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Machine Learning Courses, Certification & Training by Eduonix

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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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Course Level

Mode of learning

  1. Learn Machine Learning By Building Projects

    The course focuses on breaking down the important concepts, algorithms, and functions of Machine Learning. The course starts at the very beginning with the building blocks of Machine Learning and then progresses onto more complicated concepts. Each project adds to the complexity of the concepts covered in the project before it.

    Online self studyIntermediate
    $ 90 Take this Course

    Machine Learning ,

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  2. Applied Machine Learning With R

    Applied Machine Learning with R is a hands-on course Machine Learning and Artificial Intelligence course. This course covers the core concepts of machine learning, along with machine learning algorithms. You will also learn how to implement those machine learning algorithms with R and after completion of the course, you will be able to use them in your own projects.

    Online self studyIntermediate
    $ 49 Take this Course

    Machine Learning ,

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  3. Machine Learning In The Cloud With Azure Machine Learning

    In this course, we will discuss Azure Machine Learning in detail. You will learn what features it provides and how it is used. We will explore how to process some real-world datasets and find some patterns in that dataset.This course teaches you how to design, deploy, configure and manage your machine learning models with Azure Machine Learning. The course will start with an introduction to the Azure ML toolset and features provided by it and then dive deeper into building some machine learning models based on some real-world problems

    Online self studyIntermediate
    $ 49 Take this Course

    Machine Learning , Manage ,

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  4. Unity Machine Learning with Python!

    In this course we will train an artificial brain to make the game work. No matter where the present falls, the computer will know exactly how get it.

    Online self studyIntermediate
    $ 49 Take this Course

    Machine Learning ,

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  5. Machine Learning With TensorFlow The Practical Guide

    This course gives an insight into the basics of Tensorflow covering topics like tensors, operators and variables. It is a good option to master machine learning, its types and various main algorithms including linear regression. Furthermore, this course also covers advanced machine learning like a neural network, convolution neural network and others. Here, you’ll also gain the practice by implementing it in a project on Deep Neural Network. | Machine Learning With TensorFlow is a professional programme. It provides a complete insight of Tensorflow, tensors, operators and variables. Machine Learning With TensorFlow also includes other topics like – Getting started with Tensorflow, Tensorflow Basics, Machine Learning Basics, Main Algorithms including linear regression, Advanced Machine Learning

    Online self studyIntermediate
    $ 49 Take this Course

    Machine Learning ,

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  6. Clustering & Classification With Machine Learning in Python

    This course covers main aspect of practical data science and if you take this course, you can do away with taking other courses or buying books on Python based data science.This course will give you a robust grounding in the main aspects of machine learning- clustering & classification.

    Online self studyIntermediate
    $ 49 Take this Course

    Data Science , Machine Learning , , Software Tools

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  7. The Deep Learning Masterclass: Classify Images with Keras!

    The Deep Learning Masterclass: Classify Images with Keras is an interactive course that is designed to help a beginner turn into a data modeler. The course starts with basic concepts of Keras and goes to the advanced concepts of machine learning and neural networks. The participants will also get to build their image classifier model from scratch.

    Online self studyIntermediate
    $ 39 Take this Course

    Machine Learning , , Operations

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  8. Mathematical Foundation For Machine Learning and AI

    Learn Machine Learning By Building Projects is a comprehensive programme. This programme helps you to understand the complex concepts of machine learning through mathematics and algorithms. This course will give you a deeper knowledge of mathematics that will help you to build algorithms and networks for your upcoming machine learning and artificial intelligence (AI) projects. The course is divided into three sections, including – | Linear Algebra: This helps to describe the parameters and structure of different machine learning algorithms. Linear Algebra also gives an insight of how neural networks should be put together and operate. | Multivariate Calculus: This helps in learning the subject in an easier manner with the help of examples and parameters of different models for better performance. | Probability Theory: This topic covers key probability distributions, useful in designing deep learning or AI algorithms. | The course also includes some projects and quizzes, which help to understand the mathematical concepts better. The mode of learning is online self-study.

    Online self studyIntermediate
    $ 39 Take this Course

    Machine Learning ,

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner
  9. Practical Deep Learning with Keras and Python

    This course is for you if you are new to Machine Learning but want to learn it without all the math. This course is also for you if you have had a machine learning course but could never figure out how to use it to solve your own problems.

    Online self studyIntermediate
    $ 29 Take this Course

    Machine Learning ,

    Locations: Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam

    Course Selling Partner

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