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Machine Learning Courses, Certification & Training in Gurgaon

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What is Machine Learning?

Machine Learning is the applicable science of making computers work without being explicitly programmed. It is mainly an application of Artificial Intelligence (AI) that allows systems to learn and improve from experience, without any human intervention or assistance. Machine Learning algorithms help the systems to identify patterns in a given data, build self-explanatory models, and make predictions.
Simply put, machine learning can successfully perform any intellectual task that be performed by a human, such as learning, planning, decision-making, communicating, cracking jokes, manipulating people, and the most interesting of all, reprogramming itself. Mathematics, Logic, Probability, Linguistics, Neuroscience, and Decision Theory lay the foundation of Machine Learning. Whereas, fields like Computer Vision, Robotics, And Natural Language Processing have contributed to great innovations, in every aspect.
Machine Learning keeps on innovating every aspect of the business and has been shaping up the futures even more powerfully now and those who are still not able to understand its importance and utility make have to lag behind the others. Starting from housekeeping to new drug discovery, Machine Learning has revolutionized the way things were done earlier.

Machine Learning is a field of computer science, which uses statistical methods to inculcate a learning ability in computers with the help of data, without explicit programming. It has become a prominent area in data analytics where machines can provide accurate data predictions using historical data.

A certification course in machine learning helps you learn advanced skills to boost your career further in data analytics. Software Developers and Data Analysts can get skilled in machine learning to move to a more data critical position like a Data Scientist or a Machine Learning Engineer.

Naukri Learning offers a plethora of online certification courses in machine learning. You can enrol in other certification courses like data science, Qlikview, Tableau, business analytics and financial modelling for better job opportunities.

Benefits of Machine Learning Course

• It is useful in the analysis of real-time data which can help organisations to optimise their processes for better performance.
• Automation of data entry and cleansing can be done through machine learning to save on time and resources, otherwise wasted on those activities.
• It is easier to make accurate customer behavioural predictions through machine learning.
• It can be used to perform complex computational problems on large sets of data within a reasonable amount of time.

Popular Machine Learning Methods

# Supervised machine learning algorithms
# Unsupervised machine learning algorithms
# Semi-supervised machine learning algorithms
# Reinforcement machine learning algorithms
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Importance of Machine Learning Course

Machine Learning has done has been topping the charts of professionals for the past few years include –
# Booming market for data scientists and analysts, where the demands have jumped by approximately 450% over the last 5 years, creating more employment opportunities
# Draw attractive remuneration packages, ranging between Rs. 8 -15 Lac at mid-level. Senior profiles get to pay over Rs 50 Lac
# Job opportunities across different industries
# Contribution to decision-making in the company
# Better freelancing opportunities
# According to a Naukri survey, 67% of the recruiters mentioned on their JD that they prefer Machine Learning certified candidates and are also willing to pay higher.

Machine learning has huge potential across industries and is one of the biggest emerging technologies in the data analysis field. Some of the other reasons to take up a certification in machine learning are:

# It is an in-demand skill and organisations are looking for candidates who are proficient in machine learning.
# Based on a Naukri survey, 67% of the recruiters mentioned that they prefer certified candidates and are also willing to pay higher.
# You can earn above average salary in data analytics industry. Companies offer best-in-the-industry salary to professionals who have knowledge of machine learning.

Skills Required for Machine Learning Professionals

To succeed as a Machine Learning professional, the candidate should have the knowledge of -
# Programming languages (e.g. XML, Javascript or ETL frameworks)
# ML Programming Languages such as C/C++, R, Python, and SQL databases
# Statistical methods and packages
# Hadoop & MapReduce
# Application Programming Interfaces (API)
# Data warehousing and business intelligence platforms
# Database design
# Data mining, cleaning and munging
# Data visualization and reporting techniques
# Basic knowledge of distributed computing like Apache Hadoop and cloud services like AWS.
# Experience in any programming language like R, Python, Java or Scala.

Popular Machine Learning Courses

# Machine Learning A-Z™: Hands-On Python & R in Data Science by SuperDataScience
# Machine Learning Specialization by University of Washington
# Principles of Machine Learning by Microsoft
# Deep Learning Specialization by Nvidia
# Artificial Intelligence by Johns Hopkins University
# Artificial Intelligence Nanodegree by IBM
# Machine Learning from Stanford
# Learning from Data from Caltech
# Practical Machine Learning from Johns Hopkins University
# Deep Learning Specialization from Coursera

How to Choose the Right Machine Learning Course?

# Does the course provide a foundational understanding of machine learning?
# Is the course certified?
# Are the algorithms explained well and are explanations provided, wherever required?

Popular Machine Learning Course Providers

# Eduonix
# Quickstart
# Simplilearn
# Intellipaat
# Nulearn
# upGrad
# Amity Online University
# Manipal Prolearn

Relevant Questions
# What is the difference between Machine Learning and Big Data Analytics?
# What are the differences between Data Science, Big Data and Data Analytics?
# What Is Machine Learning And Why You Should Get A Certification?

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Who should Learn Machine Learning?

• Engineering/MBA/Science Graduates
Data Analysts
• Software Engineers/Software Developers

Career Outcomes

  • Machine Learning Career Path

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    Career Opportunities for Machine
    Learning Professionals

    With a certification in machine learning, one can expect a career in one of the four areas outlined below:

    # Data Scientist
    # Data Architecture
    # Machine Learning Engineer

    Career Opportunities for Machine Learning Professionals

    # Artificial Intelligence/ Machine Learning Lead
    # AI and Machine Learning Expert
    # Data Scientist - Machine Learning/Artificial Intelligence
    # Data Scientist - Machine Learning Model
    # Artificial Intelligence/Machine Learning Developer
    # Machine Learning Engineer
    # Data Scientist - AI
    # Speech Scientist - Artificial Intelligence/Machine Learning
    # Analyst - Machine Learning - R/Python
    # Data Scientist - Computer Vision/Deep Learning
    # Lead - Applied ML
    # Big Data Engineer
    # Data Scientist - BFS
    # Data Scientist - Natural Language Processing (NLP)
    # Data Scientist - FinTech Analytics
    # Senior Machine Learning Engineer
    # Image Processing + Machine Learning Engineer
    # Machine Learning-Lead
    # Machine Learning Engineer - Python
    # Assistant Director - Machine Learning Architect
    # Researcher – Machine Learning for Intelligent Systems
    # Machine Learning Researcher
    # Manager - Data Science
    # Artificial Intelligence Consultant
    # Head - Data Science & Credit Risk
    # Data Scientist - R/Python
    # Senior Data Scientist
    # Data Science Manager
    # Machine Learning Manager
    # Data Scientist - AI Resource
    # Technical Machine Learning Developer
    # Machine Learning Applied Research Scientist
    # AI Scientist – Deep Learning
    # Machine Learning Engineer - MapReduce/Hadoop
    # Customer Value Analyst - Data Science
    # Speech Scientist - Artificial Intelligence
    # Artificial Intelligence Consultant
    # Product Development Engineer - Machine Learning/Deep Learning
    # Data Scientist NLP Data Mining
    # Machine Learning Engineer
    # AI Engineer
    # Machine Learning Engineer - Java/Python

    How to Become a Machine Learning Professional?

    To become a machine learning professional/data scientist, you would need to have a hands-on experience and practical exposure towards industry level problems, apart from having courses and certifications.

    No Prior Knowledge
    # Brush up your basic concepts of Math and Statistics and learn basic calculus like functions, limits, differentiation, maxima, minima, etc.
    # Pursue internship with any Machine Learning firm
    # Find good courses that teach Statistics, Probability, and Linear Algebra
    # Have a knowledge of optimization
    # Be aware of the basics of Natural Language Processing, Information Extraction, Computer Vision, Bioinformatics, Speech Processing etc.
    # Learn about Optimization, Calculus, Information Theory and Decision Theory
    # Take up any online Machine Learning course covering the basics

    Basic Knowledge
    # Develop the required skills in statistics, computers and analysis techniques to process and analyze complex data sets
    # Learn Linear Algebra as matrices, vectors, Eigenvalues and Eigenvectors are the essential elements of Machine Learning
    # Learn to make smart decisions based on your data findings
    # Study Pattern Recognition
    # Develop a creative and analytical approach towards data sorting and processing
    # Learn about data structures, database design, data mining, etc.
    # Practice machine learning problems on Kaggle, which is a popular Machine Learning contest platform, allowing you to compete with people of same interest

    Intermediate Knowledge
    # Learn about distributed architecture, security applications, and applied systems analysis
    # Have a good command over programming languages like Python (suited for both beginner and advanced levels), R, Matlab, Julia and C++
    # Learn Multivariable Calculus, Numerical Linear Algebra, Computational Linear Algebra, Matrix Algebra and Probability
    # Explore Optimization, Information Theory and Decision Theory
    # Take up machine learning projects to strengthen your resume
    # Take up any relevant Machine Learning course

    Advanced Knowledge
    # Take up a project management course or an MBA in Machine Learning
    # Obtain any professional certification like SAS/SQL certified practitioner qualification, or on any specific software used by companies
    # Try working for where you can manage databases, analyze data, or design the databases

    You should be a B.Tech. in Computer Science/MCA to work as a Machine Learning professional. Besides, you should have excellent math, statistics, and basic programming knowledge.
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Related Career Options

Big Data Developer

Big data developers are proficient in core scripting languages and responsible for the actual coding or programming of big data applications. They dea...

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Big Data Architect

A Big data architect is trained to describe the structure of a big data solution. He/she is responsible for planning next generation big data systems ...

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Hadoop Administrator

A Hadoop administrator is someone who manages and administers Hadoop clusters and all other resources in the entire Hadoop ecosystem. He/she is respon...

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Data Scientist

Data scientists are professionals who are responsible for extracting insights or knowledge from data (both structured and unstructured) in various for...

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  1. Machine Learning with Python Training

    Machine Learning with Python course discusses concepts of the Python language such as file operations, sequences, object-oriented concepts, etc. along with some of the most commonly leveraged Python libraries like Numpy, Pandas, Matplotlib, etc. The course will then move on to introduce learners to the detailed mechanisms of Machine Learning. Learners will understand in detail the significance of the implementation of Machine Learning in the Python programming language, and leverage this knowledge in their role as data scientists. | After completing the course, one would have learnt about tools to train machines based on real-world situations using Machine Learning algorithms, as well as to create complex algorithms based on concepts related to deep learning and neural networks. During the latter stage of the course, learners will be introduced to real-world use cases of Machine Learning with Python for a holistic learning experience which would prepare them to create applications efficiently.

    Online ClassroomIntermediate
    $ 407 Enquire Now

    Machine Learning , Operations

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