3-qism

Prezentatsiya uchun taqdim etilgan kompaniyalardan Starbucks ni tanladim, taxminan 16 soat vaqtimni Biznes Modelni, prezenatsiyani va nutqimni ustida ishlashga sarfladim.

Professional prezentatsiya qilishni o'rganib chiqdim, kiyinish, etika, mimikalar, qo'l harakatlari, prezentatsiyadagi ma'lumotlar joylashuvi va uning dizayni va albatta 5 daqiqa - juda qisqa vaqt ichida qanday qilib key info (eng asosiy kalit ma'lumotlarni) yetkazib berishga tayyorlandim.

Shuncha tayyorgarlikka qaramay albatta hayajon bo'ldi, navbatim 4 yoki 5 edi, ungacha chiqqanlarning xatolariga qaradim, qo'shimcha savollarga tayyorlandim. Ammo natija yomonmas, tayyorlanganim darajasida chiqish qildim deb o'ylayman.

Shu sabab muhim biznes uchrashuvlar va prezentatsiyalarga albatta professional darajda tayyorlanishni maslahat bergan bo'lardim.

Ba'zilar spontanniy o'tkazib yuboraman, menda o'xshaydi deyishligi mumkin, lekin tayyorgarlik ko'rgan shaxs kamida mas'uliyatli ekanligini namoyon eta oladi.

@ladybytes

4-qism

1 haftadan so'ng javoblar chiqdi, g'olib bo'ldim!

Chunki bu ajoyib imkoniyat, 2 yillik dastur, har 6 oyda ishtirokchi universitetlarda bo'lib o'tadi (May 2023 - Germaniya/Dresden, Oktabr 2023 - Iordaniya/Amman, Aprel 2024 - O'zbekiston/Toshkent, Noyabr 2024 - Germaniya/Myunxen), xalqaro tajribali professorlar va talabalar bilan fikr almashish va ular bilan bir jamoada yangi Tadbirkorlik sohasidagi Magistratura dasturini ishlab chiqish.

Yuqoridagi tajribalarim roppa rosa 1 yil oldin yuz bergandi. Mana endi Aprelda Germaniyadan va Iordaniyadan mehmonlarimiz universitetimizga keladi, 3-workshop ham boshlanadi. Tayyorgarlikni sekin boshlamoqdamiz proffesorlarimiz bilan.

Xulosa.

O'zingiz munosib bo'lgan imkoniyatlarga befarq bo'lmang, vaqt ajrating, harakat qiling va yangi tajribalar orttiring. Bu albatta sizga yoqadigan yaxshi dividendlar beradi!

@ladybytes

The Startup of You #book notes
1.

Each day presents an opportunity to learn more, do more, be more, grow more in our lives and careers. Keeping your career in permanent beta forces you to acknowledge that you have bugs, that there’s new development to do on yourself, that you will need to adapt and evolve. But it’s still a mind-set brimming with optimism because it celebrates the fact that you have the power to improve yourself and, as important, improve the world around you.

For anything desirable, there’s competition.

If you think you lack certain assets that would make you more competitive, don’t use it as an excuse. Start developing them. In the meantime, see how you can turn a weakness into a strength. For example, you may not see inexperience as an asset to highlight, but the flip side of inexperience tends to be energy, enthusiasm, and a willingness to work and hustle in order to learn.

Your aspirations shape what you do. But your aspirations are themselves shaped by your actions and experiences. You remake yourself as you grow and as the world changes. Your identity doesn’t get found. It emerges.

Should you follow a plan or stay flexible? Should you listen to your heart or listen to the market? The answer is both.

The choices they’re making are disciplined, not random.

Many people defer collecting full-time wages by spending twenty-three consecutive years in school. A high school dropout can make more money in the short run than the guy stuck studying chemistry. But in the long run, the logic goes, a person with a foundation of knowledge and skills will make more money and most likely live a more meaningful life. It’s true. And there’s a similar belief in start-ups: technology companies focus on learning over profitability in the early years to maximize revenue in the later years.

If you study the root causes of business disasters, over and over you’ll find [a] predisposition toward endeavors that offer immediate gratification.

You can develop great and important user interfaces, and Apple certainly did, but if customers don’t need or want the product, they won’t buy.

@ladybytes

The Startup of You #book notes
2.

The team you build is the company you build.

Behavior and beliefs are contagious: you easily “catch” the emotional state of your friends, imitate their actions, and absorb their values as your own.

Old-school “networkers” are transactional. They pursue relationships thinking only about what other people can do for them. And they’ll only network with people when they need something, like a job or new clients. Relationship builders, on the other hand, try to help other people first. They don’t keep score. They’re aware that many good deeds get reciprocated, but they’re not calculated about it. And they think about their relationships all the time, not just when they need something.

As you meet your friends and new people, shift from asking yourself the very natural question of “What’s in it for me?” and ask instead, “What’s in it for us?” All follows from that.

LinkedIn’s early marketing taglines was: YOUR NETWORK IS BIGGER THAN YOU THINK.

Whatever your priorities, nurture the network you’re building. Your professional life depends on your being smart and generous with the people you care about.

To cultivate, identify, and generate an opportunity takes ongoing investment.

Serendipity involves being alert to potential opportunity and acting on it.

The best way to ensure that lucky things happen is to make sure a lot of things happen. Make things happen, and in the long run, you’ll design your own serendipity, and make your own opportunities.

If you want to find out how resourceful you can be, shrink your budget. Move your deadlines up. See how you cope. This may make you more resilient to actual hardships that inevitably arise.

When it’s not clear how something will play out, many people avoid it altogether. But the biggest and best opportunities frequently are the ones with the most question marks. Don’t let uncertainty lull you into overestimating the risk.

Inoculating yourself to big risks is like inoculating yourself against the flu virus. By injecting a small bit of flu into your body in the form of a vaccination, you make a big flu outbreak survivable. By introducing regular volatility into your career, you make surprise survivable. You gain the “ability to absorb shocks gracefully.

If you don’t find risk, risk will find you.

People offer personalized, contextualized advice. Friends and acquaintances know your interests and can tailor their information and advice accordingly.

Instincts need nurturing. Potential needs realizing. You can take control of your life and apply entrepreneurial skills to whatever work you do—the question is, will you?

Invest in yourself, invest in your network, and invest in society. When you invest in all three, you have the best shot at reaching your highest professional potential. As important, you also have the best shot at changing the world.

The startup is You.

@ladybytes

Bugun Yakshanba.
Savol-javob qilamiz.

Today is Sunday.
Let's do AMA (Ask Me Anything)

http://t.me/anonaskbot?start=ladybytes

У тебя новое анонимное сообщение!

Salom yahshimisiz

Ai,ML uchun math qanchalik muhim qay darajada bilish kere

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Qaysi manbani qaramangki hamma joyda Math eng muhim va fundamental bilim hisoblanadi. Aynan AI va ML da Math eng ko'p ishlatiladi. Agarda shu sohalarda mutaxassis bo'lmoqchi bo'lsangiz, Linear Algebra, Calculus, Probability and Statistics, Operations Research, Numerical Methods ni o'rganishingiz kerak.

У тебя новое анонимное сообщение!

Masters qilasizmi agar qilsangiz qaysi universitetga va qaysi yo'nalish bo'yicha?

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https://news.1rj.ru/str/ladybytes/1022 bu yerda javob berganman.

У тебя новое анонимное сообщение!

IT ni qanday organishimni maslahat berasiz, artificial intelligence ayniqsa. Online resurslar yaxshimi yoki offline kurga borish yaxshiroq

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Hozirgi kunda IT ni onlayn o'rganish uchun resurslar juda ko'p va onlayn o'rganishning foydalari bisyor. Agar sizda hali self-study qilish va discipline kabi ko'nikmalar yo'q bo'lsa, oflayn kursni maslahat beraman, chunki unga investitsiya ajratasiz, borib kelish vaqtingiz ketadi, boshqa o'quvchilar bilan o'rganib, uyga vazifalarni vaqtida bajarasiz, bular sizga fanni o'rganish uchun qandaydir motiv berib turadi doimo.

AI yoki Data Science ni o'rganish uchun platformalar:

Coursera
KhanAcademy
Data Camp
Kaggle
Hugging Face
Sololearn
Geeks for Geeks
W3Schools

У тебя новое анонимное сообщение!

1. Kaggle expertmisiz?
2. O'z sohangiz bo'yicha freelancerlik qilib ko'rganmisiz? Upwork ga o'xshagan platformalarda.
3. Qaysi FAANG kompaniyaga ishga yoki internshipga topshirish uchun tayyorlanyapsiz? Qanday resurslardan foydalanyapsiz batafsizl aytip bersangiz iloji bo'lsa.

Raxmat

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1. Kaggle expert emasman, competition larda ham qatnashmaganman. Lekin Kaggle ni ko'p ishlataman dataset olish uchun, sample solution larni ko'rish va kurslari uchun.

2. Yo'q. Sababi bunga hali hafsala bilan harakat qilib ko'rmaganman.

3. Aynan qaysi gigant kompaniyaligi aniqmas, chunki job hunting jarayonida bir nechta variantlarni sinab ko'raman. Hozir esa ko'proq o'rganish jarayonidaman, mana bu roadmap asosida: https://habr.com/ru/articles/785064/

У тебя новое анонимное сообщение!

Data science ni qanaqa organganiz qaysi programming language va toollarni ishlatishiz(R Python SQL Power Bi Tablue) va projectlariz bormi bolsa portfolio korsataolasizmi hozir ishlisizmi qayerdadir data scientist bo'lib.

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Ko'pincha Python ishlataman. R, SQL, Power BI larni universitet va qo'shimcha kurslarda o'rganganman.

Professional ma'lumot olish uchun LinkedIn: https://www.linkedin.com/in/marjona-rakhmatillaeva/

У тебя новое анонимное сообщение!

New Uzbekistan da AI robotics boyicha oqiyman, darsdan tashqari soha boyicha nima maslahat bergan bolar edingiz. Offline kurslar yoki community lar

↩️ Свайпни для ответа.

Darsdan tashqari o'z sohangiz bo'yicha yanada ko'proq o'rganing.
Onlayn AI ni o'rganish bo'yicha platformalar haqida yuqorida ma'lumot qoldirdim.

Hackathon larda ham aktiv qatnashsangiz bo'ladi, chunki AI in Robotics more hands-on learning experience.

AI tools

Kategoriyalashgan SI (sun'iy intellekt) mahsulotlari.

Shaxsan ChatGPT, Midjourney, Perplexity, Grammarly larni ishlatib ko'rganman.

Prompt Engineering haqida ozgina o'rganib keyin bu platformalarni ishlatsa, haqiqatda yordam beradi. Aksi bo'lsa, 1 ishingiz 2 ta bo'lib qolish xavfi bor.

Prompt Engineering haqida yaxshi maqolaga LINK

@ladybytes

🇶🇦Qatarga sayohatim

Huawei kompaniyasining “Seeds for the Future” dasturining finalchisi sifatida 2023-yil sentabr oyida to‘liq moliyalashtirilgan grant bilan Qatarga bordim va Tech4Good akseleratsiyasida qatnashdim.

Borishimiz bilan Dohadagi JW Marriott mehmonxonasiga joylashdik va Qatar National Convention Centre, Qatar Olympic and Sports Museum, National Museum of Qatar, Souq Waqif, Katara, Lusail Stadium, the Pearl Island, University of Doha for Science & Technology, and the Ministry of Education and Higher Education, Ministry of Communication and Information Technology, Education City kabi mashhur joylarga tashrif buyurdik, bir qancha xalqaro liderlar, mutaxassislar, olimlar va biznes egalari bilan uchrashdik.

Huawei Seeds Academyda AI, 5.5G texnologiyalari, Cloud Computing, Digital Power haqida o'rgandik.

Loyihamizni rivojlantirish davomida research, personas, problem analysis, market research, idea prioritization, hypothesis, business models, and prototypes ustida ishladik.

@ladybytes

Data-driven Startups

VentureRadar ma'lumotlariga qaraganda, top data-driven startup lar Amerika va Buyuk Britaniyada joylashgan va ko'pchiligi 2019-yildan buyon faoliyat yuritmoqda ekan.

Bundan eng ko'p dataga ega va undan foydalanish qobiliyati yuqori va bunga talab ko'p bo'lgan davlatlar va bunday data ning haqiqiy revolyutsiyasi boshlangan paytlarni anglab olish mumkin.

Ro'yxatdagi kompaniyalarning ko'pchiligi xususiy va turli ijtimoiy sohalarda faoliyat yuritishmoqda: sog'lik, atrof-muhit, bizneslarga xizmat ko'rsatish/avtomatlashtirish, fintech, ventures.

Data - bunday stratuplarning biznes strategiyasining asosiy qismidir.

Data-driven Startup haqida maqolaga LINK

@ladybytes

Data Science brief roadmap

1. Matematika - hayotimizda eng muhim fanlardan biridir, AI va DS sohalarida ham matematika fundamental asosdir. Undagi qoidalar, teoremalar orqali muammolarga tez va samarali yechimlar beriladi.

2. Coding - Python, R, SQL kabi data bilan ishlashga mo'ljallangan tillarni bilish matematika bilan ishlagan masalarni implement/amaliyotga taqdim qilish imkonini beradi.

Va mana shu 2 asos orqali boshqa murakkabroq tushuncha va bilimlarni egallab ushbu sohada muvaffaqiyat qozonsa bo'ladi.

Keyingi qadamlar albatta, Statistika va Taxminiylik, Machine Learning va bu sohaning ichida Feature Engieering, Deep Learning, NLP, ma'lumotlarni diagrammalar orqali tushuntirib berish.

Bu soha hozirgi kunda hype/trend bo'laganligi uchun tanlamang, agar siz haqiqatda matematika va dasturlashga qiziqsangiz, va ayniqsa matematikada yoshligingizdan yaxshi o'qigan bo'lsangiz kiring, aks holda qiyin mavzular o'tilganda qiynalib, qiziqishingiz so'nib, vaqtingizni bekorga sarflashingiz mumkin.

@ladybytes

Ma'lumotlar tahlilida ba'zi terminlar:

Metric- bu ma'lum bir biznes o'z oldiga qo'ygan maqsadlariga erishishi uchun ma'lumotning ma'lum bir bo'lakchasi. Ya'ni katta ma'lumotlar shu kichik metrikalar yordamida o'lchanadi.

Reports(hisobotlar)- qisqa yoki uzoq muddatli ma'lumotlarni bir kichik formatda taqdim qilishga kerak.

Mumammo domeni- muammolar ta'sir qilayotgan ba'zi bir tahlillarni o'z ichiga oladi.

SOW(scope of work)- loyiha doirasida bajariladigan ishlar.

@ladybytes

Programming jargons

Munge/Munging/Wrangling
Tartibsiz data ni tartibga keltirish jarayoni

Pseudo code
Code ga óxshagan algorithm

Syntactic sugar
Yangi xususiyat qóshmaydi ammo nimanidir osonlashtiradi/qulaylashtiradi

@ladybytes

I am LinkedIn's Top Statistics Voice!🥳

I got this badge a couple of days ago.

Are you interested in how I earned this? Should I make a post about it?

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