Machine Learning Training

Learn Machine Learning Online Training in GangBoard with World's top-ranked faculties hands-on project training. Get ready for the Industry from day 1 itself. Machine learning online Training is conducted and trained by industry experts. Our Machine Learning online Training will provide you hands-on exposure. Machine learning experts will provide you the valuable career support. Join in Machine learning online training and became a machine learning certified expert.
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About Course

Each day there are technological advancements happening around the globe. Machines are becoming much smarter and intuitive, thanks to the development in the fields of Machine learning and Artificial Intelligence. We are surrounded by specimens that display the outcome of the machine learning process. This proves that the demand for ML professionals is huge. This Machine Learning Online Course is hence designed to understand and implement the latest machine learning techniques. You will be offered an ample amount of practice in the sector with Machine Learning Certification Online Training so that you land your dream career as an ML professional in no time.

With GangBoard’s specially designed Machine Learning Online Training course, we aim to make you a desired candidate for all the companies looking for ML professionals. The basic objective that this Machine Learning Online Course aims to cover are as follows:

  • Basics of Machine learning and its concepts
  • Probability notion basics
  • Bayesian Inference
  • Understanding of nearest neighbor algorithm, logistic regression, and reduction of dimensionality
  • A comprehensive study of Kernel techniques, Elimination of density, and Ensemble methods
  • An introductory course on reinforcement learning methods and learning theory elements.

A certificate course in Machine Learning ensures that you understand the topics and it helps you stand out. That being said, machine learning is a very important subset of Artificial Intelligence development and many countries are conducting its own researches. As we move forward in time, it only seems appropriate that the demand for efficient Machine Learning professionals will increase. If you are someone interested in this field, then you should certainly pursue the Machine Learning Online Training course.

At Gangboard, the Machine learning certification course is shaped to extend your limits in the field, irrespective of the job or education you have.

  • Computer Science freshers and graduates looking for a job in the IT industry
  • Students who are looking to learn Machine learning techniques
  • IT Professionals and Architects
  • Trained Business Analytics employees
  • Data Science aspirants

The above-mentioned candidates can surely go for our Machine Learning Online Course and get the certificate.

As mentioned earlier a certificate is the proof of your credibility. And if you want to excel and become a successful ML professional it is imperative that you get an appropriate certificate. The certificate will not only determine the type of specialization you are doing but also increase the chances of landing the desired job. You can be assured that you will receive a boost in your salary after completing the Machine Learning Online Training course. Hence a machine learning certification training will help your career in all kinds of ways.

There aren’t any prerequisites as such to study Machine Learning Online Course. However, to complete the exercises and follow some of the teachings you will have to have a keen understanding of high school mathematics. This includes familiarity with linear equations, variables and coefficients, and advanced concepts such as logarithms. Most of the programming exercises associated with Machine learning will ask you to be thorough with Python programming language. Other than these, there are no other requirements for our Machine Learning Online Training program.

After going through our Machine Learning Online Course, you will have all the skills required to become a Machine Learning professional. You will have technical skills regarding the basics such as logistic regression and Artificial neural network. You will be able to apply ML Algorithms and understand Data modeling and their evaluation. These skills will help you stand out throughout your career and help in your growth and development as a successful employee.Given below are the list of some basic skills you will have after completion of our Machine Learning Online Course:

  • Unsupervised Learning
  • Deep Learning
  • Reinforcement Learning
  • Machine Learning
  • Supervised Learning

Yes, you do need some programming skills to become a successful ML professional. You have to understand that machine learning software are designed to look through data automatically for patterns and then adjust them accordingly. This takes a fair amount of programming using programming languages such as Python, R, and Java. You will be trained all of these in our Machine Learning Online Training curriculum.

Following are the essential features of GangBoard’s Machine Learning Online Training:

  • 365-day access to GangBoard’s Learning Management System(LMS) with Machine Learning Online Course.
  • Hands on training from live instructors with this Machine Learning Online Training.
  • Support and Real time Training for Machine Learning Certification Online Courses.
  • 24/7 support with Live Classroom Training.
  • This Machine Learning Online Course covers all the essentials and placement training to get hired at prominent IT companies.
  • GangBoard Training institute’s Machine Learning Online Training also provides project support for students.
  • Job support following the completion of Machine Learning Online Course.

Introduction to Machine Learning

Machine Learning is a subset of the broad spectrum - Artificial Intelligence. It is an idea to make a machine learn from a database. Machine learning techniques are classified into Supervised, unsupervised and reinforced and semi-reinforced training. These techniques depend upon the type of data and requirement of the software. Machine learning is an important concept in computer science and has a lot of scope in the future.

Machine learning is a science dedicated to working automatically without having to program them every time. The software designed implementing Machine learning techniques refers to data used in the past to detect trends and patterns. These patterns open up a course of action for the software to take. Some examples of machine learning include speech recognition and self-driving vehicles.

There are a lot of applications for machine learning techniques. We are constantly surrounded by software run on the same concept. Some of the everyday software where we come across its implementation are mentioned below:

  • Prediction of weather
  • Facial recognition
  • Email Filtering
  • Smile detection
  • Traffic predictions
  • Several social media services such as suggesting friends and followers
  • Browser filtering for personalized advertisements
  • Driverless cars
  • Robotics

Nevertheless, there are a plethora of applications of machine learning techniques other than those mentioned above.

The basic difference between Machine Learning and Deep Learning are mentioned below in the form of a table.

 S.No

Parameters

Machine Learning

Deep Learning

1.

Significance

Subset of AI

Subset of ML

2.

Working

Uses automated Algorithms

Interprets data features

3.

Management

Directed by Analysts

Self-directed

4.

Data Points

Thousands of data points

Millions of data points

5.

Output

Usually a numerical value

Can be anything

The difference in parameters of Artificial Intelligence and Machine Learning are stated below:

S.No

Parameters

Artificial Intelligence

Machine Learning

1.

Aim

To extend the probability of success

Extend accuracy, regardless of success

2.

Working

Works as a worm

It takes knowledge and learns from it

3.

Goals

Resolve advanced problems

Maximize performance

4.

Cognitive Capability

Higher

Good

5.

Perception

Can choose the best answer

Chooses answer regardless of its quality

6.

Results

Intelligent and knowledge-based models

Data based models

Sure, there are a lot of open source Machine learning projects available on the internet. You could choose to follow websites that post updates about such projects. Once you learn the techniques, you can explore the projects and contribute your workings in making them successful. You can learn more about them on Tensorflow which is an open source library for machine learning developed by Google.

An organization or company is successful if it makes a profit. There are several ways to achieve this, one of which is analyzing past data and learning from them to make smart choices. This means you need software that can automate models scanning a large collection of complex data. This is where Machine Learning’s importance comes into perspective. The systems integrated with machine learning tend to be a very profitable investment. Also, a lot of dedicated services are associated with Machine Learning implementation. Hence it is a very important concept.
To know the Top 10 Machine Learning Algorithm refer this Blog.

Machine Learning Online Training Syllabus

Module 1- Introduction to Data Analytics
Objectives:
  • This module introduces you to some of the important keywords in R like Business Intelligence, Business Analytics, Data and Information.
  • You can also learn how R can play an important role in solving complex analytical problems.
  • This module tells you what is R and how it is used by the giants like Google, Facebook, etc.
  • Also, you will learn use of 'R' in the industry, this module also helps you compare R with other software in analytics, install R and its packages.
Topics
  • Business Analytics, Data, Information
  • Understanding Business Analytics and R
  • Compare R with other software in analytics
  • Install R
  • Perform basic operations in R using command line
  • Learn the use of IDE R Studio
  • Use the ‘R help’ feature in R
Module 2- Introduction to R programming
Objectives:
  • This module starts from the basics of R programming like datatypes and functions.
  • In this module, we present a scenario and let you think about the options to resolve it, such as which datatype should one to store the variable or which R function that can help you in this scenario.
  • You will also learn how to apply the 'join' function in SQL.
Topics
  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind, Rbind, attach and detach functions in R
  • Factors
Module 3- Data Manipulation in R
Objectives:
  • In this module, we start with a sample of a dirty data set and perform Data Cleaning on it, resulting in a data set, which is ready for any analysis.
  • Thus using and exploring the popular functions required to clean data in R.
Topics
  • Data sorting
  • Find and remove duplicates record
  • Cleaning data
  • Recoding data
  • Merging data
  • Slicing of Data
  • Merging Data
  • Apply functions
Module 4- Data Import techniques in
Objectives:
  • This module tells you about the versatility and robustness of R which can take-up data in a variety of formats, be it from a csv file to the data scraped from a website.
  • This module teaches you various data importing techniques in R.
Topics
  • Reading Data
  • Writing Data
  • Basic SQL queries in R
  • Web Scraping
Module 5- Exploratory data Analysis
Objectives:
  • In this module, you will learn that exploratory data analysis is an important step in the analysis.
  • EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis. You will also learn about the various tasks involved in a typical EDA process.
Topics
  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing Graphs
Module 6- Basics of Statistics & Linear & Logistic Regression
 
Objectives:
  • This module touches the base of Descriptive and Inferential Statistics and Probabilities & 'Regression Techniques’.
  • Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.
Topics
  • Basics of Statistics
  • Inferencial statistics
  • Probability
  • Hypothesis
  • Standard deviation
  • Outliers
  • Correlation
  • Linear & Logistic Regression
Module 7- Data Mining: Clustering techniques, Regression & Classification
 
Objectives:
  • Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.
  • The two Machine Learning types are Supervised Learning and Unsupervised Learning and the difference between the two types.
  • We will also discuss the process involved in 'K-means Clustering', the various statistical measures you need to know to implement it in this module.
Topics
  • Introduction to Data Mining
  • Understanding Machine Learning
  • Supervised and Unsupervised Machine Learning Algorithms
  • K- means clustering
Module 8- Anova & Sentiment Analysis
Objectives:
  • This module tells you about the Analysis of Variance (Anova) Technique.
  • The algorithm and various aspects of Anova have been discussed in this module
  • Additionally, this module also deals with Sentiment Analysis and how we can fetch, extract and mine live data from Twitter to find out the sentiment of the tweets.
Topics
  • Anova
  • Sentiment Analysis
Module 9- Data Mining: Decision Trees and Random Forest
Objectives:
  • This module covers the concepts of Decision Trees and Random Forest.
  • The algorithm of Random Forests is discussed in a step-wise approach and explained with real-life examples.
Topics
  • Decision Tree
  • Concepts of Random Forest
  • Working of Random Forest
  • Features of Random Forest
Module 10- Project work
  • 2 Real-time projects
 

Upcoming Batches

Start Date End Date Time (EST) ( UTC -5) Day
30 Aug 2019 28 Sep 2019 (09:30 PM - 12:00 AM) Fri,Sat
31 Aug 2019 28 Sep 2019 (09:30 AM - 12:00 PM) Sat,Sun

Machine Learning Exams and Certifications

There are a number of exams and certifications courses regarding several Machine Learning Online Course available on the Web. The credibility of these certificates is questionable if they come from unknown sources. Over GangBoard, we help you train yourselves to take part in any of the certification exams of your choice. Microsoft’s machine learning certificate is one of the most favored certifications and we advise you to take this one. The details of which are given below:

Microsoft MCSA: Machine Learning

Consists of two exams

  • No prerequisites
  • Credential: Microsoft Certified Professional

More information regarding the certification and how you can conquer it, will be provided in GangBoard’s Online Machine Learning Training.

A machine learning certification validates that you are informed about the latest developments in the field and that you are capable of working with software to implement the Machine learning techniques. These Machine Learning Certification Online Courses are designed by institutes such as Microsoft to test participants at several levels depending upon the specialization they choose.

Absolutely! Our Machine Learning Certification Online Training material is designed keeping in focus the exam pattern and the procedure. Our aim is to train you in such a way that will allow you to attend all levels and variations of Machine learning certification examinations. These Job oriented training courses are of the utmost value to us.

With Microsoft, there is just the MCSA Machine Learning certification available. For all the different types of Machine learning implementation techniques, the examination is common. These techniques include supervised training, unsupervised training, reinforced training, and semi reinforced training, which you’ll get trained for in GangBoard’s Machine Learning Online Course.

Microsoft’s MCSA: Machine Learning certificate is the best certificate looking at the credibility. Our instructors help you understand and revise all the basic concepts regarding the Microsoft Machine Learning Certification. The MCSA Machine Learning certificate authenticates your expertise in operating Microsoft’s Azure Machine Learning. You will be a certified professional who knows how to run Big Data R with both SQL/R services and R servers.

All the details regarding the Machine Learning exam conducted by Microsoft are displayed below. Make sure you go through all of these and decide if you are in a situation to attend exam or not.

 S.No

Certification

MCSA: Machine Learning

1.

Name of Exams

(i) Perform Cloud Data Science with Azure Machine Learning, (ii) Analyzing Big Data with Microsoft R

2.

Exam Codes

(i) 70-774, (ii) 70-773

3.

No. of Questions

40

4.

Exam Duration

120 minutes

5.

Exam Format

Multiple Choice Questions

6.

Passing Marks

700 points out of 1000 points

7.

Language of Exam

English, French, Chinese, German, Japanese, Portuguese

Once you enroll for Machine Learning Online Training with GangBoard, you will learn in detail about all the above aspects.

For Microsoft’s MCSA: Machine Learning certification program, exam of “Perform Cloud Data Science with Azure Machine Learning” costs around 165 USD and “Analyzing Big Data with Microsoft R” will cost you the same. If you are a participant from India then according to the official Microsoft site,both the certification exam will cost you Rs. 4800. These rates may change therefore it is advised that you confirm with the site before enrolling for the certificate program.

The passing score for both the Microsoft Azure Machine Learning and Analyzing Big Data with Microsoft R exam is 70%. There are a total of 40 questions that totals up to a 1000 grade points, hence the minimum passing marks would be 700 points out of the 1000 grade points. The exam is conducted online at several authorized centers around a country and the exam lasts for 2 hours.You can opt to take the Multiple choice test in 6 different languages which are displayed in the above table.

You get a lifetime validity with the MCSA certification program from Microsoft. But Machine learning is an evolving subject and new developments are made every year. Hence, even if you have a so-called permanent certification, it is advised that you update your knowledge regarding the recent developments and keep yourself in tune with the technological innovations happening in the field with the help of Machine Learning Online Training.

There is no expiration for Microsoft’s MCSA certification as such. But as mentioned earlier, if you are not up to date with recent developments and innovations in the Machine learning field, then the certificate becomes obsolete. An ML professional is expected to follow the industry closely and implement changes if necessary. So even if your certificate does not expire, the value surely will if not updated.

A Machine Learning professional makes anywhere between 75,000 USD to 150,000 USD. It is a high paying job and companies are willing to shell out cash for quality ML engineers. The demand is huge as most of the companies rely on a huge complex amount of data to make profits. In India, you could receive on an average 50,000 rupees every month, which is a lot compared to other IT jobs.

Your aim is to pass the MCSA certification test and that will require some serious preparation. Hands-On experience on the software is a must as most of the questions are practically based. Follow closely all our Machine Learning Online Course, take all the practice tests you can and stay confident in your approach. If you need, you can go to the official Microsoft website and search for the test and look for how the skills are measured. Then concentrate on developing all the skills one by one with the help of our instructors. By the end of our Machine Learning Online Course, you will certainly be trained to pass the exam with flying colors.

Microsoft has rather simple policies for exam retake and this applies for all the exams conducted by Microsoft including the Perform Cloud Data Science with Azure Machine Learning certification exam and Analyzing Big Data with Microsoft R exam. Let's look at some of the possible cancellation scenarios:

  • If you are unable to take the exam on the scheduled exam date, all of your money is forfeited and you have to start the registration again.
  • If you reschedule your exam 6 business days prior to the scheduled date no cancellation fees will be applied.
  • If you reschedule in 5 days then a cancellation fee is charged.

These were the cancellation or rescheduling scenarios, take a look at what happens if you fail the exam.

  • You have to wait at least 24 hours if you didn’t clear the examination in the first attempt to register again and of course, you have to pay the whole fees.
  • You have to wait for 14 days if you do not clear the exam after the second attempt.
  • The 14-day waiting policy follows for the third, fourth and fifth attempt. After which he or she has to wait for 12 months to retake the exam.
  • You cannot retake an exam if you already passed it. However, you can retake the same exam if Microsoft updated the test and included new changes.

You need to have a Microsoft account to register for the examination. Once you have the account you can apply for the certification program from the official website and choose from a list of dates to schedule your exam. You can pay the fees using Netbanking, Credit card or debit card options and get a confirmation letter on your email account along with the center and examination details. Do not worry if you have any issues with the procedure, you will be guided to schedule the exam at GangBoard under the supervision of experienced instructors.

Placement Assistance after Machine Learning Training

GangBoard offers job assistance to all the students following the completion of Machine Learning Online Course. Need not mention, we provide our students with the Placement Oriented Training to make them capable of cracking intense interviews following the Machine Learning Online Training. Firstly, we assist our students to identify their skill set. Finding their skills and capabilities, we schedule interviews for our candidates, thanks to our deep industrial connections. Moreover, we make sure that all the students find a suitable job and step ahead to a promising career. Moreover, Machine Learning Certification Online Training covers all the essential topics that one needs to crack a machine learning job interview.

Machine Learning Job Opportunities

Machine Learning Certification Online Courses offer many promising careers due to current technological trends. And without a doubt, the industry is surging at a remarkable pace creating job opportunities like the following:

  • Machine Learning Scientist
  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer/Developer
  • Computational Linguist
  • Machine Learning Researcher
  • Research Scientist
  • Software Engineer/Developer
  • Human-Centered Machine Learning Designer

Following the completion of Machine Learning Online Training with GangBoard, the students will be able to find a suitable job in the Data Science field as Machine Learning is an inseparable part of Data Science only. The opportunities vary from being a full-fledged Data Scientist to a Human-Centered Machine Learning Designer but not being limited to data science, one can also become a software developer that designs and develops artificial learning systems and algorithms. Please refer the above question for more insight into job opportunities after Machine Learning Online Course.

As mentioned earlier, a Machine Learning Professional equipped with vital Machine Learning Certification Online Courses can easily earn between $75,000 to $150,000, the average pay being $110,000. Looking at the data, one can effortlessly determine that Machine Learning is a promising field and allows a professional to earn more than other IT fields.

The median salary of an entry-level Machine Learning Certified Professional, depending upon the job role, industry, and employer can be near $110,000. However, being a demanding field, the salary may rise astronomically on the basis of experience and promotions. Need not mention that the Artificial Intelligence sector is rising exponentially and the average salary can be expected to be a lot more in upcoming years.

If you are equipped with all the essential knowledge and Machine Learning Certification Online Training that the job requires, it is effortless to get a job in Machine Learning. Looking at the data obtained in the past few years, the industrial demand for Machine Learning Professionals is on peak and is continually increasing. All the industries along with IT, are in need of professional with expertise in the ML field. Therefore, it won’t be tough to get a job following GangBoard’s Machine Learning Online Course.

While Machine Learning is technically a subset of Artificial Intelligence, it is more specific. Artificial Intelligence refers to building systems that are intelligent and can act on their own. On the other hand, Machine Learning is based on the idea to build machines that can analyze large datasets and learn on their own. Concluding, both fields are surging almost equally, however, in our opinion, one should opt for Machine Learning if they don’t have a clear preference.

There are many innovative companies like Amazon, Apple, Google, Facebook, Uber that aim for innovation and constantly look for Machine Learning Experts. Having said that, reportedly, Uber has been working to build self-driving cars and similar work related to ML and AI has been going on in giant IT companies. Therefore, one may look forward to working with such companies following this Machine Learning Online Course.

Machine Learning has been revolutionizing almost all the industries rapidly. In the past few years, this multidisciplinary subject has been incorporated in many big industries. Now, in order to take a leap to Machine Learning from your existing career, we suggest you to register for this Machine Learning Online Course and get a professional certification, which will be enough for the shift.

Machine Learning Training Reviews

FAQ

Unlike all the other Machine Learning Certification Online Courses on the web, GangBoard’s Machine Learning Online Training is unique on its own terms. GangBoard does not only provide its students with the latest technological knowledge and live online training but also gives them job assistance and project support. GangBoard’s highly professional team of Machine Learning experts is 24/7 ready to solve your doubts and make sure that you find a promising job by the completion of Machine Learning Online Course. Therefore, you must go with GangBoard’s Machine Learning Certification Online Training in order to succeed in your future endeavors.

Detailed installation of required software will be displayed in your LMS. Our support team will help you to setup software if you need assistance. Hardware requirements need to be fulfilled by participants.

No worries. It might happen. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. And if required you can even attend that topic if any other live batches.

Top-notch professionals in that field who understands how to convey things in technical as well as subject matter experts.

We offer this course in “Live Instructor-Led Online Training” mode. Through this way you won’t mess anything in your real-life schedule. You will be shared with live meeting access while your session starts.

You can get a sample class recording to ensure you are in right place. We ensure you will be getting complete worth of your money by assigning a best instructor in that technology.

We are absolutely loved to talk in-person about group training (or) corporate training. So, please get in touch with our team through “Quick Enquiry”, “Live Chat” or “Request Call-back” channels.

Payments can be made using any of the following options and a receipt of the same will be issued to you automatically via email.

  1. Visa Debit Card / Credit Card
  2. American Express
  3. Master Card, Or
  4. PayPal

You can reach us through +91-9791273737 / +91-9791237373. Or you can share your quires through enq@gangboard.com. Estimated turnaround time will be 24 hours for emails.

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