Back

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

Most asked data structures in interview Arrays. Linked lists. Stacks. Queues. Trees. Graphs.

Required supervisor/engineer for construction company to look over existing projects in hyderabad location salary will be based on their performance

Is data analytics is good carrier skill to learn in 2024 ?

[This post has been deleted by the creator]

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??

#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 !!

🚀 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! 💬 #

The data science and analytics industry is expected to reach $3.03 billion in 2024, with over 72,000 data science job openings.