Machine learning

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Roadmap To Success How To Become a Machine
Learning Specialist Over the past decade, we
have witnessed the transformation of Machine
Learning, starting from taking photos with
blurry backgrounds to now getting our queries
answered by virtual assistants like Alexa and
Siri. Such applications and products have people
hooked on to them because of implementing
machine learning at its crux. If you are also
interested in becoming a machine learning
specialist and want to polish your skills or
want to know all the qualifications you need for
the job, then heres what you need to know. You
may go through our brief version of a more
well-elaborated learn path and find out more
details of the same towards the end of this
article. What is machine learning? Machine
learning is a branch of Artificial Intelligence
and Data Science built on the idea that
computers can deal with tasks that, until now,
have only been executed by people. It is the
field of study that enables systems with the
ability to learn without any human interference
or definite programming. Its one of those
exhilarating technologies that is promptly being
used in many places than one would
expect. Difference between artificial
intelligence and machine learning Mostly, people
tend to use artificial intelligence and machine
learning synonymously without actually knowing
what they really mean and how they function.
However, both these terms are actually two
different impressions. Artificial Intelligence
is essentially a superset of Machine Learning
that stimulates a computer system to impersonate
human intelligence. It has a wider range of scope
and is engaged in creating a smart system that
can perform various high complexity
tasks. Machine Learning is a subdivision of AI
that stimulates a system to consequently learn
from past data without definitive programming.
It has a narrower scope compared to AI and
primarily focuses on making machines execute
only the specific tasks in which they are
schooled. Learning paths If you want to learn or
get acquainted with a tailor-made skillset and
become a competent Machine Learning Specialist,
then there are two different methods of learning,
namely offline and online mode of learning. The
E-learning mode is preferred by those who want to
take up a certification or free crash course to
qualify with relevant skills and competencies. On
the other hand, Traditional learning is apt for
those who want to pursue a masters or bachelors
degree in Machine Learning and Data
Science. Well, both methods have their own
advantages and disadvantages. However, its
generally best to take up an online course as it
is more beneficial with regard to convenience,
cost and time.
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Skills required To qualify as a Machine Learning
Specialist, you need to equip yourself with some
necessary soft and technical skills that can be
learned through various courses. It is further
classified into three categories
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• Prerequisite skills
• This refers to non-technical skills and is
  required when you begin your ML journey. They
  are as follows

• Communication Having solid communication skills
  is vital to progress in this career. It is not
  uncommon for a machine learning engineer to
  communicate and explain important technical
  concepts to people with minimal or no proficiency
  in this field.
• Curiosity and exploratory nature It refers to
  having clarity on what the concept is and what
  its demands are. It is essential to have
  certainty about the subject matter and a strong
  drive to explore more about this field.
• Structured thinking When data is involved, it is
  critical to abide by a structured, logical
  progression in order to analyze a problem and
  arrive at a solution in an organized way.

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• Storytelling skills You must possess these
  skills to deliver the data in an
  easy-to-understand pattern to arrive at coherent
  material.
• Math and Statistics Having a basic knowledge of
  math and statistical concepts will aid you at
  many different levels, especially in this field.
• How to Learn?
• These are topics you can learn through textbooks
  or even through short videos posted online by
  multiple platforms. Here, we have curated a list
  of courses that can help you learn these topics
• Statistics for Data Science
• Provider Henry Harvin, Price ?7,500 or 97,
  Duration 8 Hours, Level Intermediate
• Statistics Essentials for Analytics, Edureka
• Provider Edureka, Price ? 5,099 or 66
  Duration Flexible, Level Intermediate
• Data Visualization It requires you to be
  well-versed with various data visualization
  tools such as MS Excel, SQL, Tableau, etc, to
  draw meaningful insights from large datasets.
• How to learn?
• These are topics you can learn through textbooks
  or even through short videos posted online on
  multiple platforms. However, we have curated a
  list of courses that can help you learn these
  topics
• SQL Essentials Training Certification
• Provider Edureka, Price ? 6,799 or 87,
  Duration Flexible, Level Beginner

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• Novice skills
• These are some important technical skills that
  essentially revolve around information
  technology. Lets briefly go through them

• Advanced Excel Being well versed with advanced
  tools like VLOOKUP, HLOOKUP and having
  specialized knowledge of PIVOT tables in MS Excel
  will be extremely beneficial for you to secure a
  bright future in ML.
• How to learn?
• MS Excel, from beginner to advanced level, can be
  learned in just a few weeks through the abundant
  free resources that are available online.
• MS EXCEL 2016 Certification Training, Edureka
• Provider Edureka, Price ? 7,203 or 93,
  Duration Flexible, Level Advanced
• Advanced Excel Course, Henry Harvin
• Provider Henry Harvin, Price ?6750 or 87,
  Duration 24 Hours, Level Intermediate

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• Machine Learning Basics It goes without saying,
  to become a good machine learning specialist,
  one should be well informed on all the common
  machine learning basics. They are divided into
  three types starting, from Supervised to
  Unsupervised and going to Reinforcement learning.
• How to Learn?
• Having good theoretical knowledge is amazing, but
  implementing it in a real-time deep learning and
  neural networks project is another task. You
  might get different and unexpected results based
  on various problems and datasets. Here are a few
  courses to learn these topics
• Deep Learning Nanodegree Program
• Provider Udacity, Price ? 63,956 or 824,
  Duration 4 months, Level Beginner
• Deep Reinforcement Learning Nanodegree Program
• Provider Udacity, Price ?77,676 or 1K,
  Duration 4 months, Level Intermediate
• AI and Cloud Computing Possessing the knowledge
  of AI and cloud computing basics can help in
  enhancing your expertise and give you a holistic
  experience in this field.
• How to Learn?
• To gain in-demand skills in cloud computing to
  take your career to next level, here are some
  relevant training programs and certifications for
  beginner, intermediate, and advanced learners
• Cloud Computing E-Degree
• Provider Eduonix, Price ?2650 or 34, Duration
  50 hours, Level Beginner

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• Expert skills
• These skills are required to move from novice to
  expert level in machine learning. Lets quickly
  overview them

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• Text Mining It uses natural language processing
  to translate unstructured text into a structured
  configuration.
• How to Learn?
• Data mining plays an important role in Machine
  Learning and understanding it beforehand will be
  highly beneficial. Here are some courses we have
  shortlisted for you to master data mining.
• Data Mining Specialization
• Provider Coursera, Price ?8,653 or 111,
  Duration 3 months, Level Intermediate
• Data Mining Foundations and Practice
  Specialization
• Provider Coursera, Price ?8,653 or 111,
  Duration 3 months, Level Intermediate
• Artificial Neural Network It functions across
  multiple layers starting from when the data is
  received in the input layer, which then goes
  through several hidden layers, which helps in
  translating the raw data into a valuable form for
  the output layer.
• C It is commonly found in games and large
  systems and is famous for its transportability.
• How to learn?
• These are topics you can learn through online
  videos or various certification courses. Here
  are some courses that can help you understand
  these topics
• C Nanodegree Program, Udacity
• Provider Udacity, Price ? 77,676 or 1K,
  Duration 4 months, Level Advanced

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How to Learn? You can learn these topics through
textbooks or even through short videos posted
online on multiple platforms. Furthermore, we
have shortlisted the best courses for you below
and you can enroll for the most suitable
option. Apache Spark and Scala Certification
Training Provider Edureka, Price ?19,795 or
255, Duration 36 hours, Level Intermediate
Big Data Hadoop Certification Training Provider
Edureka, Price ? 16,995 or 219, Duration 30
hours, Level Intermediate Conclusion In
recent times, Machine Learning has become more
pervasive and is everywhere around us. Hence,
wanting to become a Machine Learning Specialist
has a lot of scope and potential in itself. And
so, we have put together a thorough learn path to
guide you through suggestive skills required,
learning courses and potential career options. To
future-proof your career and improve your
prospects, do check out our Learn path for
Machine Learning. You can also probe into a
variety of learn paths catering to different
industries. Please view them from our advice
page. To learn more about the skills, Enroll
today in the best available and highly curated
courses in Artificial Intelligence and Data
Science. About us Careervira.com is a global
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