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Best Machine Learning Book for Beginners

You need a mixof different technologies for Data Science projects. Instead of learning many skills, just learn a few. The four main steps of any project are extracting the data, model development, artificial intelligence, and presentation. Attending interviews with many skills is not so easy. So keep the skills short.
A person with many skills can't perform all the work. You had better learn a few skills like Python, MATLAB, Tableau, and RDBMS. So that you can get a job quickly in the data-science project.
Out of Data Science skills, Machine learning is a new concept. Why because you can learn Python, like any other language. Tableau also the same. Here is the area that needs your 60% effort is Machine learning.  Machine Learning best book to start.

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Big Data: Top Cloud Computing Interview Questions (1 of 4)

The below are frequently asked interview questions on Cloud computing:
1) What is the difference between Cloud and Grid?
Grid:
-Information service
-Security Service
-Data management
-Execution Manageement
Cloud:
- Maintains up-to-date information of resources
-Create VMs according to user requirement
-Application deploment
-User management

2) What are the different cloud standards?
-Interoperability standards
-Security standards
-Portability Standards
-Governance and Risk standards

3) What are the two different sub-systems in Cloud computing?
-Management sub system
-Resource sub system

4)What is Cloud compouting?
The promise of cloud computing is ubiquitous access to a broad set of applications and services, which are delivered over the network to multiple customer.

5) Why we need specialized network for Cloud services?
The public Internet is the simplest choice for delivering cloud-based services. In this model, the cloud provider simply purchases Internet connectivity and its customers access the services via their own Internet connections. However, modern high-performance applications are raising communication and bounded-time execution requirements that the public Internet cannot meet neither at the present nor even in the foreseeable future.

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