4.8 (1,267) reviews 60,000
48,371*
NO COST EMI : 8,062 p.m for 6 Months
*Offer valid till 24th November 2024
Instructor Led Live Online
Self Learning + Live Mentoring
In - Person Classroom Training
The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
The following topics are covered in "Machine Learning"
Foundation:
Machine Learning Introduction: Supervised and Unsupervised Learning
Multiple Linear Regression
Decision Tree:
Naive Bayes:
Support Vector Machines:
Association Rule:
Expert:
Neural Net:
Random Forest:
Recommendation Engine:
Dimension Reduction:
Machine Learning (ML) is a different approach where computer learns the rules of solving complex problems without explicitly programmed. Machine Learning algorithms are at the core and important piece of data science.
Machine Learning Expert Course is designed in accordance with IABAC™ (International Association of Business Analytics Certifications) to provide a theory and application of popular Machine Learning algorithms in Supervised, Unsupervised and Deep Learning. Major algorithm are discussed in more details about how they work and apply these algorithms with realworld data.
Finally, we create ML models with Python Scikit-Learn package in solving business problems and case studies. This will give you a complete knowledge on Machine Learning algorithm, how they work, how to optimize, advantages and disadvantages of each algorithm along with practical application.
In recent years, Machine Learning has taken over a mainstream business and evolved has a career track by itself. A quick search in job portals reveals about 20,000 Machine Learning job opportunities on a daily basis in the USA alone. This course provides you with practical knowledge in Machine Learning on choosing ML algorithms to optimization Machine Learning models, which enables to deliver data science projects effectively.
This course is an expert level course and candidate seriously pursuing a career in Data Science can opt.
This course provides an expert level knowledge in Machine Learning opening a world of opportunities in the domain of Data Science, Artificial Intelligence, Robots, etc. This course enables candidates to further master the topic with various real-world project available in crowd sourced platforms such as Kaggle. As a part of the course, a certification assessment is conducted and candidate achieving minimum qualifying score receive a global certification, carrying immense value of the testimony of Expert Level ML knowledge.
At DataMites™, we truly believe and very excited about this big wave of Data Science. DataMites™ work with globally renowned Machine Learning experts in designing as well delivering a training course. There are millions of jobs and business opportunities in Data Science across the globe as of today and this is only going to increase exponentially in coming years.
DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is to enable data science professionals with strong data science skills aligned to market requirements and be a part of this phenomenal Data Science era.
The city of Bangalore is the most exciting place for Machine Learning career seekers as Bangalore ranks in top 10 cities in the world for Machine Learning, Artificial Intelligence and Big Data skills demand.
MNCs such as JP Morgan Chase, Robert Bose, Amazon, who are leading Machine Learning industry adoption, are building Machine Learning resource pool in Bangalore.
Organisations such as Infosys, Accenture, Wipro, Capgemini, TCS, etc, who are major global IT solutions providers are aiming at upscaling their Machine Learning Centre of Excellence, thereby hiring Machine Learning resources in thousands, contributing to significant demand in the market.
Undeniably, Bangalore is the best place for Machine Learning Job Opportunities in India for beginners as well as experience and experts in the field of Machine Learning.
Since 2017, LinkedIn jobs in Bangalore location have 2000 active jobs in a day on an average for Machine Learning. In addition, Bangalore has the highest Machine Learning start-ups, with 5-10 new companies being registered monthly.
The growth rate in Bangalore Machine Learning Job opportunities is projected at 50% to 80% in the year 2019.
Machine Learning Operations (MLOps) is an acronym for Machine Learning Operations. MLOps is a basic component of Machine Learning engineering that focuses on optimizing the process of deploying machine learning models, as well as maintaining and monitoring them.
Machine learning is a subset of artificial intelligence that describes a machine's ability to imitate intelligent human behavior.
Anyone interested in learning Machine Learning, whether a newbie or a seasoned veteran, can enroll. Those who want to get into data analytics or build a profession out of it should take the course.
Depending on the course level and type of training you choose, the cost of machine learning training in the US could range from 162.24 USD to 773.94 USD. The machine learning training fee in Europe can vary from 152.01 euros to 725.12 euros. The machine learning training fee in India might range from 12,578 INR to 60,000 INR, depending on the course level and form of training you choose.
Machine learning is a big discipline in and of itself, thus candidates should expect to spend roughly 6 months getting proper training in the subject. It may take longer if the person has no prior experience in computer programming, data science, or statistics.
Courses in machine learning might run anywhere from six to eighteen months. However, the curriculum varies based on the degree or certification you pursue. 6-month courses can provide you with a significant machine learning experience, which could lead to entry-level positions at top firms.
Suppose you want to work in the industry. In that case, the machine learning expert course is the one to take because it qualifies you as an expert in the fields of machine learning, artificial intelligence, and data science by teaching you how to program in the most popular programming languages, such as Python.
Machine learning, data science, artificial intelligence, and related courses are taught at DataMites. DataMites collaborates with world-renowned Machine Learning professionals to create and deliver a training course.
Machine Learning will benefit from abilities such as applied mathematics, computer science basics, communication skills, NLP, Neural Networks, and problem-solving.
The national average Machine Learning Engineer salary in the United States is USD $1,31,001 per year. (Glassdoor.com)
The national average Machine Learning Engineer Salary in Germany, and Europe is €64,862 per annum. (Payscale.com)
The national average Machine Learning Engineer Salary in India is INR 8,91,424 per year. (Glassdoor.com)
To function, all businesses rely on data. Machine learning has the ability to dig up the value of corporate and consumer data, enabling businesses to make better decisions and stay ahead of the competition.
Machine Learning has now surpassed almost every business on the earth. There isn't a single industry that doesn't rely on data these days. Machine Learning (ML) has a wide range of applications. It will expand in the near future to include medical, finance, social media, facial and voice recognition, online fraud detection, and biometrics. According to 360 Research Reports, the machine-learning market was worth $1.41 billion in 2020 and is predicted to reach $8.81 billion by 2025.
Artificial intelligence (AI) is an area of computer science whose goal is to develop a computer system that can think like a person. It's created out of the phrases "artificial" and "intelligence," which mean "human-made thinking ability" when put together. Machine learning is a type of artificial intelligence, in which artificial intelligence refers to the overall appearance of intelligence, while machine learning refers to the process of machines ingesting data and learning things about the world that humans find difficult.
Python is superior to R since it may be utilized for a variety of applications. It has improved scalability, performance, and integration, among other things. R, on the other hand, is a better choice for data analysis and visualization.
Data science is a field of study that uses a scientific method to extract meaning and insights from data. On the other hand, machine learning refers to a collection of data science techniques that allow computers to learn from data.
It is a type of Artificial Intelligence that allows program applications to predict outcomes with extreme precision. It distinguishes between creating computer programs and assisting machines in memorizing without human intervention. Machine learning, on the other hand, has a promising future ahead of it.
A fresher can get a career in machine learning if he or she learns the necessary abilities. To have a successful career in the machine learning landscape, freshers must prepare how they will perform well and communicate closely with professionals that have significant expertise in the same sector.
Machine Learning is wide-ranging and its applications are infinite. Companies all over the world are searching for Machine Learning professionals who can be an asset to their companies. Machine Learning certifications can be valuable for your career ahead in this technology-driven world.
To function, all businesses rely on data. Machine learning has the ability to dig up the value of corporate and consumer data, enabling businesses to make better decisions and stay ahead of the competition.
Artificial intelligence (AI) is an area of computer science whose goal is to develop a computer system that can think like a person. It's created out of the phrases "artificial" and "intelligence," which mean "human-made thinking ability" when put together. Machine learning is a type of artificial intelligence, in which artificial intelligence refers to the overall appearance of intelligence, while machine learning refers to the process of machines ingesting data and learning things about the world that humans find difficult.
DataMites™ provide flexible learning options from traditional classroom training, latest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options
This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.
All certificates can be validated with your unique certification number at datamites.com portal. Also by manually sending an email to care@datamites.com
The results of the Exam are immediate if you take an online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms takes about 7-10 business days for e-certificate.
No, the exam fees are already included in the course fee and you will not be charged extra.
Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constraints, your relation manager at DataMites™ shall assist you with part payment agreements
DataMites™ has a dedicated Placement Assistance Team(PAT), who works with candidates on an individual basis in assisting for the right Data Science job.
You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis
The results of the Exam are immediate if you take an online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms takes about 7-10 business days for e-certificate.
It's no more difficult to learn how to use machine learning than it is to master any other set of programming libraries. The key is to focus on putting the algorithm to work rather than inventing it. Machine Learning, like any other discipline, may be learned easily in the right direction, and it is possible to create a career in it.
Bangalore is the most exhilarating city in the world for Machine Learning job hunters, as it grades among the top ten cities in the world for Machine Learning, Artificial Intelligence, and Big Data skills need. There are over 13,000 machine learning-related employment opportunities in Bangalore alone by May 2022. Machine learning employment options in Bangalore include data scientists, machine learning engineers, statisticians, data engineers, and research engineers.
Machine Learning is a highly sought-after field of study that assures highly lucrative salary packages. Aspirants can enroll at Datamites for Machine Learning Course, we provide in-depth training for your further career.
The duration of the Machine Learning Course in Bangalore is 6 months, totaling 120 hours of training. Training sessions are imparted on weekdays and weekends. You can choose any as per your availability.
The Machine Learning Engineer's Salary in India is 8,91,424 INR per annum and the salary for a Machine Learning Engineer in Bangalore is 8,91,394 INR per year. (Glassdoor.com)
No, a PG degree is not necessary but having prior knowledge of Mathematics, Statistics, Economics or Computer Science can be highly beneficial.
Machine Learning is one of the best spheres where you can begin your career in. Freshers can enrol for our Machine Learning Foundation Course.
The machine learning training fee in Bangalore might range from 12,578 INR to 60,000 INR, depending on the course level and form of training you choose.
Datamites does provide classroom training, but only in the Indian states of Bangalore, Chennai, Pune, Hyderabad and Kochi. We would be pleased to host one in other locations, ON-DEMAND of the applicants as according to the availability of other candidates from the exact location.
We are determined to provide you with trainers who are certified and highly qualified with decades of experience in the industry and well versed in the subject matter.
We offer you flexible learning options ranging from live online, self-learning methods to classroom training. You can choose as per your availability.
Our Flexi-Pass for Machine Learning training will allow you to attend sessions from Datamites for a period of 3 months related to any query or revision you wish to clear.
We will issue you an IABAC® certification that provides global recognition of relevant skills.
If you take the exam online at exam.iabac.org, the results are available immediately. According to IABAC guidelines, e-certificate issuing takes 7-10 business days.
Of course, after your course is completed, we will issue you a Machine Learning Course Completion Certificate.
Yes. Photo ID proofs like a National ID card, Driving license etc. are needed for issuing the participation certificate and booking the certification exam as required.
You don't need to worry about it. Just get in touch with your instructors regarding the same and schedule a class as per your schedule.
In the case of Machine Learning Training Online in Bangalore, each session will be recorded and uploaded so that you can easily learn what you missed at your own pace and comfort.
Yes, a free demo class will be provided to you to give you a brief idea of ??how the training will be done and what will be involved in the training.
All certificates can be verified at datamites.com using your unique certification number. Alternatively, you may send an email to care@datamites.com.
If you take the exam online at exam.iabac.org, the results are available immediately. According to IABAC guidelines, e-certificate issuing takes 7-10 business days.
Yes, we have a dedicated Placement Assistance Team (PAT) who will provide you with placement facilities after the completion of the course.
The DataMites Placement Assistance Team (PAT) assists applicants in completing all of the necessary processes to begin their Machine Learning career. PAT offers a variety of services, including: -
The DataMites Placement Assistance Team (PAT) holds career coaching sessions for applicants with the goal of assisting them in recognising the purpose they will serve once they enter the corporate sector. Students are guided by industry experts through the numerous options accessible in the Machine Learning career, allowing applicants to have a thorough image of their options. They will also learn about the many hurdles they are likely to meet as a newcomer to the industry and how to overcome them.
Learning Through Case Study Approach
Theory → Hands-on → Case Study → Project → Model Deployment
Yes, of course, it is important that you make the most of your training sessions. You can of course ask for a support session if you need any further clarification.
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Machine Learning is a highly sought after field of study that assures highly lucrative salary packages. Aspirants can enrol at Datamites for Machine Learning Course, we provide in-depth training for your further career.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.
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