• POST GRADUATE DIPLOMA IN MANAGEMENT
    Co-created with BIMTECH
    4.8 out of 6071 learners
    2x industry demand
  • PROFESSIONAL CERTIFICATION IN SUPPLY CHAIN MANAGEMENT AND ANALYTICS
    Co-created with IIT Roorkee
    4.8 out of 5 by 469 learners
    4x
  • CERTIFICATION IN ARTIFICIAL INTELLIGENCE and MACHINE LEARNING
    Co-created with E&ICT Academy, IIT Guwahati
    4.8 out of 5 by 621 learners
    4x industry demand
  • POST GRADUATE PROGRAM IN DATA ANALYTICS and MACHINE LEARNING
    4.8 out of 5 by 3278 learners
    14 X industry demand

AIML or Artificial Intelligence and Machine Learning are some of the leading subject matters in the tech industry. ML is a branch of AI and has a wide range of applications in our daily lives, ranging from traffic predictions, face and voice recognition, product recommendations, virtual personal assistant, fraud detection, automatic language translation, and many more.

Therefore, big ventures like Google and Facebook are exclusively employing AIML in their products and services. Machine learning is the process by which computer scientists and engineers attempt to impart intelligent behavior into machines, to make them think and respond like human-mind in real-time situations.

For example, Google Assistant, Cortana, and Siri are entirely powered by machine learning algorithms that recognize speech.

AIML works in a complex way to make predictions and decisions based on past data, eventually refining its accuracy. A machine learning course can definitely help someone study and get training in machine learning data and algorithms.

What are the top Machine Learning Skills?

To get a desirable job related to machine learning - data engineer, machine learning engineer or machine learning scientist - you need to have knowledge and training in both software engineering and data science.

Following are the top 5 machine learning skills desired by employers:

  1. Computer Science Fundamentals and Programming

If you are getting into a technical world, then you need to have knowledge of CS fundamentals like data structures (graphs, stacks, queues, etc), algorithms (optimizing, dynamic programming, etc), computability, and complexity (NP problems, P vs NP, etc).

Having experience in different programming languages, like Python and Java, will make it easy for you to implement these fundamentals for better results.

  1. Applied Mathematics

Within applied mathematics, probability and statistics go hand in hand. Many machine learning algorithms employ probability and its techniques, like Markov Decision Process and Bayes Net, to approach uncertainties and deal with them.

You should also be well-versed in statistics to be able to build algorithms from observed data through the application of various measures, analysis methods, and distributions.

  1. Data Modelling and Evaluation

Data modeling is the process of understanding the underlying structure of a dataset, in order to find complex patterns. Furthermore, you will have to evaluate the data to be able to choose an effective accuracy/error measure like regression, clustering, and classification.

The kind of evaluation strategy that you will apply, whether it’s training-testing split or sequential vs randomized cross-validation, depends on your knowledge of data modeling and its different measures.

  1. Machine Learning Algorithms

ML algorithms are broadly characterized into three categories - supervised, unsupervised and reinforcement machine learning algorithms. You can effectively choose a machine learning algorithm if you are aware of the learning procedures and hyperparameters that affect the learning.

Some of the common algorithms are K Means Clustering, Naïve Bayes Classifier, Support Vector Machine and Linear Regression. Having appropriate knowledge of the advantages and disadvantages of these algorithms is essential to machine learning.

  1. Natural Language Processing (NLP)

NLP is the bedrock of machine learning. It is a learning model through which a computer is made to understand and interpret the human language. Many libraries across the world provide the foundation of NLP and help computers understand human language by decoding the text or speech according to its syntax.

Natural Language Toolkit is one of the most popular libraries to build NLP applications. Without the basic skill of using NLP, it can become fairly difficult to get into machine learning.

 Conclusion

All these skills come under one roof with the Artificial Intelligence and Machine Learning course offered by Imarticus. A PG in Data Analytics and Machine Learning will definitely polish these top skills and help you understand related concepts such as Deep Learning and Artificial Neural networks.

For Online Course Enquiries
About Imarticus
Imarticus Learning is India’s leading professional education institute that offers training in Financial Services, Data Analytics & Technology. We’ve successfully transformed careers of over 35,000+ individuals globally through our Certification, Prodegree, and Post Graduate programs offered in association with leading and renowned global organisations in the Financial Services, Data Analytics & Technology domain.
Related course
  • Finance
    POST GRADUATE DIPLOMA IN MANAGEMENT
    Co-created with BIMTECH
    Course duration(Months)
    24
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 6071 learners
    2x industry demand
    Upcoming Batches
    Date Location Schedule
    3rd August Live Instructor - Led Training Online
    Date Location Schedule
  • Analytics
    PROFESSIONAL CERTIFICATION IN SUPPLY CHAIN MANAGEMENT AND ANALYTICS
    Co-created with IIT Roorkee
    Course duration()
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 5 by 469 learners
    4x
    Upcoming Batches
    Date Location Schedule
    21st November ONLINE Online
    Date Location Schedule
  • Placement Assistance
    CERTIFICATION IN ARTIFICIAL INTELLIGENCE and MACHINE LEARNING
    Co-created with E&ICT Academy, IIT Guwahati
    Course duration(Months)
    8
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 5 by 621 learners
    4x industry demand
    Upcoming Batches
    Date Location Schedule
    23rd October ONLINE Online
    Date Location Schedule
  • Post Graduation
    POST GRADUATE PROGRAM IN DATA ANALYTICS and MACHINE LEARNING
    Course duration(Months)
    5
    Upcoming batches
    1
    Organizations enrolled
    20
    4.8 out of 5 by 3278 learners
    14 X industry demand
    Upcoming Batches
    Date Location Schedule
    30th October CHENNAI Weekend
    Date Location Schedule