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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.

Related Posts How to write multiple IF-conditions in Python Simplified
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Cloud Computing learn quickly top Terminology you need

Cloud computing is a big ocean. Due to increased services, a developer must know handy about all the glossary or keywords involved.

Glossary Cloud Computing

1) AWS
Amazon Web services

2) Content delivery network (CDN)
It is a distributed system. Servers are located in remote locations. Customers feel that they are accessing the servers by.

3) Cloud
A global network to access the resources.

4) Cloud portability
The feature to move data from one Cloud provider to another provider.

5)Cloudsourcing
Moving traditional IT operations to Cloud computing.

6) Cloud storage
It is a service providing to users to store data using the internet or other private networks.

7) Cloudware
It is a Software that helps to run user applications in cloud computing.

8) Cluster
A group of small computers connected together to form a Single big computer. High availability and load balancing are the main benefits.

9) Consumer cloud
The cloud provider offers service to individual users. You can call it as consumer cloud.

10) Consumption-based pricing model
Cloud computing users must pay some fees to the cloud provides. This fee is based on consumption but not on time-based.

11) Content Management Interoperability Services (CMIS)
An open standard to control documents using web protocols

12) Customer self-service
This is a feature that user can manage cloud computing services using Web Services or APIs.

13) Disruptive technology
Technology with innovative methods and offers benefits to users.

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Python IF Statements Multiple Conditions Examples

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I shared how to write multiple if conditions (statements) in Python. These are the best examples useful for interviews and projects.
Many programmers confuse how to write IF conditions in Python. The below examples act as a handy guide for beginners and experienced.
Python IF Statements the Best Examples
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Best Machine Learning Book for Beginners

Image
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.

Related Posts How to write multiple IF-conditions in Python Simplified
Read more