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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Saksham Pandey
SPDF • 1y
Most asked data structures in interview
Arrays.
Linked lists.
Stacks.
Queues.
Trees.
Graphs.
0 replies1 like
sai dheeraj
Managing Director fo... • 4m
Required supervisor/engineer
for construction company to look over existing projects in hyderabad location
salary will be based on their performance
2 replies4 likes
Aryan Gupta
Welcome every experi... • 1y
Is data analytics is good carrier skill to learn in 2024 ?
2 replies5 likes
Inayat Hasan
Software engineer • 1y
[This post has been deleted by the creator]
0 replies2 likes
Harshabardhana Parida
Machine Learning Ent... • 1y
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
#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... • 1y
🚀 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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