Deepak Mehta

Deepak Mehta

LLM

15 stories

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Deepak Mehta

Books

9 stories

10 Books Recommended by Sam Altman That Will Expand Your Brain (No, I’m Not Kidding)
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Deepak Mehta

Industry AI project management

1 story

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Deepak Mehta

Mlops

1 story

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Python

7 stories

One unstyled panda and three styled pandas: one with various colors, one with a gradient background, one with a highlight.
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AI

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Statistics

5 stories

Statistical Tests in Python
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Pycaret

18 stories

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supply chain

6 stories

Supply Chain Networks with Monte Carlo Simulation using Python. Learn how Monte Carlo simulation can help design a robust supply chain network considering demand fluctuations. Supply chain optimization uses data analytics to find the optimal combination of factories and distribution centers to meet customer demand. The challenge is maintaining robustness amid fluctuating demand.
Supply Planning Problem with Python diagram showing the cheapest route to deliver products from plants to customers. Two plants (Plant 1 and Plant 2) send products to two distribution centers (D1 and D2), which then deliver to four stores (Store 1, Store 2, Store 3, and Store 4). Solid and dashed lines represent different routes between plants, distribution centers, and stores, emphasizing the need to choose the lowest-cost transportation paths for supply planning.
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Deepak Mehta

Quantum

1 story

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uncertainty

9 stories

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Deep learning

6 stories

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Probability

5 stories

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Python packages

3 stories

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Business science

5 stories

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Dimensionality reduction

2 stories

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Reinforcement

7 stories

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Datasets

1 story

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Simulation

3 stories

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Deepak Mehta

MIP modelling

3 stories

Supply Planning Problem with Python diagram showing the cheapest route to deliver products from plants to customers. Two plants (Plant 1 and Plant 2) send products to two distribution centers (D1 and D2), which then deliver to four stores (Store 1, Store 2, Store 3, and Store 4). Solid and dashed lines represent different routes between plants, distribution centers, and stores, emphasizing the need to choose the lowest-cost transportation paths for supply planning.