About Sollers

Sollers is a graduate school located in New Jersey, specializing in clinical research, drug safety and pharmacovigilance training.

Our graduate certificate and masters programs cover a wide range of subjects tailored to this fast growing industry, and our graduates go on to highly successful careers in the pharmaceuticals industry and healthcare industries.

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  • Friday | 12 PM - Midnight
  • Saturday | 12 PM - Midnight
  • Sunday | Closed
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    • (848) 299-5900
    • Location
    • 100 Menlo Park, Suite 550
      Edison New Jersey 08837 -2488


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Skills Required For a Machine Learning Job

Posted by Doctor Dan on Sep 12, 2016 5:05:19 AM

Software engineers don’t have to feel stagnated in their fields anymore. Machine learning is a field that is growing and they can opt for. This is the field that requires minimum intervention. You can opt for this field if you want to know how machines collect and analyze data and send it across to different software tools or machines to check the scope and functionality of the data set. While the data analyst collects the data, studies them, and creates reports on which the business decisions are made, a machine learning is more machine based. Therefore, minimum of human intervention or supervision is required.


This is an advanced field in the category of software engineering. Therefore, a good amount of experience and a degree in computer science is required. Programming skills are a must. If you haven’t learnt any programming languages, start with the object oriented languages that deal with the machine logic and interact with the hardware components of the computers.

Machine learning is about coding software that collects and integrates various interfaces in an ecosystem and produces the final output. For instance, a ticketing system can be programmed into usable software that integrates with CRM software, invoice, billing system, inventory, etc. In addition to programming skills, you will also require knowledge of probability, statistics, data modeling, system development life cycle, system algorithms, and more. These are the tools that are worked together to form a system that works, creating a desired output.

It can be applied in a variety of fields that use computers and software to generate receipts, invoices, create a database, collect data, and analyze data. Right from pharmaceutical industry, telecommunication, travel, and many other industries find its use. Industries that have to deal with massive amounts of data on a daily basis, will find machine learning essential.

Topics: Data Science