Machine Learning Courses

Machine learning Courses are considered the gateway to enter into the vast domain of artificial intelligence. Professionals aspiring to become data engineers, AI specialists, machine learning experts, etc. attend machine learning certificate programs to strengthen their knowledge of the subject. Talking about Machine Learning, it is an application of artificial intelligence (AI) that provides computers or machines with the ability to automatically learn and improve from experience without being explicitly programmed to do so. Machine Learning Courses are designed exclusively for candidates who want to learn about the development of computer programs that can access data and use it to better customers’ experience. With Talentedge’s Machine Learning Courses, you can master this domain and gain a competitive advantage in your career.

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Machine Learning: An Exciting Branch of Artificial Intelligence

Machine learning is programming computers to tackle the tasks that are being performed by humans today. From driving cars to customer interaction and translating speeches, it is a powerful force that helps software make sense of the messy and unpredictable world of business. The way this world is evolving through technological advancements, we can say that machine learning is the future of artificial intelligence.

Also Read: What are the Trends taking Machine Learning Forward in 2022?
 

Understanding Machine Learning in Detail

At its quintessence, machine learning is a relatively simple concept. Computers are built on algorithms and the process of creating those algorithms and instructing/programming a computer system on how to make accurate predictions when fed relevant data is known as machine learning. While attending the online machine learning course, you will learn the use this technology in the following tasks:-

  • Making Accurate Sales Forecasts
  • Simplifying Product Marketing
  • Facilitating Accurate Medical Predictions and Diagnoses
  • Simplifying Time-Intensive Documentation in Data Entry
  • Improving Precision of Financial Rules and Models
  • Supporting Better Customer Segmentation
  • Recommending the Right Product
  • Deciding Cab routes and Fares
  • Personalizing Social Media Feeds, and so on

Also Read: 5 Tips on How to Start a Career in Machine Learning 2022
 

Types of Machine Learning

Machine learning is classified into three main categories, namely, supervised learning, unsupervised learning, and semi-supervised machine learning.
 

  • Supervised Machine Learning

This type of machine learning encompasses a "teaching by example" approach.

During training by a supervised learning approach, computer systems are exposed to massive amounts of labelled data. Even though the data needs to be labelled accurately for this method to work, supervised learning is compelling when used right.

In supervised machine learning, the ML algorithm is given a small training dataset to work with. This dataset is a smaller part of a much bigger dataset that provides the algorithm with a basic idea of the problem, solution, and points to be dealt with. The algorithm then finds a relationship between parameters entered and establishes a cause & effect relationship between the variables in the dataset.
 

  • Unsupervised Machine Learning

Unsupervised machine learning tasks algorithms with identifying patterns in data, which includes trying to spot similarities that can split data into categories. This means that human intervention is limited to making the dataset machine-readable, allowing larger datasets to be worked on by the program.

In supervised machine learning, the labels allow algorithms to find the exact nature of the relationship between two given data points. However, with unsupervised learning, there are no such labels to work off of. This results in a curation of hidden structures.
 

  • Semi-Supervised Machine Learning

In the coming years, semi-supervised machine learning is expected to diminish the importance of vast sets of labelled data for training machine learning systems.

As the name suggests, this approach is a combination of supervised and unsupervised machine learning. The technique relies on using a small amount of labelled data and a larger portion of unlabeled data to train computer systems. The labelled data, in this case, is used to partially train a machine learning model, post which the partially trained model is used to label the unlabeled data.

An online machine learning course can help professionals build a solid foundation in every type and tool of machine learning, allowing them to gain prowess in this domain.
 

What are Online Machine Learning Courses?

Machine learning courses are focused on schooling the candidates with ideas and theories of the latest technological developments in the field of machine learning. Covering the broad field of artificial intelligence, this course is of great substance in today’s world, thanks to the growth of the data-driven business market. Talentedge’s executive online courses in machine learning are dedicated to making participants acquainted with this domain and have an edge in their professional life.

Our online machine learning courses are highly market-oriented, with a clear vision of giving you a good understanding of data science, data visualization, logistics regression, etc. Along with helping you master the field of machine learning, the certificate courses aim to hone your leadership skills.
 

Reasons to pursue Talentedge’s online machine learning courses

The machine learning industry is expected to flourish rapidly and reach a whopping worth of USD 8.81 Billion by 2022.
 

A passion for working with cutting-edge technologies and these staggering stats alone are reasons enough to pursue a career in machine learning. Professionals all over the world are turning towards credible online machine learning courses that impart practical knowledge. And, this ML course from Talentedge boasts of quality content and practical knowledge, all of which is enclosed in a structured learning approach wherein lectures are delivered LIVE via eminent faculty of top-rated institutions.

Also Read: What are the Core Competencies that Define the Machine Learning Landscape
 

Reasons to enroll for an online machine learning course from Talentedge:- 
 

  • Jobs Galore

By enrolling for an advanced online machine learning course, professionals can make way for a wide array of career opportunities. Especially when reputable institutions like IIMs and IIITs accredit the programs, the value of such courses is elevated.

Below are some of the job opportunities available to professionals pursuing the online machine learning course by Talentedge:-

  • Software Engineer
  • Software Developer
  • Designer in Human-Centered Machine Learning
  • Data Scientist
  • Computational Linguist
  • Machine Learning Researchers
  • AI Engineer
  • Data Mining and Analysis
  • Machine Learning Engineer
  • Business Intelligence (BI) Developer

 

  • Highly Engaging Pedagogy

By pursuing an online machine learning course from Talentedge, professionals can have access to case studies, projects, assignments, virtual classes and other study material 24*7 via the cloud campus. What's more is that the pedagogy of these programs comprises LIVE & interactive lectures that are beamed online to the learner's laptop/desktop via the internet, which makes up for a collaborative session.
 

  • Structured Learning Approach

The entire curriculum of these machine learning programs is curated and delivered by the eminent faculty of highly reputable institutions. Furthermore, the uniquely structured learning approach of this machine learning full course encompasses a solid combination of theoretical as well as practical application. By leveraging cutting-edge technologies and tools, professionals can learn the intricacies of machine learning and gain an insight into the wide scope of applications.

 

  • Access to a More Personalized E-Learning Content

One of the numerous upsides of machine learning is its ability to identify patterns and predict learning outcomes. If an anomaly is identified, a machine learning algorithm automatically makes adjustments by providing helpful information. Similarly, the online machine learning course offered by Talentedge identifies any skill gap a learner or professional may exhibit, and recommends content in a personalized format to help them acquire requisite knowledge.

Also Read: Machine Learning: Changing Lives Around Us
 

Eligibility Criteria for Online Machine Learning Online Courses
 

Education

  • For Indian participants, a Graduation degree (10+2+3) or Diploma certificate (only 10+2+3) from a recognized University (UGC/AICTE/DEC/AIU/State Government) in any discipline is mandatory
  • International candidates have to present graduation or equivalent degree from any recognized University or Institution in their respective countries
  • Proficiency in English, spoken & written is a must for attending the machine learning courses

 

Work Experience

  • Professionals with some work experience will be given preference
     

Key Skills Required to Pursue Talentedge’s Online Machine Learning Courses

Working in the field of machine learning is highly demanding. In addition to understanding the core theories of the field, you should also have knowledge of various challenges associated with machine learning implementation. If you want to enter the sphere, you need to have an amalgamation of technical, programming, and soft skills.

  1. Applied Mathematics: A deep understanding of mathematical subjects such as algebra, probability, statistics, calculus, etc. is very important in the field of machine learning. Whether opting for the right algorithms or deciding the validation strategies, mastery in maths is a must. Apart from mathematics, physics concepts also play a crucial role in machine learning.
     
  2. Statistics and data science: Machine learning is an integral part of data science, in the sense that both are closely associated with each other for better AI results. The shopping suggestions, restaurant recommendations, and college endorsements you see on your phone are all backed by data, which is the bread and butter of artificial intelligence. While attending the online machine learning course, you will learn how to use data and statistics in regression, classification, dimension reduction, etc.
     
  3. Software engineering: How will you transform data into suggestions? It is through software coding. What appears on the screen is the result of software engineering and its essential concepts. Our machine learning online programs focus on equipping candidates with the theories of scaling algorithms with the data size, software coding, library calls, etc. Expertise in software engineering sets you apart from other professionals in the field.
     
  4. Artificial intelligence: Although artificial intelligence is the broader form of machine learning, having a basic understanding of what the former means gives you an edge. You should be aware of various tasks where it is used such as speech recognition, decision-making, visual perception, etc. Companies prefer those individuals who have delved deeper into the theory of artificial intelligence. That’s why our online machine learning courses put immense focus on enhancing our candidates’ knowledge of AI.
     
  5. Computer programming: Among the most important aspects of machine learning science, computer programming is extremely crucial. You need to be familiar with the fundamental elements of computer science such as data structures, space & time complexity, programming languages, algorithms, etc. Python has traditionally been one of the central pillars of machine learning education.
     
  6. Machine learning algorithms: In order to succeed in the domain of machine learning, one has to master its algorithms, which are applied in the process. Some of the common ML algorithms include linear regression, random forests, apriori algorithms, k-means clustering, etc. Make sure you have at least the basic knowledge of these topics before setting your foot in the field. Attend this online machine learning course to get a deeper understanding of machine learning algorithms.
     
  7. Good communication skills: And finally, a soft skill that may not be considered as important as it is- good communication. Weaponizing your technical and programming skills with communication skills makes your command over the subject matter even stronger. The better you present your insights to the team and other stakeholders, the more influential your ideas will be. In addition, applying the actionable instincts of each data set requires the art of turning statistics into effects.

Also Read: Key Differentiating Factors Between Machine Learning, Artificial Intelligence and Data Analytics
 

Admission Process for Online Machine Learning Courses by Talentedge

For availing the online machine learning course, you need to follow the given steps.

  • Open the website of Talentedge: talentedge.com
  • Search for your program on the browse course page.
  • Read all details and criteria for pursuing the course.
  • Click on the ENROLL NOW button on the course page, where you will be asked to fill up your personal details.
  • If you face any issue with signing up or the course curriculum, you can talk to our representative by clicking on the GET A CALL button.
     

Career options after online machine learning courses

The global machine learning market is anticipated to grow exponentially and reach a whopping $20.8 Billion by 2024, which means a surging wealth of job opportunities.
 

After pursuing a credible and advanced online machine learning course, there are a plethora of job opportunities for professionals to grab.
 

The Most Promising Machine Learning Jobs
 

  • Machine Learning Engineer

Machine learning engineer is being considered as one of the most coveted and promising roles in the field of technologies by professionals all over the world. Professionals specializing in this role are primarily involved with the design and development of complex ML systems and applications using ML algorithms and tools. By leveraging programming languages like Python, C++, Java, R, etc., machine learning engineers are required to perform statistical analysis and continuous experiments so higher accuracy can be achieved in future operations.
 

  • NLP Scientist

People who possess the ability to help machines understand natural human languages exist - they are known as NLP scientists. NLP scientists are primarily responsible for the designing and development of applications and algorithms that can help machines learn as well as comprehend similar patterns of speech of a human language.
 

  • Human-Centered Machine Learning Designer

Machine learning designer is an exclusive branch of machine learning that is dedicated to designing machine learning algorithms that are explicitly centered around humans. These software/algorithms are created so, organizations can understand the preferences and behavior patterns of individual humans through pattern recognition and information processing. Amazon and Netflix's recommendations systems are excellent examples of human-centered machine learning. Even though these systems require minimal to zero human intervention, someone ought to design and implement them, and those professionals are termed as human-centered machine learning designers.
 

  • Data Scientist

A data scientist is a high-profile role for experts who leverage advanced machine learning certifications that impart professionals with the ability to be creative with technologies like Big Data, AI, ML, Deep learning, etc. These professionals are responsible for collating, storing, processing, analyzing, and interpreting massive volumes of data on a daily basis. Their primary role is to extract valuable insights from large datasets that can be converted into valuable business information.
 

Salary After the Online Machine Learning Courses

Machine learning is going to revolutionize the entire business landscape; it is going to change the way organizations make decisions. Being a part of this landscape is not only a career boost but also an opportunity to work outside the monotony of a 9-5 job as machine learning experts require no geographical or demographic borders to work.

Professionals in the field of machine learning are among financial heavyweights in the industry. According to several studies in the market, the average salary of a fresher machine learning engineer is 10 lakh per annum. However senior machine learning engineers earn an average salary of 15-18 lakhs per annum.
 

Role of a Machine Learning Expert

In an uncomplicated world, the job of a machine learning expert is similar to that of a data scientist. Both work with massive quantities of data, require exceptional data management skills, and prowess in complex modeling of dynamic data sets.

But that's it. This is where these roles part their ways.

Machine learning experts are required to design and run self-running software to automate predictive models. Each time the software carries out an operation, it uses intelligence from those results to carry out future operations with a higher degree of accuracy. This is how the machine learns.
 

Core responsibilities of a machine learning expert include:- 

  • Designing, developing, running machine learning and deep learning systems
  • Running rigorous tests and experiments to help the software/machine learn
  • Implement appropriate ML algorithms for accurate results

The job of a machine learning expert is an exciting one as most of the day involves inventing and deploying innovative technologies. So it is with good reason that a career in machine learning is being considered one of the most lucrative and satisfying ones.

Unlock the potential of this emerging domain by pursuing a credible and advanced machine learning course online.
 

Machine Learning Course Fee

Talentedge offers online machine learning courses in collaboration with many prominent Indian as well as international institutes. These programs vary in their fee structures depending on course contents. The common fee range of our courses is Rs 60000 to Rs 300000.
 

FAQs for Online Machine Learning Course

 

Q. What are the job possibilities after completing the online machine learning course?

Ans. After completing an applied machine learning course online, professionals can apply to several job positions like a Machine Learning Engineer, NLP Scientist, Data Scientist, Business Intelligence Developer, Human-Centered Machine Learning Designer, etc.
 

Q. What is the career scope of machine learning?

Ans. Machine learning has made its way into almost every industry and sector. In fact, it is said that AI and ML are expected to transform human lives in ways beyond imagination. So be it shopping, communication, traveling, entertainment, healthcare, or marketing, ML has a wide scope career-wise.
 

Q. How can I upskill in machine learning?

Ans. The ideal and cost-effective way to hone machine learning skills is to enroll for a credible online machine learning course at Talentedge. These courses aim to help professionals gain an in-depth understanding of not just the theoretical underpinnings of analytics and machine learning but also the know-how required to apply these learnings to real business problems.
 

Q. Which institutes are currently offering online machine learning courses on Talentedge?

Ans. Currently, three premier institutions are offering online machine learning courses, namely, SPJIMR, IIIT Allahabad, and IIM Raipur. To know more about these programs, please visit the “browse course” section of the Talentedge website.
 

Q. What are the eligibility criteria for the online machine learning courses at Talentedge?

Ans. All machine learning training programs offered at Talentedge require professionals to have at least a graduation degree and a minimum of 2 years of work experience in the domain. Proficiency in spoken and written English is also a must. For more information related to admission criteria and eligibility, please check the “Eligibility section” of the course pages.
 

Q. How to build a thriving career in machine learning?

Ans. To build a thriving career in this domain, professionals can apply for an applied machine learning course online at Talentedge. Boasting of LIVE & interactive training sessions, the machine learning programs at Talentedge are aimed at helping professionals and aspiring machine learning experts build a solid foundation for a successful career.
 

Q. What is the demand for machine learning experts?

Ans. According to the latest report released by Garner, the business value of technologies like AI and ML is expected to reach a whopping $3.9 trillion by 2022. This means a plethora of career avenues are going to open up, leading to a surge in demand for machine learning professionals.
 

Q. What certification will I get after completing a certified machine learning course online?

Ans. Upon successful completion of the online course, professionals will be awarded a certificate from the institute they enrolled in. For instance, by enrolling for the certificate program in Machine Learning and Big Data Analytics from IIIT Allahabad and successfully completing it, a certificate of completion from IIIT Allahabad is awarded to each and every learner.
 

Q. What if I miss an online lecture? How will I cope?

Ans. Every online course from Talentedge allows 24*7 access to its cloud campus, which means that even if one misses a lecture, one can just log in to their account and watch the recording of the session. However, there are specific attendance criteria at Talentedge. So if a lot of LIVE classes are missed, the certification can be put on hold.
 

Q. What is the difference between AI and machine learning?

Ans: Although artificial intelligence (AI) and machine learning are closely related and connected, they are not entirely the same. There are a few differences between machine learning and artificial intelligence. AI is an umbrella-sized concept that gives machines the ability to think and behave like humans, whereas, machine learning is an AI element that helps computers to learn how to operate without being programmed explicitly.
 

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