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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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New Directions for Digital Products (1 of 2)

We already crossed Agriculture, Industrial, Information age. Now we are in digitization age. Many companies investing huge money in digitization.
digital technologies
  • Mphasis - is betting on the digitization of Financial institutions
  • Tech Mahindra - started research on Heath care digitization
  • Infosys - focusing on Automation and artificial intelligence
  • TCS - focussing on Machine learning
  • WIPRO - is focusing on Big data and Hadoop

What is digitization

  • What we mean by digital. Digital data is distinguished from analog data in that the datum is represented in discrete, discontinuous values, rather than the continuous, wavelike values of analog. Thus, the digitization of data refers to the conversion of information into binary code, allowing for more efficient transmission and storage of data.
  • A key differentiator of our current age from prior human history is that, as of the last decade, we not only convert data to a digital format, but we also create data in a digital format. Thus, we now have the digital product, a concept defined by Scupola (2005) as "a product whose complete value chain can be implemented with the use of electronic networks. It can be produced and distributed electronically, and paid for electronically". 
  • Since its inception, the Internet has continued to change the game for IT and allows business to meet today's "qualitative and quantitative diversification of demand". 
  • Once hidden behind corporate walls and offering immense competitive advantages that could be leveraged into profitability, technology is now openly accessible on the Internet. 
  • Competitors--even small start-ups--can adopt it and level the playing field. As a result, technology itself no longer offers a competitive advantage and higher profit. Instead, the way it is applied to or combined with new information or technologies (i.e., the network effect) creates advantage and profitability. 

Internet

  • Not surprisingly, the same evolution has occurred with digital products, as they are the result of the application of technology. 
  • The Internet now makes the production and distribution of digital products available to a wide audience, whether regulated or not. "We have all become potential publishers". The material we publish may be our original work, a copy of someone else's work, or a combination of the two with virtually no formal quality control.

Insights to develop digital products:

  1. Digital products from a Resource Perspective 
  2. Value Creation in Production and Distribution 
  3. Integrating User-generated Content (UGC) 
  4. Quality Assessment and User Perceptions 
  5. Regulation and Monetization

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