https://www.youtube.com/watch?v=afPJeQuVeuY 
  
  
 Watch this video and read the book Data science from scratch.

Hi! This has only one algorithm technique. I want a course which covers all the algorithms covering enough background

Analyst

Business Analyst

Welcome to Data Scientists's Private Community

How to cover ML concepts in a week. Please suggest. I have basic understanding of the various models but not in depth.

How to cover ML concepts in a week. Please suggest. I have basic understanding of the various models but not in depth.- Grapevine

Hey guys, 
I want to revise my ML & DL concepts and would like to know if anyone knows good references/sources to revisit the concepts
I want to cover the algorithms in fundamental depth rather than just application of models
(
ex : difference between gradient descent / ols  regressions
When to use beta in classifications when looking at f score etc. 
what is the difference between acf/pacf in time series 

Can someone suggest good sources where I can go through such concepts in depth?
)

Fundamentals of ML&AI

I have had my fair share of playing around with different Kinda off generic Ml models and projects but It had been mostly random and not organised.

So now i want to dive deep into some niche in this field maybe even understand some relatively easy research paper and work on it too. 

Before doing all that I still want a very good base in the fundamentals. So as an experienced person in this field or a skilled student or a tutor do you have any suggestions for me maybe some resources which i can use . Also i must say that i am not planning to spend a lot of time(at most a month) for clearing the fundamentals as i am aware of most of the stuffs and wish to focus more on a specific concept as quickly as possible.

A fast paced onto the point approach will be really helpful. Are statquest videos good enough for this ?

Also i will really appreciate if you have anything else to tell me beyond what i asked for.

Thank you.

Guidance for ML breadth/Fundamentals

Welcome to Software Engineers's Private Community

Hello, im a  first year PG student studying AI& ML. I want to up skill myself and be industry ready in the next 4-5 months and how do i do it? I feel very overwhelmed and lost at this point. Can someone guide me through things?
Thank you

How to get better in ML Domain

Suggest a good way to learn AI.

Software Engineer

Hey guys, so I have been interning at a company for the past 9 months. They have offered me a ppo and I will most likely accept it. But my interest lies in the ML field or some data fields such as data engineering. 
Can anyone advice me how do I go about it?
Like should go for masters(my undergrad degree is not CS or some pheonix branch). Should I learn on my own and keep giving interview. Or should I take some experience in sde and then switch?
Thanks in advanced

Advice for switching from SDE to ML/Data fields

I have an interview in a week and wanted to know if there any tips you would like to give. I have asked the recruiter what kid of question will be asked and the response was: the questions will be around building, deploying and scaling efficient ml models into production.

ML Engg interview tips

Data Scientist

Welcome to IT Company Discussion's Private Community

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 for Beginners

DevOps Engineer

I am an ML enthusiast and have been learning Reinforcement Learning and other Algorithms to shift my profile to ML engineer. But as soon as I started applying for jobs, every job is looking for people who have experience in GENAI, LLMs, etc. So I want to know, how can I become one?

How to become a GenAI Developer?

Anyone got recommendations for GenAI/LLM/diffusion models courses/books?
Research papers/GitHub repos are also okay as long as it's good.
Also anything on deployment/end user apps for LLMs?

I got a week off might as well catch up on reading.
Thanks

Books/resources for GenAI?

Founder

MLOps Learning for Beginners

How long would it take to learn Ai/ML from Scratch for fresher

AI/ML fresher

I have 3 years of experience in other domain and i am trying to get into Data science. Any suggestions amid these layoffs ?

Trying to get into Data science

Machine Learning Engineer

Hi,
I am a software engineer with 12 years of experience. 
I need some suggestions.
1: Is it too late now to learn Data Science and pursue a career in it?
2: If I want to learn the necessary concepts of ML what path I should follow?
3: I find the maths behind the ML models a bit confusing can anyone please suggest any good resource for that?

Need help to Data Science path

Software Developer

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.

How to cover ML concepts in a week. Please suggest. I have basic understanding of the various models but not in depth.

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