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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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Internet Of Things Awesome Basics You Need to Read Now: Part-2

Internet of things(IoT) is a booming field, along with human intelligence. Across the world all software companies investing heavily on these platforms to grab opportunities coming ahead.

I want to give here various applications we can use IOT:

  1. For individual users, IoT brings useful applications like 
  2. home automation 
  3. security 
  4. automated devices monitoring and management of daily tasks.

For professionals,

  • automated applications provide useful contextual information all the time to help on their works and decision making. 
  • with sensors and actuators, operations can be rapid, efficient and more economic. 
  • Managers who need to keep an eye on many things can automate tasks connection digital and physical objects together. 
  • Every sector's energy, computing, management, security, transportation are going to be benefitted with this new paradigm. 

Vision

Development of several technologies made it possible to achieve the vision of the Internet of things. Identification technology such as RFID allows each object to represent uniquely by having a unique identifier.
Identity reader can read any time the object allows real-time identification and tracking. Wireless sensor technology allows objects to provide real-time environmental condition and context.
Smart technologies allow objects to become more intelligent which can think and communicate. Nanotechnologies are helping to reduce the size of the chip incorporating more processing power and communication capabilities in a very small chip.

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Hyperledger Fabric: 20 Real Interview Questions

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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
IF, IFIF 'ELSE'IF 'or'IF 'and'Nested IFIF 'continue'IF 'break'
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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