Everand Logo

Welcome to Everand!

  • Discover millions of ebooks, audiobooks, and so much more with a free trial

    Only $11.99/month after trial. Cancel anytime.

    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 (English Edition)
    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 (English Edition)
    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 (English Edition)
    Ebook840 pages6 hours

    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 (English Edition)

    By Nabanita Dash

    ()

    Read preview

    About this ebook

    Unleash Julia’s power: Code Your Data Stories, Shape Machine Intelligence!

    Book Description
    This book takes you through a step-by-step learning journey, starting with the essentials of Julia's syntax, variables, and functions. You'll unlock the power of efficient data handling by leveraging Julia arrays and DataFrames.jl for insightful analysis. Develop expertise in both basic and advanced statistical models, providing a robust toolkit for deriving meaningful data-driven insights. The journey continues with machine learning proficiency, where you'll implement algorithms confidently using MLJ.jl and MLBase.jl, paving the way for advanced data-driven solutions. Explore the realm of Bayesian inference skills through practical applications using Turing.jl, enhancing your ability to extract valuable insights. The book also introduces crucial Julia packages such as Plots.jl for visualizing data and results.

    The handbook culminates in optimizing workflows with Julia's parallel and distributed computing capabilities, ensuring efficient and scalable data processing using Distributions.jl, Distributed.jl and SharedArrays.jl. This comprehensive guide equips you with the knowledge and practical insights needed to excel in the dynamic field of data science and machine learning.

    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
    LanguageEnglish
    PublisherOrange Education Pvt Ltd
    Release dateJan 3, 2024
    ISBN9789391246860
    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 (English Edition)

    Related to Ultimate Parallel and Distributed Computing with Julia For Data Science

    Related ebooks

    Intelligence (AI) & Semantics For You

    View More
    View More

    Related podcast episodes

    Related articles

    • Article

      Ideas Lab

      Oct 10, 2021

      Meet Rashina Hoda, a software engineering researcher who studies how software engineers develop the software products we all love! K-Z : Hi Rashina! What do you do in your role at Monash University? R: As Associate Professor of Software Engineeri

      2 min read

    • Article

      Fact-check And Verify Information

      Mar 13, 2024

      Q: What is AI? A: AI is the acronym for artificial intelligence (AI) and refers to the development of computer systems capable of performing tasks that typically require human intelligence, such as visual perception, speech recognition, decision-maki

      3 min read

    • Article

      Getting The edge

      Feb 25, 2021

      Getting The edge
      7 min read

    • Article

      Making A Deep Impact

      Jul 3, 2023

      Making A Deep Impact
      6 min read

    • Article

      Quantum Leap

      Jul 11, 2019

      Quantum Leap
      6 min read

    • Article

      AI In Action: Case Studies

      Mar 4, 2024

      AI In Action: Case Studies
      9 min read

    • Article

      Learning to Love What I Don’t Know

      Nov 1, 2017

      LIKE MANY WHO HAVE made the leap into Startupland, I guessed from the outset that I had a lot to learn. I was right. Indeed, I jumped into the wormhole of blind spots and unknown unknowns. This has been especially true on matters technological. At Io

      2 min read

    • Article

      Five Steps To Join The Era Of Industry 4.0

      Sep 4, 2019

      When 3D modelling tool Revit first arrived on the scene, Australian architects were some of the world’s earliest adopters, with local users outnumbering Europe and the US combined. As a country, we’re often ahead of the curve, and should be building

      1 min read

    • Article

      The Verdict

      Sep 22, 2020

      The Verdict
      2 min read

    • Article

      Growing Communities of Practice

      Sep 1, 2019

      According to the SAP Digital Transformation Executive Study, 80 per cent of companies that have embraced digital transformation have experienced increased profitability. So why have only 21 per cent of companies completed their digital transformation

      5 min read

    • Article

      How We’re Going Back

      Aug 13, 2021

      How We’re Going Back
      11 min read

    • Article

      How We’re Going Back

      Aug 13, 2021

      How We’re Going Back
      11 min read

    • Article

      Embracing AI in Financial Services

      Jan 1, 2020

      You are the Chief Science Officer at RBC and you also oversee its AI research institute. Describe the bank’s interest in this arena. There are many aspects to our interest in AI. First of all, financial services is a very data-driven business. From t

      6 min read

    • Article

      Decoding The Impact Of AI

      May 5, 2023

      Decoding The Impact Of AI
      6 min read

    Related categories

    Reviews for Ultimate Parallel and Distributed Computing with Julia For Data Science

    0 ratings

    0 ratings0 reviews

    What did you think?

    Tap to rate

    Review must be at least 10 words

      Book preview

      Ultimate Parallel and Distributed Computing with Julia For Data Science - Nabanita Dash

      ebook_preview_excerpt.html}ےؕݞM23Uuk*&u-Ui$CJq'ļKf}9䇉w28}ko|?]w?ݾzj7W+z*{cSͪvk3nw?oj\ u C| }}ږE|Qڢn}ߡ++v~\mpVTXժؕmݺqe!zh\ѭe_P7MQ~5z?l: [b '/h kr]98BӸv}lxEơjvM唃aa5>Z\y3c><}dX,n5MwY t\+ulL?eέߦt>HU8d'|aKK^6hp:Y>}SrOYlSunЍB57뢮\\ _%7Q93iz1ˁ[׫X҉X9ʇnJbm:=;t-rA[vEg[ uOo Ğ;3~# ]Gl7P6JIv OPYϮεœ/xYO\/ hF]6kBgׅ{_.D\W|~=N~Gon#mY]=.hab艏@˛z#wmkR.t|$Z rKꇺ7þI'R7vB;"+ft"K4ܚ; 3DݖN $F_kKusNg]хw$`Wh0ܒn*,ꁇĪr=-3U3D6P4RrhnRӮn0%Cӄ#DJk"}A{=.a]%z&ڥ譍oD#e\ChY{$:PvHtK,A?uȱD~TRkŔJ qaSբ0VL;\؃GT4%5JnvU0*:V0!{IQW}Z:PzK =lFD]/Jb)M$8ir3eF5_hE5/BHdž4+" _j)m;9G;NHz+b 1a ۊ @ukHP2l7ۓql{ގDzh5:e v0CyzHG3U85<= yb$LivenE8(Z4)0eʹ?1p4sQds?5 46S3H0]DUG^e29&͌0ͬI\'#8ḘB6LSoDɇolew;AtVpd6[lvI~U]6,I-nDj]0Ub/=Aۏ ɽvމ>p[Gb٩[`vmdPC4SMfš KWI2\])^-y;^2G8_D #*$!)M0UKYa#MMw> B5Ċ|̗NL>%Vn6.?{`t$'*uY4L tHD~vٵ Y0V4fË޳TWڋ 3|i -ΖGb ?6Gt=3){~ÏjX ma~ϔBF ;,LGDaÂ^WDV;-Η27{0ݡL|궬`[ jW҉;Y87_}T:%fLH{ڒ ǒ?~_âxSSb 7K&L]l]b՗kQLtkpcBɱl{5[\B njEbh0 H;X+euPSpbkΎ:tP{rur-av2bFvwlGfe[_45{ЖV %Xt0@W'IBdI⯎-+-)Lv{ wDvpqN5|9qs6 {Xv.&a FK&tp[8X?%-tJ7izJ⩷tӈ~uqx5 NK!u^,}ငhx @7g,4f$G*15ŞUہUSJ oXM%QL>^$XbrVaiP&YO ґRu3-YLYW|X5K3O8pj[语Tَf[:18Ӄw==c#C7"׊ b{zU6MĞH~Zƺ#yF*i+ĸ4@/!rHk얭t%DoS IRli DzA7_p#R6*3H!\<(c-/zйxXOq){D;ߟCʔU?k!dcSxX3DQ* MS[ ݱݸK{ H⫭k~GQJ='GGF-.c?ہ}4f'1ٵ+k(i8:}f=|0 ɋ=-Ktgj]FIVyu$HO |$|IؘḾxn-Hq[>>ٳ6˾&yɁr=d#zr9@[~'6-4s=Q)JN5b2=o&j i=jy?hOo+ftr? vIs+yBOo6Izdy^w1i=my_aqCnW &$ he¨S` #GYW}XnN`jU8Ig34pxK`-H$~Ԓn97gW{5'$jIC'Q$CI Wu4i&L&Ī'83ѮbAh$ _6*bk;q]:u܃bz6d<\WK߲Td8-ͬx_P?&ҐYHF1J2!-=BW[kQ^5I`E 1?d43]b8ZspC/n:-ہƁ7'!_ )@]TTaV0Ţ, p-ydWwXQknCw2/Z ϖb;6"t>('^IWB*x6v]Vu8J;6dhf4P_U 堳At~2Zk-HȄIG]-!\(`rc0S P 7p& iJ$al9;.-ĺQ!6^q`dLH"Dx]Dm$ve6=.ʲaFuIŔ)*yV| ζ 'Ι^eEFH Rs!fwH i=Lpp9YJ/)Xjbd]$hBMV !.lNp$FaPRWDSjdZŲ./ڄ!@O2993D]`9^5V!)+^`Đ$C⁈{x1}nʬYO&ҤuGQa& Gha/ ׬-y%Y;8r/K(ɡOtYFS/lرb(C6_8 )lyĭ-|O@͚ މsq<9A"Ƚ'c |7D=s;iv.6KE~'*dvHr(П:Rja)}r!=EFIΒ; i)3b 4^=z QsT(S[4PUW#'H뱕:i% EsZ{f`W.8~6si11Kg B&C4&&1AhVS6hviOSPjሜ 8&O2,a_D%Y )GNJ(= ta_EDŌYϯ%^yjp3 -.oבyQ=f?WBikg}'<ѻDUZ>ZXÎ_3=*AjKaY'LyHGz9Ϙ`ɦ՝  u:FnNhJRpqGlQc8i&\vx8:͌NO){Ģu6q[bMTMU -ԶG @H0;y'vR|fZt!t&&#"ӹv! aaް ]l/xRd0qOSa tHWvZ 苯.iI|`qXBgK0SH'7LqeLki\rq7ut^c(h*H1jNs.o6LΪoz\^B}V HQ: ZX5%*v&$LExZx)XRKAnD8*qq'0j%'c9+R,h"gpCO 61~6@u6\,cT A(Bj{u<=U_pFDUh|g͉,) $ E |kօV%J"9|T˟IoXcN&T9Qޚ MӭTZDs4Gdkx(934mZ<_?=,?|SMUWO&+__>Y|qU٬%X<.x^Hŋh0b I&T(&% wR$`ϕKc΂^}eIzFԧrU%OkswTnd}4R,G U95՛QSKݫ\f䅋,c;IdKY$:g9kWd{oͲ"Դ%ũUmM^D*:3KϽ 0Ug(hĀ;sB3sVSYj\ :as"D':X=ȣWKF3;Ҏ8+ X)N@? =0> ar-DD+.bc+5jz.~yN~݊ JqBJxb+GkIf2$EY"PJ:9D%(蒡\VNLL jm2`Ɉ9t9fI];p.r 4̝jҭeb.l"S'IT 0$+ΙV&O rC˲ 46E@[cT;l# {dm(jelêl{G՟${a=3ލӑ҉0݄oj>%4gEkmnba .7sjAd̙H$ŠWސk# uc"x-/κӅӵzsEbώ`2[*iНmA!IA6rhdXjDl28eA") R:rxN\je:|S МS)ģ}U*냔{u2U7z ءs6@1FEsbvrq@ycK!@Lex˵z!:gC@A&>QZ>;SI'6/˶^;/'f8QFmORKL}d'G6^ejgQ1Ht8hJ(9 a\DMh#硑ԧޞ氌CfJԿG2I: "/.zP❋Tئ0b7&ԑG^f@^RL4Bn4]14EF;ӗ[Y-ҭJMmjj{ÉI1ZS}iO#׵M$n!5fpbŰj?UejR&-a1DŲiu ݟף]h!vcACx^[{bli&ϑoװ͛UE. r2hƗ`U}j#!1@j+f01/!Xum&F%RFA| =6J`4,=qN6*4PnD]mk2pڕK@їzDž?aTlbL[f ,l^#a1HY 6"ia0FJƒi'aia8v@5gI7Zp\oYn]ThEmcH?I<,0(6|%zm퐀d4؟eh&ĬBFh<"AEDK s1ZW.HbrJM?w5"7zN p ?\5cMWV t '$o eQ7C p3~ҎJ# E$]2`0VKx|ޓ4i @⇳vfHosZ1ꁔ_pսb%aTn=u>lޟoJ\ŷBT- e/~|D8v_;apX/iVPlZekkP%+#ADܽ u@99" ;>H'.ڇ5KR.ppYaRqE= 7oS^ wĒ4GԀڋ&ـ9P )\tTC/!M̧ԙdIm5@%\)GIB*V*k~5C)a`n,D"{si_蝤KƒR5'l]HZb.b$ TsOsG˩1JKe^o_r,l RϮV$,Zp'DΦy_ZRr^,̞mTMq ؎;.9`76*0: Jݺ iJ6IJ;e%@+cN!U5Z}aFɽ)-h8awc3RLXdT\4 :X'BX4jJO? D9 P9M{\aOb]%٢ (.kƧ \K: I,M %!rdV4V֚5iA }%0`zAup5 ͞ҍ<VT釃gZtA3 iM]xww ;IeA6`$Q.HCT }mGTcފӃdfIXi/-ٙ>pH5EIrr9> ?_&tVyDc9aRM>35-[692wg<ݞ~qVf9züv K%C/dqR. HJ a:~y2\џٝiyVoRe[lN<A+iN#Ey&" uy ]yqve^ΊV?R'Nn`Ҟ@(cِQA?4 , peƈ[uܰ3K^?I;Gl90O]d(u+]BO0/@|2>qR̋ԉJ LyGi)ױeT}WWB"2Is󣁼 ̲d09uIqŸZisV{BݾZ_8ڹI$7W$ª.վ|onn><}w)s k\n7Oz|58}R|?:nt_9ͽ4QsxNbF8.N{԰\1w#s]>S06a.20QUY)8qe{7}@0"OVI+񌣏?9D9/v&vM:ΙShւ!m~/u#P'tAc?ej-UG6psHB>K ;OBYK<;O~52c]29]h44b@\Xf1ᯬkLMv+pU;߫͘PG]GbLyu!f~'k8{t&qJz06aQ 6k 3LLω׏˥xZ%|&(|go&ԙ iBoW(԰VpeZ80H0,yog {E2@c&ԑԨf@IO%Lf&4ihh4nˆ:S IW4VC9 =k_y4N^P Pd~ƀf1lZ*B?mISwn+?a-BpB:]ņDfHs%}$ap3!$, ,o2H#u`ş^rUV +^C֖I{L}Mu}\5imI3 *) AVF@wAE6ә9*h*}fǍtCT?vA쥫 /PɄV/Ƈjp6֦U^^YytlnT _AZݗWfgiHS_Tyu<cYzj*T+]CvϜItzӾkMIqv 7wDGp*Y/*eL6'd:$NiV2 ?7?z|JRomd^3]xbߊOWdD%)I .;B_5*spcshǛBqڰ#4`PopWTl`Ɨ/ۜy1nG'g.+;G V,M>ue2NWqM0@`kbk+U_ed+a Vϟ;=wڻ GDB%5d@ѬUtZ*tw<{Z;nF&NQK>%7xHq\|ɾ86ӎ0iLfy"6`QU6n>&|i]W8̎5M+#l1uoǰnn;e ~B˓z -.~$-h8QfQʹENq}B\On)Q!#ωĘ;9KNOvS^Y T_m } m >(|'Rf^c pv PSK`Ǣ hg f $ۀPz%(Z?(G14kXO; cb1+VS~jK挫1(ɫsw)gMsꂯvT6y>xwNJ76]웫~TlTc $?tNM#de"EkRaA>#+9t}t֋/%me Y[}o˟@ߘ }9od|!.wȨ!g43G2QV bkFٖ+#r-v}Ӹ q%O@YO_v>j~aI񓌖 TO6Ҧ6Ύ'-`}dT!Y;tn f Z*6=oG=1V*1ZD\X!oU@&ɜ&M
      Enjoying the preview?
      Page 1 of 1