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Aizaz Ali
Aizaz Ali

16 Followers

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Published in

Towards Data Science

·May 17, 2020

Serverless machine learning architecture on leading cloud platforms

Machine learning architecture on Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure — The cloud platforms themselves have various services which can be mixed and matched to satisfy the need of any business case with the allocated budget. Here I am going to pick a generic example mentioned here and discuss the architecture on above-mentioned cloud platforms. Since the architectures are serverless, there…

AWS

6 min read

Serverless machine learning architecture on leading cloud platforms
Serverless machine learning architecture on leading cloud platforms
AWS

6 min read


Published in

Towards Data Science

·May 10, 2020

Publishing the model to get predictions on new data from Rest API

Getting predictions on the data from Rest API with the model hosted using TensorFlow Serving. — So, you have a beautiful model which works like a charm on the data. Now, you want to put that model in production and get the prediction on new data. Let me introduce to you TensorFlow Serving a system designed to serve trained model in production. By default, it comes…

Web Services

2 min read

Publishing the model to get predictions on new data from Rest API
Publishing the model to get predictions on new data from Rest API
Web Services

2 min read


Published in

Towards Data Science

·Apr 26, 2020

Finding a way to an igloo on a foggy lake with reinforcement learning

In the “frozenlake-nonslippery” environment using cross-entropy method to get started with reinforcement learning. — The learning of optimal decision over time by an agent in an environment is generally how reinforcement learning is defined. At a high level there are several methods in reinforcement learning, classified and explained in an oversimplified manner as follows: 1. Model-free or model-based: a. Model-free: Brute force method where agent…

Cross Entropy

5 min read

Finding a way to an igloo on a foggy lake with reinforcement learning
Finding a way to an igloo on a foggy lake with reinforcement learning
Cross Entropy

5 min read


Published in

Towards Data Science

·Apr 19, 2020

Classifying the position of the football player with Sklearn.

Using Fifa 18 game data, classifying a football player as a CM, ST, CB and GK. — Thanks to ‘Aman Shrivastava’ for sharing the data. We will be using the provided dataset which is processed and ready for the purposes. Use case: As a user, I have statistics of a player and I want to know whether the player should play as a Striker (ST), Center Midfielder…

Fifa 18

4 min read

Classifying the position of the football player based on their performance statistics using FIFA…
Classifying the position of the football player based on their performance statistics using FIFA…
Fifa 18

4 min read


Published in

The Startup

·Apr 12, 2020

Understanding the MNIST and building classification model with MNIST and Fashion MNIST datasets

Level: Beginner Python understanding: Intermediate Knowledge of data science: Intermediate Objective: Develop an intuition of multi-dimensional dataset. Goal: A trained model which does Image Classification IDE: To get started I will recommend using Jupyter notebook on Google Collaboration. Regarded as the hello world of Deep Learning, this dataset exposes inspiring…

Mnist Dataset

6 min read

Understanding the MNIST and building classification model with MNIST and Fashion MNIST datasets
Understanding the MNIST and building classification model with MNIST and Fashion MNIST datasets
Mnist Dataset

6 min read

Aizaz Ali

Aizaz Ali

16 Followers

A data scientist more leaned towards reinforcement learning.

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