Ultimate Parallel and Distributed Computing with Julia For Data Science: Excel in Data Analysis, Statistical Modeling and Machine Learning by leveraging MLBase.jl and MLJ.jl to optimize workflows

Ultimate Parallel and Distributed Computing with Julia For Data Science: Excel in Data Analysis, Statistical Modeling and Machine Learning by leveraging MLBase.jl and MLJ.jl to optimize workflows (Paperback, Nabanita Dash)

Share

Ultimate Parallel and Distributed Computing with Julia For Data Science: Excel in Data Analysis, Statistical Modeling and Machine Learning by leveraging MLBase.jl and MLJ.jl to optimize workflows  (Paperback, Nabanita Dash)

Be the first to Review this product
Special price
₹872
1,699
48% off
i
Coupons for you
  • Special PriceGet extra ₹37 off on 1 item(s)
    T&C
  • Available offers
  • Special PriceGet extra 26% off
    T&C
  • Bank Offer5% cashback on Axis Bank Flipkart Debit Card up to ₹750
    T&C
  • Bank Offer5% cashback on Flipkart SBI Credit Card upto ₹4,000 per calendar quarter
    T&C
  • Bank OfferFlat ₹50 off on Flipkart Bajaj Finserv Insta EMI Card. Min Booking Amount: ₹2,500
    T&C
  • Delivery
    Check
    Enter pincode
      Delivery by19 Dec, Friday
      ?
    View Details
    Author
    Read More
    Highlights
    • Binding: Paperback
    • Publisher: Orange Education Pvt Ltd
    • ISBN: 9789391246860
    • Edition: 2024
    • Pages: 484
    Services
    • Cash on Delivery available
      ?
    Seller
    Repro Books on Demand
    4.1
    • 7 Days Replacement Policy
      ?
  • See other sellers
  • Specifications
    Book Details
    Publication Year
    • 2024 January
    Book Type
    • Non Fiction
    Table of Contents
    • 1. Julia In Data Science Arena 2. Getting Started with Julia 3. Features Assisting Scaling ML Projects 4. Data Structures in Julia 5. Working With Datasets In Julia 6. Basics of Statistics 7. Probability Data Distributions 8. Framing Data in Julia 9. Working on Data in DataFrames 10. Visualizing Data in Julia 11. Introducing Machine Learning in Julia 12. Data and Models 13. Bayesian Statistics and Modeling 14. Parallel Computation in Julia 15. Distributed Computation in Julia Index
    Contributors
    Author Info
    • Nabanita Dash, a results-oriented Research Engineer, holds a BTech in Computer Science and Engineering from IIIT, India. A former Head of the Programming Club, she blends technology passion with leadership. With a foundation in Mathematics, Physics, Chemistry, and English, she excels in her role as a Research Engineer at Antimodular Research in Montreal. Specializing in deep learning artworks and 2D/3D data analysis, Nabanita previously volunteered for MLPack and OpenMined, contributing to C++ data management and privacy research. Her career journey includes a stint as a Full Stack Developer at Julia Computing. Proficient in ML, DL, Computer Vision, and various frameworks, Nabanita is a dynamic professional in the research and tech domain.
    Be the first to ask about this product
    Safe and Secure Payments.Easy returns.100% Authentic products.
    You might be interested in
    Medical And Nursing Books
    Min. 50% Off
    Shop Now
    Finance And Accounting Books
    Min. 50% Off
    Shop Now
    Language And Linguistic Books
    Min. 50% Off
    Shop Now
    Politics Books
    Min. 50% Off
    Shop Now
    Back to top