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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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These are energy analytics top areas to focus


energy analytics
Energy Analytics is a new area started recently. The below are the key points in analytics.

According to Siemens, Outsource your energy data management as a service and benefit from regular analyses performed by our energy experts. Evaluations show that this service makes it possible to easily achieve savings potential of as much as 5 percent.

Headlines of energy analytics

  • Market Forecast: Energy Data & Analytics
  • Energy Data Management & Analytics Business Skills
  • Big Data in an Utilities Environment: Real Case Studies
  • Advantages of Big Data & Analytics: Smart Metering & Cloud Computing
  • Innovative Solutions & Technologies
  • Data Analytics in a Smart Grid Perspective - DONG Energy Case Study
  • Big Data in the TSO Business
  • Achieving Benefits From Smart Meters Deployment With Advanced Analytics - Return on Experience From Large Scale Deployments in the US
  • Smart Grid Cybersecurity, Frameworks and Standards
  • Adopting Open Source Software in Energy Analysis
  • Data Analytics: The Backbone of the Emerging Smart City

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