In traditional programming, the focus is on using rules and data to find answers. This is typically represented as rules + data = answers.
In contrast, AI/ML takes a different approach: Answers + data = rules. In AI/ML, we train models by providing
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0 replies4 likes
Saksham Pandey
SPDF • 12m
Most asked data structures in interview
Arrays.
Linked lists.
Stacks.
Queues.
Trees.
Graphs.
0 replies1 like
Aryan Gupta
Welcome every experi... • 1y
Is data analytics is good carrier skill to learn in 2024 ?
2 replies5 likes
sai dheeraj
Managing Director fo... • 2m
Required supervisor/engineer
for construction company to look over existing projects in hyderabad location
salary will be based on their performance
2 replies4 likes
Inayat Hasan
Web devloper • 10m
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0 replies2 likes
Harshabardhana Parida
Machine Learning Ent... • 11m
The Importance of Analyzing Data 📊
Analyzing data is crucial for gaining insights and taking corrective actions. Through Exploratory Data Analysis (EDA), we understand data better and make informed decisions. Machine learning predicts outcomes, aid
What will be the future of data science and ML??
Will demand increases or decreases??
3 replies3 likes
Harsh dhariwal
AI team lead • 8m
#hiring #HiringNow #techtwitter
Hiring for the following positions at letsai.tech
1)Python automation engineer
minimum exp required- 2 years
2)AI/ML trainee
2025 or previous year pass out with relevant experience
📢Please drop your resume !!
The data science and analytics industry is expected to reach $3.03 billion in 2024, with over 72,000 data science job openings.
0 replies4 likes
Om Badoni
B.tech CSE | A.I | M... • 10m
🚀 Just explored C++ basics! 🚀
🔹 Variables: Store data.
🔹 Scope: Where variables can be accessed. 🔹 Datatypes: Define data type (e.g., int, float, char).
Next up: Data Structures and Algorithms (DSA)! Any tips? Drop them in the comments! 💬
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