Deep learning with PyTorch on Udemy by Daniel Bourke

Decision Scientist

Sebastian Raschka deep learning course on YouTube... DL basics and pytorch

Software Engineer

Videos on freecodecamp are a good place to start. https://pytorchstepbystep.com/ is great as an intermediate guide.

Principal Engineer

Welcome to Data Scientists's Private Community

Can anyone suggest me some resources to learn pytorch

Data Scientist

Can anyone suggest me some resources to learn pytorch- Grapevine

Welcome to Software Engineers's Private Community

Suggest a good way to learn AI.

This is perhaps the best book I have ever read on Python and Data Science. 
I am trying to learn a bit more before going for my MS. Can anyone suggest more resources?

Data Science from Scratch, Second Edition

Can you all share best resources for transitioning into Data Science?

Software Developer

Welcome to IT Company Discussion's Private Community

Can someone please suggest some good resources to learn pyspark.....?

Pyspark

Data engineer

Hello everyone, I'm a student doing masters in computer science. I want to make my career in data science. Which mathematics topics and depth of that topics are needed to learn things in depth in the about machine learning, data processing and all. Also needed advice from working professionals from this field about day to day works as a data scientist.

Also suggest books or any resources.
Thanks in advance.

Mathematics for Data science

Welcome to Indian Startups's Private Community

Hi all I am looking for resources to learn Deep Learning and Neural Networks.
Currently working with Keras APIs and Convolution methods.
Kindly share relevant links for the same.

Anyone who’s into building Neural Networks let’s connect would love to hear about your experience, I am building a product for gaming industry.

Deep Learning / Neural Network Learning Resources

Consultant

Hi guys, I am a Backend Engineer, with the evolving trends in AI and ML , I want to make myself familiar with things like Machine Learning, Deep Learning and LLM stuff. would appreciate free resources or a path.

Thanks

🙏 

Also do share your experience moving into these domains.

Free Resources to learn and break into AI/ML domain

Hello people ,
I'm new in IT with 2YOE. If you know any resources where I can learn the basics of K8 , it would help me a lot.
General web surfing and watching videos on YouTube have helped me a little bit I'm not able to decide. 
Any courses , certifications , YouTube videos , playlists would help !!!!

Thanks 😁

Suggestions to learn Kubernetes

Systems Engineer

Guys can someone suggest me a good course for Python on YouTube ? That Covers all the Concepts.

SUGGEST A TUTORIAL .

Hey there, I'm a Full Stack JavaScript Developer. All of my experience, projects revolves around javascript and typescript. Now I want to step into Python any suggestion for good resources to learn python basically to start with development.

A suggestion

I am to move into an ML platform engineering team a few months down the line.  Most job opportunities for an ML platform engineer mentions strong knowledge of kubernetes, Kubeflow/ML flow, API design and deployment along with coding language(usually Java, python or Go). 
Are there any must read resources which could help me while upskilling for this role? I already have access to O'Reilly and have read and practiced most of the exercises on Kubernetes.

Resources to upskill and move into ML platform teams

Kindly suggest some good tutors for learning python for data analyst role?

Associate Consultant

Hey people of Grapevine,

I have an MBA in finance and I'm currently working as a QA data analyst at Wells Fargo.
I have a previous 1 year 3 months workex as an Android developer in a startup company (I'm a CS undergrad).

The current role I'm working in requires coding in python to automate Excel files we get to check certain data standards for compliance and validate Excel files based on some standards. Mostly even manual validation of excel files. 

I want to switch my job to work in good ML projects with finance as my domain, for this I have made a strategy:
1. Get a FRM level 1 certification (for the CV to get shortlisted)
2. Learn ML on Kaggle and solve problem sets as a way to prepare for the interviews of ML roles.
3. I'm considering to get an FDP certification as well. (https://fdpinstitute.org/Curriculum-Overview)

My concerns now are:
1. Is the above a valid startegy to crack a fin ML role? (please suggest if anything better)
2. Is FDP a good certification (I know it's not much heard of, but the curriculum is good)
3. What kind of companies and roles can I apply for if add these CV points and if I can get skilled in the above? 

Please do give me your inputs. Any kind of suggestions are appreciated.

Strategy to convert an ML role

Data Analyst

Hi everyone,

On the hunt for top-notch data science resources! 🚀 Any recommendations for online courses, books, or tutorials? Share your favorites! 📚 Thanks a bunch! 🌟

#DataScience #LearningResources #TechSkills

📊 Seeking Data Science Learning Resources 📊

With a lot of things and hype around AI, I am having real FOMO. I want to start learning about AI and planning to do some mini projects involving the latest LLMs and Other AI library. 

Could anyone suggest plan or resources on How do I start my journey in AI and learn generative AI

Learning AI

Hi all Analytics folks,

I need your help, suggestion and whatever you can in python project in data analytics.
I have a couple of doubts in it.

I'm a data analyst having 2 year of experience while i know python but never worked in it. I used SAS and SQL. I'm giving interviews since couple of months and I'm realizing interviewers aren't so happy from the project i did in my company, it's sort of reconciliation ane validation.

1. Now I want to build some portfolio project in python specifically in data analytics(excluding any ML algorithms) but unable to find any. I'm searching projects in marketing customer segmentation and risk analytics but i found everyone is using ML in these projects.

Can't it be done without using ML or I'll have to use ML algos and core stats in building portfolio project.

2. What you guys do in your day to day work in python. Ratio of your work in python, sql, excel and other tech stacks. Excluding ML coz I'm not focusing on it for now.

Note: pls help your buddy 🙏🙏

Need your suggestions in Data Analytics project in python 🙏🙏

Cloud DevOps Engineer from a Year and a Middleware Admin formerly. 
I'm eager to switch to MLOps and learnt a bit of Basic concepts in Python. 
I bumped into some ML basics Training from YouTube - AndreNg, iNeuron etc and couldn't find a Quality content that covers all Fundamental concepts. 
I find most of them in GitHub and I'm a kind of learner by watching the concepts explained (trainer videos) with practical lab examples.
Can anyone suggest if you know any learning courses?
Or what are your recommendations from your learning experience?

MLOps Learning for Beginners

DevOps Engineer

MLOps for Beginners

Hey everyone, 
As the title suggests, I'm looking for resources to learn ML/AI just for the sake of learning, and potentially doing projects of my own with the knowledge I learn. 

I'd appreciate any responses on the same!

Background: Product. I try and learn about engineering stuff regularly. :)

Can anyone suggest me some resources to learn pytorch

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