
I confirm everything you said.
I think 90% of people who wish to learn anything significant, or anything even moderately complex, should learn it top down. Abstraction->details
I just made to thru chapter 3 motivated learner as you described. I went thru a few crash courses on python but am loving it!
Read ,, An Introduction to statistical Learning" from Hastie, T. et al (2021) 2. Edition
Hi Giles, I have been watching your channel for quite a while now. I have started reading this book in order to learn more about ML. I am now starting with chapter 3. But, I have a question and it is that "How do I use this book in the best way?". Just reading is not enough (after reading 2 chapters and not writing the code), so, I think I should start writing alongside the chapters but that will take a long time to finish each chapter. So, I was wondering who has read the book before, he might be able to tell what is the best way to go about learning ML through this book?
Thanks for posting such good reviews and resources about ML and python!
Hope you will see this comment soon! @Python Programmer
I want a bit of advice. I was planning to get started with ISLR 2. But, this book is also great. Which one will you recommend to get started with?
Note: I'm really motivated enough to learn machine learning.
Some Criticisms of the bookالانتقادات
please make a video when it's 3rd edition comes out
Can anyone pls give me the link of the pdf version of latest edition of this book.
how about python machine learning by sebastian raschka?
As a beginner I found this book very difficult to understand...
Hello my friend, how's it going? I'm enjoying a lot with your channel, I started to learn Python and I'm working as a Networking Enginner and Python has been useful for me to solve my problems. By the way tell me the name of that book TCP/IP in your background
sir, i know the python and i also done two courses of ML from Andrew Ng so, can i buy this book or i have to learn more . plz guide
I bought this book and boy is it heavy !!!
What is the cost of this book...
I would like to start in ML's field. This book looks great but what other book should I use to supplement the theory part?
I have both of hands on machine learning with python and pyhton for deep learning how can I use them
is still this book recommended for 2022 ?
Bianco, what about: Machine Learning for Asset Managers By Lopes de Prado?
For my program in stats, I read the elements of Statistical learning, still my favorite book. I read Applied Predictive Modeling by Max Khun. I would recommend this book to anyone, it's a good read.
Which books do you recommend as companions (for Math, and other lacking areas) of this Hands-on ML book?
Do I need to learn Python before following this book? I know only the basics of Python.
I don't know a thing about ML. I am a Python programmer, have done a some matrix stuff before, is this a good book for a complete beginner for me?
Why buy this book if there is good online documentation, udemy courses, YouTube, medium, Twitter?
Well I would comment on that book as a general view of machine learning The most important part is in chapter 1 and chapter 2
and the rest of it I recommend everyone should go through the details yourself for example RPCA U should able to build up your own script from scratch
and keep doing new project to keep your mind strong
Reading this book now. It's pretty friendly for beginners.
Does the book by Christopher Bishop provide any additional value for someone who has already gone through the Deep learning book( by Goodfellow and friends) and intro to statistical learning?
Solutions to these exercises are available in appendix A.
Where can i find this Appendix A for hands on machine learning with scikit-learn and tensorflow 2
thanks for comprehensive explanation
does this contains feature engineering ,feature selection things like contents??
Whats happening with your merch?
Good timing mam actually looking to buy this but didn't sure. It's quite expensive. Thanks
Hi! I'm from Indonesia. I like your videos, but it will be so much better if you have timestamps in the description, thank you very much :D
Hey Dimitri! Could you consider making a future video on fintech start-ups?
Awesome video! it would be pretty cool if you did a video on your goals, it would be great to see what a quants goals are today in the industry!
As someone who is hesitant to start learning machine learning because I feel like "I'm not yet ready or well-versed enough in python", this is really, really easy to understand and wrap my head on. Thank you so much for taking the time and energy on putting this out for free. Cheers!
Could i use a different kind of scaler for this data?is it better to use minmax fpr asimmetric data?
Hi Shashank. I'm an Engineer from Spain trying to switch to this sector. Your content is amazing dude. Very well explained. And you just got a new Patreon subscriber just for providing the code for free. You are the kind of guy I would like to be friend of. Peace! (even though you speak quite fast I can understand your english lol)
I couldn't find video of chapter 1
appreciate the efforts thanks
i find your typing sound very satisfactory.
Thanks a lot for your content! It's really really helpful!
I have one question about the data, at Encoding Categorical variables: Is the attribute 'near the ocean' really not better than far from it? I mean, the houses near the ocean have higher prices than others, at least where I live. Thanks again for the help!
Very useful Shashank. Please do more O'Reilly books.
You are a good teacher. Thank you very much.
Do you have a source code or resource for creating: One node task scheduler for reinforcement learning (RLScheduler) in cluster
Very good! makes the book! ~knuckle cracking at 1:19.17
This deserves a lot more views! Man this is gold!!
Receiving "TypeError: cannot unpack non-iterable function object" for this set of data to Select and Train Model:
train_data, train_labels, features= data_transformations
I cannot figure out why
Great video, very well explained each topic. It was easier to understand while going through the book along with the video. Even the 2nd chapter was long, very well explained.
Where is chapter 1?
Good one 😍
But, sound is not enough
We want to more video
Why we have dropped income category from the dataset
Here's the purchase link: https://amzn.to/3J4qpHr
Quick note: the e-book that I'm showing is in color, while the print book is black and white. The charts are still readable, though, and most color shading is still clear.
Hi man, glad to see you again. Maybe you know some good certifications for DevOps/SRE as it for example for network sysadmins like Cisco and others?
Please make more videos about book Review about python, golang, terraform and others themes it will be very interesting.
Looking forward to picking up this book for my interview at Cyberdyne Systems.
4:47 - Is when you understand that Machine Learning is not for you. So, thank you for the video.
Thank you for this review! It’s just what I needed. Have been searching for a while on a good primer on ML for a beginner.
This is awesome. I was checking out the PyTorch org tutorials and they are fun. I think this book review is very helpful. Thanks
Thank you Dave for review. I would be interrested in seeing some videos if you have a real life problem where ML is applicable seeing some piece of code of how to solve that problem. I am in early stages of learning Python.
Can you make a updated XMPP server video please?
XMPP is more popular then ever and you make really good in depth tutorials.
more ML videos plssss