Learning path to gain necessary skills and to clear the Azure Data Fundamentals Certification. Exam DP-900.
Learning path to gain necessary skills and to clear the Azure Data Fundamentals Certification. Exam DP-900.

Prerequisites

This certification is intended for candidates beginning to work with data in the cloud. Candidate should have foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.

Why to do it?

This certificate provides you an opportunity to demonstrate the knowledge of core data concepts and how they are implemented using Microsoft Azure data services. Azure Data Fundamentals can be used to prepare for other Azure role-based certifications like Azure Database Administrator Associate or Azure…


Prerequisites

This certification is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial. Candidates should have fundamental knowledge of Machine Learning(ML) and Artificial Intelligence(AI) concepts and related Microsoft Azure services.

Why to do it?

This certificate provides you an opportunity to demonstrate the knowledge of common ML and AI workloads and how to implement them on Azure cloud. Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate. …


Source: Sophos Home

Introduction

In this guide we are going to create and train the neural network model to classify the clothing images. This is based on Basic classification tutorial from TensorFlow. We will use TensorFlow deep learning framework along with Keras high level API to build and train the model.

Import Libraries

Load Data

  • We are using Fashion MNIST dataset which contains 70,000 grayscale images in 10 categories.
  • We will use 60,000 images for training and 10,000 images for testing the model.
  • You can load the data directly from TensorFlow using fashion_mnist.load_data()
  • The images are 28x28 NumPy arrays, with pixel values ranging from 0 to 255…


In short NLP is an AI technique used to do text analysis. Whenever we have lots of text data to analyze we can use NLP.
In short NLP is an AI technique used to do text analysis. Whenever we have lots of text data to analyze we can use NLP.

Introduction

We generate tons of data every day. Our WhatsApp chats, phone calls, emails, SMS’s contains unstructured data which is easy for us to understand but not so easy for machines. In fact around 80% of available data is in unstructured format and considering the growth of faceless apps like Chatbot, this is going to increase. Majority of this unstructured data is in text format. It’s easy for humans to analyze and process the unstructured text/audio data but it takes lots of time and quality also varies. …

Satish Gunjal

Data Scientist, Machine Learning, Deep Learning, NLP, CX Architect, Conversational AI, Analytics & Process Optimization. www.satishgunjal.com

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