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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.

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

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

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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 !!

🚀 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.