Posted on : 19 Oct, 2021, 11:41:19 AM

How to Develop a Career in Machine Learning?

How to Develop a Career in Machine Learning?


Machine learning is continuously exploding its way with smart algorithms that can be used everywhere, from email to marketing campaigns to smartphone applications. With the increasing number of developments in technologies, IoT, and artificial intelligence, the jobs offered in machine learning are gaining higher demand and exposure in the market of technology.

However, there must be chances of not knowing how and from where to exactly start a career in the field of machine learning that can lead newcomers or aspirants in the wrong way. There should be proper agenda on identifying the right opportunity and approaching it systematically. In today's article, let's find out together what are the effective ways to succeed in a machine learning career as the industry offers an exciting opportunity to its aspirants.

AI, Machine Learning & Deep Learning

Artificial Intelligence is one of the main branches of computer science, which involves programs of computers for completing tasks that require human intelligence. Artificial intelligence algorithms focus on tracking perception, language understanding, logical reasoning, learning, and problem-solving.

It is used in numerous ways within the current world and technology. Such as AI algorithms are utilized in the recommendation engine of Amazon, Google searches, and GPS route finders. AI controls robots as Artificial intelligence algorithms are only part of the huge robotic system that includes actuators, sensors, and non-AI programming.

Machine learning refers to a core branch of artificial intelligence and the study of computer algorithms, which focuses on building models and applications based on sample data for improving accuracy and make decisions or predictions without being programmed to do so. It concentrates on developing computer programs to obtain and use data to leave for themselves.

There are three types of machine learning, including

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning

Deep learning is becoming one of the fastest-growing fields of the IT sector in the 21st century. It refers to well-covered skills and a set of technology that permits machines to predict outputs from layered input sets.

Deep learning refers to a part of machine learning that involves a large volume of structured, semi-structured, or unstructured data while using complex algorithms inspired by the brain’s function and structure to train neural networks. Deep learning also performs various complex operations to extract hidden features and patterns.

6 Ways to Succeed In a Machine Learning Career

  • Understand what machine learning is and prerequisites for entering a specific field
  • A healthy sense of learning curiosity is essential for learning new technologies.
  • Machine Learning is a blend of math, technology, and business analysis, designed for logical minds. The focus of translating business problems into mathematical terms
  • Be a team player as a machine learning practitioner can be successful today by being able and ready to interact with the business.
  • Learn Python programming language and effective utilization of machine learning libraries.
  • Brush up their skills and knowledge by learning Machine Learning skills from industry experts through online certification courses or data science boot camps.

Is a Data Science Certification Worth It?

Have you ever questioned what are the role of machine learning certification or data science certification? To know about the advantages and benefits of doing a Machine learning certification course, kindly read the points mentioned below.

  • Certification proves a high degree of interest and self-driven learning.
  • Increases the chances of getting the highest salary package
  • Presents a mark of credibility to the learners
  • Shows proper experience and knowledge in the field
  • Gives aspirants strong knowledge about the current rising industry
  • It makes the candidate eligible for different positions across various industries and domains.
  • Candidates with Machine Learning certification courses can receive attention from the instructor.

Tools and Skills

Aspirants need to have certain skillsets, where job roles such as Machine Learning Engineer/Data Scientist will require to have the hardcore technological know-how and effective business strategies.

 

Domain/Technology

Languages/Tools

 

Statistics & Mathematics

  • Inferential Statistics
  • Descriptive Statistics
  • Differential Calculus
  • Linear Algebra
  • Discrete Mathematics

 

Programming in Python/R

 

  • Managing Data frames
  • Getting Data In/Out
  • Regular Expressions
  • Control Structures,
  • Loop Functions
  • Implementing Machine Learning algorithms

 

Big Data

  • Hadoop Ecosystem (Hive, Sqoop, Pig, Flume)
  • No SQL
  • Apache Spark
  • Big Data Lakes
  • Spark MLLib

 

Business Intelligence

  • Microsoft Power BI
  • SQL
  • Tableau
  • SAP BI
  • Oracle Fusion

Machine Learning

  • Classification
  • Regression
  • Feature Engineering
  • Dimensionality Reduction
  • Segmentation
  • Training and Deploying Models

 

Deep Learning

  • Neural Networks
  • Reinforcement Learning
  • Autoencoders

 

Domain Knowledge

  • Deep understanding of the industry or business you’re working in
  • Understanding the core problem that impacts the business
  • Effective problem-solving strategies

Data Visualization

  • Pandas Visualization
  • Matplotlib
  • Seaborn
  • ggplot

 

 

Top Companies Hiring Machine Learning Professionals

  • Amazon Web Services
  • TIBCO
  • Databricks
  • SAS
  • Dataiku
  • RapidMiner
  • Google Cloud
  • Microsoft Azure
  • IBM
  • MathWorks
  • BairesDev
  • Toptal
  • Merixstudio
  • ScienceSoft
  • IntellecSoft
  • Iflexion
  • Netguru
  • ThinkSys
  • VironIT
  • Intetics

Top Career Opportunities in Machine Learning and their salary differentiation

 

Profession

Minimum Salary

Average Salary

Maximum Salary 

 

 

Machine Learning Engineer

$76,000

$113,000

$154,000

Data Scientist

$67,000

$96,000

$135,000

Data Analyst

$44,000

$61,000

$86,000

Business Intelligence Analyst

$51,000

$70,000

$96,000

Business Intelligence Developer

$57,000

$80,000

$111,000

Program Manager

$73,000

$113,000

$150,000

Financial Advisor

$38,000

$60,000

$110,000

 

 

Why Wissenhive?

  • More than 10K active learners
  • 20+ companies upskilling with Wissenhive
  • 24x7 Learning support from a community and instructor
  • World-class training from subject expert instructors
  • Unlimited online learning excess
  • Easy to enroll in career-oriented courses
  • Affordable, high-quality certification courses
  • One-stop-shop for all the IT-related certification courses
  • On-demand lectures and focus on essential career skills

If you are looking forward to learning and mastering all of the Machine learning concepts & skills and getting a certification in the same field, do take a look at advanced and latest Machine Learning Certification offerings from Wissenhive.

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