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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.
Machine Learning (ML) is a different approach where computer learns the rules of solving complex problems without being explicitly programmed. Machine Learning algorithms are at the core and important pieces of data science.
This course - Machine Learning with R, is designed to provide a holistic understanding of various ML algorithms with high-level theory and hands-on application of ML algorithms to classic data sets.
This course is a foundation level course, so most of the aspiring Machine Learning candiates can opt for this course
This course provides a solid foundation in Machine Learning with R as the syllabus is aligned with international market requirements. As a part of the course, a certification assessment is conducted and candidates achieving minimum qualifying score receive a global certification, carrying immense value of the testimony of Python with Machine Learning 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 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 the 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 market requirements and be a part of this phenomenal Data Science era.
Machine learning refers to the ability of machines to imitate intelligent human behavior and make predictions or decisions based on data.
Machine learning is widely used across industries, including healthcare, finance, social media, fraud detection, and biometrics.
Job opportunities in machine learning include roles such as data scientist, machine learning engineer, NLP scientist, business intelligence developer, software engineer, computational linguist, application architect, and data analyst.
Machine learning algorithms are categorized into supervised, semi-supervised, unsupervised, and reinforcement learning.
Prerequisites for learning machine learning include a basic understanding of applied mathematics, computer science fundamentals, communication skills, and familiarity with concepts like NLP and neural networks.
Anyone interested in learning machine learning, whether a beginner or experienced professional, can enroll in certification programs. It is particularly beneficial for those looking to pursue a career in data analytics.
Learning machine learning is no more difficult than mastering any other programming libraries. It requires focus on practical implementation rather than inventing new algorithms. With proper guidance, machine learning can be learned easily, leading to a rewarding career.
Machine learning is a subset of artificial intelligence (AI). AI aims to develop computer systems that can think like humans, while machine learning focuses on machines learning from data to perform tasks that humans find challenging.
Data science is a field that utilizes a scientific approach to extract insights from data. Machine learning is a collection of techniques within data science that enables computers to learn from data.
Freshers can secure jobs in machine learning by acquiring the necessary skills and demonstrating their capabilities. Networking and learning from experienced professionals in the field can significantly enhance their chances of success.
The average annual salary of a Machine Learning Engineer is around $156,885 in the United States, £60,885 in UK, and INR ₹8,47,730 in India. (Indeed)
R is a programming language and software environment used for statistical analysis, data visualization, and reporting.
R was created in 1993 by Ross Ihaka and Robert Gentleman.
The R programming language offers a wide range of statistical and graphical methods, including machine learning algorithms, linear regression, time series analysis, and statistical inference.
R is not just a tool but a fully functional programming language. It can store data, analyze data, develop statistical models, and is highly flexible compared to other programming languages.
The "R" in R-Programming Language is derived from the first letters of the authors' names, Robert Gentleman and Ross Ihaka. It is also a play on the name of the Bell Labs Language S.
R is considered beginner-friendly as it does not require prior programming knowledge, making it accessible for newcomers.
R is excellent for statistical analysis and computing, offers a wide range of libraries, supports various data types, allows data cleansing and web scraping, provides impressive graphics capabilities, and has a vibrant community of users.
R is a powerful platform for machine learning and is widely used by data scientists. It enables exploration, modeling, and visualization of data through objects, operators, and functions.
The R programming language is gaining popularity in the data science field, and it is utilized by major tech companies like Facebook, Google, and Uber. According to the TIOBE Index 2021, R is currently the 13th most popular programming language globally.
Machine learning certifications are valuable for career advancement in the technology-driven world. They demonstrate expertise and knowledge in machine learning, making professionals more desirable to companies worldwide.
DataMites™ provide flexible learning options from traditional classroom training, lastest 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 IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.
The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness 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 constrains, your relation manager at DataMites™ shall assist you with part payment agreements
DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for 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
DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.
To learn Machine Learning, you can enroll in the Machine Learning Courses provided by DataMites. They offer comprehensive training for individuals looking to build a career in this field.
DataMites offers the following Machine Learning certifications:
Machine Learning with R course covers the fundamentals of Machine Learning, popular algorithms, and hands-on coding using R. It also includes topics like basic statistics for Machine Learning, data processing, developing and training Machine Learning models, and a case study on property estimation using Machine Learning.
The Machine Learning with R course is suitable for:
The Machine Learning with R training from DataMites offers a solid foundation in Machine Learning with R, matching international market standards. It includes a certification evaluation, and successful candidates receive a globally recognized certification in Python with Machine Learning skills.
The prerequisites for Machine Learning with R course include a comprehensive introduction to Machine Learning, a high-level understanding of popular Machine Learning algorithms, and hands-on coding experience with common Machine Learning techniques on traditional datasets. The course also utilizes the framework provided by the International Association of Business Analytics (IABAC).
DataMites is a globally accredited institute for Machine Learning, certified by the International Association of Business Analytics Certification (IABAC). With over 25,000 enrolled students, DataMites offers a three-step learning method, including self-study materials, intensive live online training, real-world projects, and valuable case studies. Upon completion, participants receive a globally recognized IABAC certification and have the opportunity for an internship with AI company Rubix.
The Machine Learning with R course fee varies by location:
The fee for the machine learning foundation course online varies depending on the region:
Yes, DataMites provides classroom training, but currently only in Bangalore. However, they are open to hosting classes in other locations based on demand and the availability of other candidates from those locations.
Flexi-Pass at DataMites allows participants to attend sessions related to their Machine Learning queries or revisions for a period of three months.
Upon completion of the Machine Learning training, DataMites issues an IABAC® certification that provides global recognition of the acquired skills.
Yes, DataMites will issue a Course Completion Certificate after you complete the Machine Learning with R course.
Yes, DataMites has a dedicated Placement Assistance Team (PAT) that provides placement facilities after completing the course.
Yes, you can request a support session if you need further clarification or assistance with a particular topic. DataMites encourages participants to make the most of their training sessions.
DataMites accepts various payment methods, including cash, net banking, checks, debit cards, credit cards, PayPal, Visa, Mastercard, and American Express.
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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