Machine Learning Classroom Workshop in Pune, India

Machine Learning With Python Training

6th & 7th April 2019
25th & 26th May 2019

16 Hours of Classroom workshop and 2 Hours of Online doubt clearing session

Course Description

Machine Learning with Python has been designed for the provision of having strong hold in creating Machine learning algorithms with the base of Python. This has been preferred as the best and robust platform for having Machine Learning systems.

Insights of machine learning with Python

After course completion, a participant can get entitled with the below:

  • Strong knowledge on AI, Data Science and Machine Learning.
  • Implementation and having strong holds on principles, algorithms and applications of Machine Learning through unique teaching approach.
  • Machine Learning through unique teaching approach.
  • Having depth knowledge of Machine Learning models with the base of mathematical and heuristic aspects of Machine Learning.
  • Comprehensive relation between theory and practical for Machine Learning.
  • Problem solving ability for different real world scenarios on Machine Learning as we will be covering various real time use cases and you need to accomplish 2+ ML projects.

Benefits of Machine Learning Workshop in Pune

  • Identify different applications for machine learning based algorithms.
  • Performing supervised learning techniques such as linear and logistic regression.
  • Understanding on data classifications and models.
  • Development of robust Machine Learning models.
  • Top algorithms among many for any given Machine Learning problem.
  • Create accurate predictions and powerful analysis.
  • Usage of unsupervised learning algorithms as Clustering & Segmentation.

Who should attend this ML Classroom Workshop?

  • Enthusiastic Software Developers to be a Data Scientist or Machine Learning Engineers.
  • Software/Solution Architects, who wants to have strong hold on Machine Learning algorithms.
  • Analytics candidates, who are opting to work in the domain of Machine Learning or Artificial Intelligence.
  • Graduates seeking for building their career in Data Science and Machine Learning.

Instructor – Pune

Brief Info

Have 15+ years of industrial/research experience on design & development of implementable solutions for various complex supply-chain & other allied business problems – across industries.The thrust area of experience & expertise is in quantitative modeling with advanced analytics & data science skills, including traditional algorithms, advanced statistical analysis, machine learning, evolutionary computations, simulation, and optimization.

Research Achievement

Co-Authored 20+ research articles in international journals/Conference like, Mathematical and Computer Modelling, Computers & Industrial Engineering, International Journal of Management Science & Engineering Management, International Journal of Operational Research, International Journal of Integrated Supply Management; IEEE International Conference on Industrial Engineering and Engineering Management, Singapore; Winter Simulation Conference (INFORMS), Arizona, etc.

  • Early Bird Offer
  • ₹ 16, 000
  • (Valid Till 16th Nov 2018)
Download Course Curriculum

Workshop FAQ’s

Machine Learning is a highly interdisciplinary subject. Hence, basic understanding of the following Concepts is highly useful:

  • Some background in programming (basic familiarity with variables, functions, loops, etc in any language) is helpful.
  • Linear algebra
  • Probability theory
  • Statistics & hypothesis testing
  • Optimization methods

NearLearn has a dedicated job Assistance Team, who work with candidates on individual basis in assisting for right Machine Learning job.

Payment can be made via Cheque / DD / Online Funds transfer / Cash Payment.

Cheque should be drawn in favour of “Near And Learn Pvt. Ltd.” payable at Bangalore NEFT Payment:

Account Name: Near And Learn Pvt. Ltd,

Account Number: 201002051650

IFSC Code: INDB0000008

Branch: IndusInd Bank Limited Bangalore

A/c Type: Current

09.30am – 06.00pm Weekend(Saturday-Sunday)

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