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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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Top 10 SCALA Quiz Questions for Programmers

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results.

Scala Quiz

But you can also rely on it for large mission-critical systems, as many companies, including Twitter, LinkedIn, or Intel does.


To some, Scala feels like a scripting language. Its syntax is a concise and low ceremony; its types get out of the way because the compiler can infer them. There are a REPL and IDE worksheets for quick feedback.

Developers like it so much that Scala won the ScriptBowl contest at the 2012 JavaOne conference. At the same time, Scala is the preferred workhorse language for many mission-critical server systems.

The generated code is on a par with Java’s and its precise typing means that many problems are caught at compile-time rather than after deployment.


At the root, the language’s scalability is the result of a careful integration of object-oriented and functional language concepts.(Ref-what is Scala).

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