So guys I need help . I am trying build my career in AI and have learned basic DSA using and python . Should I go deeper in DSA or continue learning AI
Phanirockzzz
Stealth • 8m
DSA is not at all relevant with AI bruh. You need to go with statistics, calculus, and algebra to understand how models work.
You need to go deep into the evolution of data, ai models and how they are evolved by data, accuracy, upgrades and more.
How is this early stage startups finding data to train their AI models?
12 replies5 likes
Shubham Soni
Stealth • 7m
AI is transforming various industries, from healthcare to finance. Did you know that AI can analyze vast amounts of data and make predictions with a high degree of accuracy?
0 replies4 likes
Chetan Bhosale
Stealth • 19d
💡 5 Things You Need to Master for learn for integrating AI into your project
1️⃣ Retrieval-Augmented Generation (RAG): Combine search with AI for precise and context-aware outputs.
2️⃣ Vector Databases: Learn how to store and query embeddings for e
Researchers are developing AI models to predict the onset of diseases like Alzheimer’s and Parkinson’s. These models analyze patterns in medical data to identify early signs, potentially leading to earlier and more effective treatments.
0 replies5 likes
nuthan kalyan
Stealth • 4m
I had been thinking about this.
The growth and use of AI has been very very high past few years. And company are developing more advanced AI models and soon we may get AGI.
But don't you think this is too much risk and it should be regulated.
T
See More
4 replies5 likes
Amar Chaurasiya
Stealth • 11d
I want to start my career in the field of data science. I have completed a Data Science and AI course from the Boston Institute of Analytics. My skills include Python, SQL, machine learning, deep learning, natural language processing (NLP), statistic
See More
0 replies2 likes
Harikrishnan S
Stealth • 2m
looking for a co-founder. we need someone good with AI/ML models.
you can mail me at harieravim@gmail.com.
1 replies6 likes
Shuvodip Ray
•
YouTube • 6m
AI relies on robust data management across 7 key components to build effective AI models:
1. sources, 2. ingestion, 3. storage, 4. transformation, 5. analytics, 6. governance and security, and 7. orchestration.
Is there anyone from research community?
Related to anyone or many -
AI/ML
NLP
Data scientist
Human Behaviour
Psychology
Psychiatry
Behavioural Marketing
Neuroscience
Endocrinologist
Geologist
Genetic
Evolution
Medial pls help me to connec