If you have your basics clear, try solving datasets from Kaggle first. Good profile helps.  
 They slowly move into understanding llm models and prompt.

i need to strengthen on my basics, any help for that

Start with Andrew Ng Machine Learning course.

Software Engineer

Start with statistics, the learn implementation using python or matlab.

Hello, im a  first year PG student studying AI& ML. I want to up skill myself and be industry ready in the next 45 months and how do i do it? I feel very overwhelmed and lost at this point. Can som...

Welcome to Data Scientists'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

How to get better in ML Domain- Grapevine

Welcome to Product Managers's Private Community

Hello,

Thinking of upskilling/educating myself to venture more into the AI driven product management style.

All I know is to start with Andrew NG's Intro to Generative AI course.

Would really appreciate it if you could guide me on how to proceed after that.

Thank you!!

Courses to pivot towards AI Product Management

Management Consultant

Welcome to Business Roles's Private Community

I've done my Btech in EC from NIT. Worked for 2Y as a dev in IT Services co. Then I did my MBA from one of the old IIMs. 
Got placed as a "Consultant" in one IT services co, where JD said the role is client facing and business centric. Have been working here for close to 2Y. Basically I'm part of an Agile project team, as another Dev/QA resource. I basically do QA for project releases and occasional SQL scripting. Tried internally to switch to a Project/BA role but this experience is hindering me. Outside it's even worse as I don't even get shortlisted.
I believe I have good skills to excel in Product/BA/Project roles. But not getting them as I don't have any prior experience. My confidence is very low now and my career seems to go nowhere.

The pay is also worse, 21.6LPA currently ( of which 17.6 is fixed). I'm not complaining and this money is a lot for most people. But it's not even close to what my juniors after 2 batches earn. 

The only upside in my job is no pressure and can work remotely most days.

What should I do ?
Shall I learn AI/ML and move to an Individual Contributor role ? How to get shortlisted for these after prep?

Any advice or leads would be helpful, TIA.

Need guidance on my career path

Analyst

Welcome to Software Engineers's Private Community

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 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?

I’m planning to switch to AI/ML. Anyone here who have done this personally or know how one can achieve this? Would really appreciate any suggestions.

Guide on Switch to AI with 12yoe

Engineering Manager

I have 8 years of experience in software and firmware development. Looking to upskill. 

I have been looking at courses in upgrad. But need some solid recommendations.

Need reccos on best PG course in Data science and ML?

Tech Lead

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. :)

Learning ML/AI for the sake of learning

Product Owner

YOE - 5 Profile - business Analyst, good with SQL, average with python and ML concept, but worked on python and ML in my previous company. 
Requesting advice to get into machine learning or gen ai profile. Courses or anything else that would help. I understand it's a 6 months to one year journey.... Anyone who has transitioned recently kindly help.
Reason to move - better opportunities and jobs moving towards Gen Ai.

Suggestion to get into ML and Gen Ai

Founder

How to get into ML / AI ? I have spent almost 5 years in product based tech giants. Now I want to move to an AI role or keep updated about AI so that in the near future my role would not be obsolete. My company doesn't have data science role.

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

AI/ML fresher

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

Business Analyst

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

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

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

I have working experience of 5+ years in the banking and  IT industry. I am skilled in SQL and PL/SQL languages. I am working on Oracle Fusion Products. 

I find Data science and analytics fascinating, I want to make a career shift in this field. 

Please suggest how I can make this shift happen with no years of actual work experience in the data science and analytics field.

I need to make a career shift to Data Science

Software Developer

Systems Engineer here looking to adding another skill in addition to(not in replacement with) my current backend one.

Wanted to know what were the different certification options are available to me if I wanted to upskill and be taken seriously for it, rather than another engineer riding a fad.

Based on my preliminary research I am consider these-
1. Andrew Ng course on ML
2. AWS ML certification 
3. Google Cloud ML certification
4. Upgrad ML Executive PG

Not sure about market applicability of 1, 2 and 3 I fear would box me into that specific cloud environment and 4 is just too damn pricy in addition to having no idea about market applicability.

How to get better in ML Domain

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