Data Science & AI: Judwa Bhaai Ya Masaledar Biryani ki Two Ingredients? 🍲

DATA SCIENCE vs. AI

Assalamualaikum pyaare dosto! 🌙 Aj hum dive karne wale hain ek juicy topic mein: Data Science aur AI. Har koi inko alag-alag samajhta hai, par kya inka koi rishta bhi hai? Aaj ke post mein, hum yehi decode karne wale hain. Chalo, shuru karte hain is safar ko!

1. Pehle Pehle… Kya Hai Data Science? 📊

Data Science ek buzurg ka ilm hai, jahan hum bohot saari data ko analyze karte hain, use samajhte hain, aur isse valuable insights nikalte hain. Iska use hota hai business decisions, predictions, aur recommendations mein. Think about it jaise ke ek biryani ki recipe. Har ingredient ko sahi tarah mix karne par hi aapko behtareen biryani milegi.

2. Ab AI Ki Bari… Kya Cheez Hai Yeh? 🤖

AI, yaani Artificial Intelligence. Yeh hai woh masala jo machines ko human jaisa bana deta hai. Matlab, machine ko samajh aata hai kuch tasks jo pehle sirf insaan kar paate the. AI mein learning models, neural networks jaise advanced tools ka use hota hai.

3. Toh Kahan Aata Hai Connection In Dono Mein? 🧩

Socho, Data Science se aapko pata chala ke aapki biryani ki sale har Friday ko zyada hoti hai. Ab, AI use kar ke, aap yeh predict kar sakte hain ke agle Friday ko kitni biryani ki zaroorat hogi. Samajh rahe ho? Ek insights deta hai, aur doosra uspe action leta hai.

4. Data: AI Ka Khana-Peena 🍔

AI algorithms ko chalane ke liye data ki zarurat hoti hai. Aur yeh data kahan se aata hai? Ji haan, Data Science se! Data Scientists data ko clean, prepare, aur transform karte hain takay AI models isse “learn” kar sakein.

5. Machine Learning: The Bridge 🌉

Machine Learning (ML) ek subset hai AI ka. Yeh woh jagah hai jahan Data Science aur AI dono milte hain. ML models ko train kiya jata hai using data, and yeh models predict ya classify karte hain based on this training.

6. Real-Life Example Time! 🏢

Socho, Lahore mein ek khoobsurat sa shopping mall khula hai. Ab woh chahte hain ke woh samjhein ke log kis waqt sabse zyada aate hain shop karne. Yeh jaan’ne ke liye, woh data collect karte hain (Data Science). Phir, unhone ek AI system develop kiya jo predict karta hai ke agle hafte kis din aur kis waqt log zyada aayenge (AI). Aha! Dekha? Dono hand-in-hand chal rahe hain.

7. Ek Aur Masaledar Example! 🍲

Maan lo aapke paas ek restaurant hai jahan har roz nayi-nayi dishes try ki jaati hain. Aap Data Science use kar ke pata laga lete hain ke log gosht ki konsi dish zyada pasand karte hain. Phir, AI ka magic use hota hai predicting ke liye ke agle mahine Eid par konsi dish zyada bikne wali hai.

8. Future: AI aur Data Science ka Milan 💒

Future mein, humein expect karna chahiye ke AI aur Data Science ka milan aur bhi zyada hoga. Personalized experiences, smart cities, aur health predictions, yeh sab kuch in dono ke combination se hi possible hoga.

9. Rishte Mein Toh Hum… 🤝

Toh dosto, humara conclusion kya hai? Simple: Data Science aur AI judwa bhaai nahi, par woh hain best friends jo ek dusre ke bina adhoore hain. Data Science woh foundation hai jis par AI ka mahal khada hota hai.

10. Aakhri Alfaaz 🖋

Mujhe umeed hai ke ab aapko thoda clear ho gaya hoga ke Data Science aur AI ka rishta kya hai. Yeh dono technologies hain jo hamari zindagi ko asaan banane mein madad kar rahi hain. Toh agli baar jab koi keh de ke “Yeh kya bakwas hai, Data Science aur AI?”, aap confidently keh sakte hain ke “Bhai, yeh future hai!”

🚀 Call to Action: Kya aap seekhna chahte hain AI aur Data Science? Toh intezar kis baat ka! Shuru ho jao aaj se. Seekho, samjho, aur implement karo. Pakistan ko bright future ki taraf le jao. 🌟🇵🇰

Khuda Hafiz, aur milte hain next blog mein! 🌹👋

213 Comments.

  1. Excellent but i have some confusions. The confusion is that Data science predict the future trend or AI?

    1. The answer is AI.
      Data Scientists data ko clean, prepare, aur transform karte hain takay AI models isse “learn” kar sakein.
      Machine Learning (ML) ek subset hai AI ka. Yeh woh jagah hai jahan Data Science aur AI dono milte hain. ML models ko train kiya jata hai using data, and yeh models predict ya classify karte hain based on this training.

  2. excellent description that first stair is data scientist /data analytics if you want to reach top upstair i.e AI,its suggestion , please move this comments box on top.

  3. simply amazing learning method simply understand what is data science what is AI and how they relate to reach other

  4. In this article, I properly understand what Data science and AI is. Data Science provides insights, and AI takes action based on those insights. Data Science and AI aren’t twins, but they’re best friends who complete each other. Data Science lays the foundation for AI’s grand palace.

  5. Hello Sir, Perfectly understand the rishta of data science and Artificial Intelligence. Your way of teaching is adorable. Thanks a lot, Baba G

  6. Very nice!
    now I almost understand the things what I need to be understand.
    however; further understanding will hopefully be made during practical examples; where the ‘insights’ need to be understand, for future.
    thanks

    1. Very excellent
      now I almost understand the things what I need to be understand.
      however; further understanding will hopefully be made during practical examples; where the ‘insights’ need to be understand, for future.
      thanks

  7. Data Science aur AI judwa bhaai nahi, par woh hain best friends jo ek dusre ke bina adhoore hain. Data Science woh foundation hai jis par AI ka mahal khada hota hai.

  8. Collecting,analyzing and cleaning data is data science.Getting some beneficial output from this data by means of algorithm is Artificial intelligence. Ai algorithms learn from users input (or any available data) is Machine Learning.

  9. Sir ji aap se seekhne ka maza he kuch aur hay, zabardast desi analogies milti hain apse. Ye concept ab aur bhi clear hogaya hai. “AI wo mahal hay jiski bunyad data science hai”.

  10. Data science is password for AI to enter in the world of actions. Data science accumulates DATA ANALYTICS on BIG DATA with help of DEEP LEARNING & MACHINE LEARNING which all commutees to perform ARTIFICAIL INTELLIGNECE… apka Blog Parh ker Mind ko Data Science Mili hy KY BIryani Is our favourite Jahan bhi iska naam sunaye bhook lag jati hy & AI of brain is saying we will recieve it on Day 18 of this course 🙂

  11. MashaAllah Aap na bohat assn andaz ma aik complex relation ko bayan kar diya. Allah karay zor-e-bayan aur ziada.baba g zndabad

  12. In my opinion, AI actually remains in the past in the form of logics. As we used in MS Excel, and other languages. But now as per increasing computing capabilities, it termed as AI. New AI techniques, like reinforced learnings have been based over those algorithms which have been published long time ago, as example Markov Chain.

  13. To quote the Baba Ji himself: ” Data Science ek buzurg ka ilm hai, jahan hum bohot saari data ko analyze karte hain, use samajhte hain. Data Scientists data ko clean, prepare, aur transform kartar hain takay AI models isse ‘learn’ Ab, AI use kar ke, aap yeh predict kar sakte hai hain ke agle Friday ko kitni biryani ki zaroorat hogi.”

  14. bohat acha explain kia aap nay.. now i understand claerly about the all the trems realted to ai,ml.dl.and ds

  15. Sir bht achay sy smjh lagi ha , ap nay jo kuch desi extra masala laga kr Data Science or AI ki biryani ko zyada spicey kia ha k maza aaa gay, sir thanks a lot apka teaching method ko hmara salute ha
    Allah pak apko lambi or sehat-mand zindagi ata farmaye

  16. Thank’s sir
    summary
    Data Science : Gives Insights
    AI: Takes Action
    ML: Bridge between AI and ML
    Importance: AI and data science are two freinds that need to be co exist

  17. Assignment 3:::

    (LLM details)

    top 12,

    1. GPT-4 (OpenAI)
    – Feature: Multimodal, improved factuality
    – Fees: $20 for ChatGPT Plus
    – Cost: Paid

    2. Cohere
    – Feature: Enterprise-focused, accuracy
    – Fees: $15 per 1 million tokens
    – Cost: Paid

    3. Claude v1 (Anthropic)
    – Feature: High performance, 100k token context
    – Fees: Not specified
    – Cost: Not specified

    4. PaLM 2 (Bison-001, Google)
    – Feature: Multilingual, commonsense reasoning
    – Fees: Not specified
    – Cost: Not specified

    5. LLaMA (Meta)
    – Feature: Open-source, research use
    – Fees: Free for research
    – Cost: No cost

    6. Vicuna 33B (LMSYS)
    – Feature: 33B parameter model
    – Fees: Free
    – Cost: No cost

    7. Guanaco-65B (Open-source)
    – Feature: Fine-tuned performance
    – Fees: Free
    – Cost: No cost

    8. WizardLM
    – Feature: Complex instruction following
    – Fees: Free
    – Cost: No cost

    9. 30B-Lazarus (CalderaAI)
    – Feature: Improved benchmark performance
    – Fees: Free
    – Cost: No cost

    10. MPT-30B (Mosaic ML)
    – Feature: Open-source, 8K token context
    – Fees: Free
    – Cost: No cost

    11. Falcon (TII)
    – Feature: Open-source
    – Fees: Free for commercial use
    – Cost: No cost

    12. GPT-3.5 (OpenAI)
    – Feature: General-purpose, fast response
    – Fees: Free
    – Cost: No cost .

  18. Types Of AI :

    There Are 7 Types of Ai

    1. Narrow Ai

    2. General Ai

    3. Strong Ai

    4. Reactive Machines

    5. Limited Memory

    6. Theory Of Mind

    7. Self Awareness

    What Is Difference Between DA And DS

    Data scientist is a person who understand client business and data problem. He understand the data from a business point of view . His work is to give the most accurate predictions . A data scientist fosters decision-making in the company

    Data analyst is person who handle only client data deals with data manipulation , report creation , he deals with technicality of data . He will not understand business problems . Data analyst is the basis level of data science

    Baba g tusi great ho!

  19. Explained in a delicious way.. Topic bhe clear, biryani bhe mazadar tyar aur sale bhe maximum. Love the way you explain. Happy teacher Day Baba ji. 🙂

  20. Sir apnay kia sikhaya h smjh gaye ye sb ek dusre s juray huay hn Data Science Ml And AI jese m uskay bina adhura hn 😭wesi ye teeno ek dusre k bina adhuray hn😭🙄

  21. Assalam-o-Alaikum. Certainly, an amazing way to put forth the idea in simplest way possible. Jazzak Allah Khairan.

  22. Sir i would suggest k aap iss k saath saath english mai bhi blog likh diya krain yeh aap ka ehsaan hoga jo student urdu mai read krna chahte hain woh urdu mai krenge aur jo english mai hum sb k liye easy hoga.
    JazakAllah Khair

  23. bahot mushqil concept bahot he asan andaz mai mashallah website ka bara faida ho rahan hain Thanks Sir Ammar

  24. In this article, I have learned about data science and AI and the mixture of them and also I knew that actually what they are. And what is the difference between them and how and why they belong each other.

  25. Is ka matlb hai k dono aik dursray k bagher adhoray hai. kiu k data k bagher AI kuch b nahi hai sara daromadar data science par hai.

  26. Is ka matlb hai k dono aik dursray k bagher adhoray hai. kiu l data l bagher AI kuch b nahi hai sara daromadar data science par hai.

  27. Amazing, Now i’m clearly understand Data Science, Data Analytics, ML and AI technologies. I have a question can i learn all these technologies or learn one field from above of them?

  28. simply awesome love you bhai data sci and Ai donu ek bicycle ke tyer ke terha hai donu sath hoge tu he bicycle chal sakte hai

  29. Very well and brief explanation.

    Sir IK chota Bhai jise data Analytics bhe khty hn , jis me data scientist phly data ko pre-process Karta he haha raw data clean hota he. I mean Jo Bhai karke deta he data analytics se hi wo insights data science ko multi hein Jo data scientist AI ko model bana ke deta he. Jis se bhtreen prediction expect karty hn.

    Ub isme agar data sahi se clean Nai hoga, to wrong data analysis hogi (Jo K chota Bhai data analytics Karta he)

    Agar wrong hogy data cleannor pre-process or wrong compiled then AI bichara pata Nai Kia Kia harkaten karega. ALLAH MAAF kare.

    To data science and AI K sath data analytics ka Hona but zaroori he.

    Too samjha na . Your quote sir.
    Thankyou sir.🤞

  30. Respected Sir! Amazing. It was such a fun and informative read! You’ve got a knack for making complex stuff like Data Science and AI sound like a piece of cake. Your cooking analogy for Data Science and the whole ‘masala’ thing for AI had me smiling the whole way through! And those real-life examples? Brilliant! Plus, thinking about the future possibilities you mentioned got me super excited. So, thanks for making it crystal clear that Data Science and AI are like the dynamic duo of tech, shaping our future.

  31. This is a great piece of Knowledge. I have learned the difference between Data Science and AI very firmly and confidently. Thank you for this amazing attempt.

  32. Sir i think Urdu kay lehaz say ye sentence ghalat ha. “machine ko samajh aata hai kuch tasks jo pehle sirf insaan kar paate the”. Is ki jaga machine ko samajh aatay hain kch aisay tasks jo pehle sirf insaan kar paate the. I think so.

  33. sir app ka blog buhot acha hai aur app nay buhot interesting way mai batiya aur sumjhiya k data analysis and AI kiya hai? Jis cheez k liye mai app ko appreciate karna chaun ge who yeah hai k app computer, technology ,AI, data science ,computer languages everything Urdu mai sheeka rehy ho. Blog app nay roman urdu mai bana ,MashaAllah and jazak Allah khair kasi ka is taraf dhiyan aya. Codanis website pe upload hony waly courses bhe urdu mai hain. yeah bari bait hai is say humari nation taraki kary ge .English kitni he acha kyon na ho jo bait app apni zuban mai sumajh sakty aur apny demag mai fix kar sakty who foreign language mai nahi kar sakty. So thanks sir Aammar thanks for YouTube channel, thanks for making Codanis website for different courses. May Allah bless you and ur team for this effort. And one request in future more and more people will be willing to work with you and will want to upload there courses on your website please make sure that content they are providing is up to the mark and match the standard of the Brand CODANICS. Sumjhy nahi sumjhy? hahaha
    All the best and jazak Allah khair and I hope and wish our youth will get benefit from it. Greebon ka coursera inshaAllah hum sub ko humary Mulak ko humari naslon ko sub say ameer aur kamyab baniye ge insAllah and Ameen.

  34. Data analysis focuses on examining and interpreting data to uncover patterns and insights, typically using traditional statistical methods. Data science, on the other hand, is a broader field that combines statistics, programming, and machine learning to extract insights, build models, and make predictions. Data analysis is more focused on the present and past, while data science incorporates predictive modeling for future projections. Data analysis primarily deals with analyzing existing data sets, while data science involves the entire data lifecycle, from acquisition to visualization.

  35. I wanted to take a moment to let you know how much I enjoy your blog. Your content is consistently engaging and informative, making it a must-read for me. I appreciate the unique perspective and insights you bring to your topics, which sets your blog apart from the rest. Your writing style is both captivating and easy to follow, making it a pleasure to consume your content. I find myself eagerly looking forward to each new post, as your blog has become a valuable source of knowledge and entertainment for me. Your dedication to providing quality information is truly commendable, and I’m grateful for the effort you put into maintaining your blog. Keep up the fantastic work, as your blog has undoubtedly earned a loyal reader in me. Thank you for sharing your passion and expertise through your writing

  36. اللہ کریم آپ کو لمبی عمر عطا فرماۓ اور وہ بھی عافیت کے ساتھ آمین

  37. Ab sahi samj ayee .thanks sir Allah bless you or ap asiay hee seikhty rahain. ameeen feel pride i am yours student.

  38. Thankyou and Very nice real-world examples. Kindly one request make it in English or in Urdu Alphabets (written sentences) it will be more understandable. JazakAllah

  39. Types Of AI :

    There Are 7 Types of Ai

    1. Narrow Ai

    2. General Ai

    3. Strong Ai

    4. Reactive Machines

    5. Limited Memory

    6. Theory Of Mind

    7. Self Awareness

    What Is Difference Between DA And DS

    Data scientist is a person who understand client business and data problem. He understand the data from a business point of view . His work is to give the most accurate predictions . A data scientist fosters decision-making in the company

    Data analyst is person who handle only client data deals with data manipulation , report creation , he deals with technicality of data . He will not understand business problems . Data analyst is the basis level of data science

  40. Assignment one:::

    (Types Of Learning In Artificial Intelligence)
    Artificial Narrow Intelligence
    Artificial General Intelligence
    Artificial Super Intelligence

    Types Of AI
    Reactive Machines AI
    Limited Memory AI
    Theory Of Mind AI
    Self-aware AI

    Artificial Intelligence (AI) has several subsets, i.e:
    Machine Learning
    Deep Learning
    Natural Language processing
    Expert System
    Robotics

    Assignment 2:::
    (Data Science vs Data Analytics)

    Data analysts examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions.

    Data scientists, on the other hand, design and construct new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis.

    Working in Data Analytics
    The responsibility of data analysts can vary across industries and companies, but fundamentally, data analysts utilize data to draw meaningful insights and solve problems. They analyze well-defined sets of data using an arsenal of different tools to answer tangible business needs: e.g. why sales dropped in a certain quarter, why a marketing campaign fared better in certain regions, how internal attrition affects revenue, etc.

    Data analysts have a range of fields and titles, including (but not limited to) database analyst, business analyst, market research analyst, sales analyst, financial analyst, marketing analyst, advertising analyst, customer success analyst, operations analyst, pricing analyst, and international strategy analyst. The best data analysts have both technical expertise and the ability to communicate quantitative findings to non-technical colleagues or clients.

    Skills and Tools
    Top data analyst skills include data mining/data warehouse, data modeling, R or SAS, SQL, statistical analysis, database management & reporting, and data analysis.

    Working in Data Science
    Data scientists, on the other hand, estimate the unknown by asking questions, writing algorithms, and building statistical models. The main difference between a data analyst and a data scientist is heavy coding. Data scientists can arrange undefined sets of data using multiple tools at the same time, and build their own automation systems and frameworks.

    Skills and Tools
    These include machine learning, software development, Hadoop, Java, data mining/data warehouse, data analysis, python, and object-oriented programming

    Roles and Responsibilities
    Data scientists are typically tasked with designing data modeling processes, as well as creating algorithms and predictive models to extract the information needed by an organization to solve complex problems.

    Assignment 3:::

    (LLM details)

    top 12,

    1. GPT-4 (OpenAI)
    – Feature: Multimodal, improved factuality
    – Fees: $20 for ChatGPT Plus
    – Cost: Paid

    2. Cohere
    – Feature: Enterprise-focused, accuracy
    – Fees: $15 per 1 million tokens
    – Cost: Paid

    3. Claude v1 (Anthropic)
    – Feature: High performance, 100k token context
    – Fees: Not specified
    – Cost: Not specified

    4. PaLM 2 (Bison-001, Google)
    – Feature: Multilingual, commonsense reasoning
    – Fees: Not specified
    – Cost: Not specified

    5. LLaMA (Meta)
    – Feature: Open-source, research use
    – Fees: Free for research
    – Cost: No cost

    6. Vicuna 33B (LMSYS)
    – Feature: 33B parameter model
    – Fees: Free
    – Cost: No cost

    7. Guanaco-65B (Open-source)
    – Feature: Fine-tuned performance
    – Fees: Free
    – Cost: No cost

    8. WizardLM
    – Feature: Complex instruction following
    – Fees: Free
    – Cost: No cost

    9. 30B-Lazarus (CalderaAI)
    – Feature: Improved benchmark performance
    – Fees: Free
    – Cost: No cost

    10. MPT-30B (Mosaic ML)
    – Feature: Open-source, 8K token context
    – Fees: Free
    – Cost: No cost

    11. Falcon (TII)
    – Feature: Open-source
    – Fees: Free for commercial use
    – Cost: No cost

    12. GPT-3.5 (OpenAI)
    – Feature: General-purpose, fast response
    – Fees: Free
    – Cost: No cost .

  41. Sir main B’s data science karraha hooo.
    Sir university main aisa nahi sakate jaise AP mehnaat karte hooo.
    Inshallah 6 months main data scientist banna hiii to hain.
    Sir❤️,Allah AP ki omer main barket dhaal dain.

  42. Understands,

    ma akhir me yahi kahongi k ap ne hmaray lie itni mehnat ki , Allah Pak apki dil ki har hajat pori kre amin.

  43. Ma Sha Allah Aap na bohat slees andaz ma aik complex relation ko bayan kar diya. Allah karay zor-e-bayan aur ziada

  44. کیا کہوں کیا نا کہوں ، ایک تو بندہ ناچیز خود فیصل آباد سے ہے، پھر میں خود خوش خوراک ہوں، ہر بات میں مثال دینا میرا مشہور ھے اور مثال میں 90 فیصد کھانے پینے کی مثال۔ہوتی ھے، پھر مجھے پیار سے دوست iffi google بھی کہتے ہیں

    اور ہتھے چڑھ گئے ہیں جناب بابا جی سرکار کے، بھئی جسکو کہتے ہیں ،، سواد آ گیا بادشاہو ،، کمال ترین سمجھایا بلکہ ڈرل مشین سے اندر پہنچا دیا ایسا کہ اب نا نکلے گا کبھی

    اللہ آپکو خوش رکھے ، بہت بے جھجک سیدھی بات نو بکواس والا دبنگ انداز

    اللہ آپکو مزید ترقی دے

  45. Kahan thy aap, kion na main aap ko dhoond pai. Meri frequency py chalny wala Meri frequency sy door tha, pr ab chalen gy asani sy is phar py charhny k leay sedhy rasty pr….
    Maza he aa gaya masalydar mazy dar chatpaty andaz main wo seekha Jo aam tor py nendia pur ki gari main bitha k khud kahen agy nikal jata hy….
    Jazak’Allah Ammar Bhai

  46. Kahan thy aap, kion na main aap ko dhoond pai. Meri frequency py chalny wala Meri frequency sy door tha, pr ab chalen gy asani sy is phar py charhny k leay sedhy rasty pr….
    Maza he aa gaya masalydar mazy dar chatpaty andaz main wo seekha Jo aam tor py nendia pur ki gari main bitha k khud kahen agy nikal jata hy….
    Jazak’Allah Ammar Bhai

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