rizky aldino

software programmer, software engineer, webdeveloper, mobile developer, computer science and technology enthusiast @KurniyandaFitri

[rizky aldino @julakrizkycodes]

RF 😍

[Onno W. Purbo @onnowpurbo]

Buku IoT dengan Python Machine Learning, Data Analysis total 500++ halaman, 70% praktek, 30% teori. Silahkan di ambil di https://t.co/M80exWuSlR ... dalamnya ada buku Python untuk AI 500+ halaman juga

[rizky aldino @julakrizkycodes]

@onnowpurbo Buat buku IOT untuk umum pak,yg ada dasar elektronika yg komprehensif disertai matematika elektronika nya

[rizky aldino @julakrizkycodes]

@KucengTerbanggg Kalo keserang gimana?

[txt onlineshop @txtdarionlshop]

Jujur kenapa bapak2 selalu minta dibeliin kemeja alisannnn 😭
Se hype itu alisan di mata orang tua 😭

[rizky aldino @julakrizkycodes]

@Ans37035 @merapi_uncover Oh iya,saya juga denger sih dari teman2 yg jurusan itu waktu kuliah ktanya jurusan² itu emang suka plonco diluar kegiatan kampus, katanya sering tawuran juga antar jurusan .dulu sih waktu jaman kuliah tahun 2000 an,masih sampe skrng ya

[iii_chromatic @blue_berets7]

👇👇👇

[S.T.E.M Explorer @stemexplor]

What is algorithm?

[Volcaholic 🌋 @volcaholic1]

🇮🇩🚨 Major flooding in Balangan Regency, one of South Kalimantan's regencies in Indonesia.

Floodwaters have inundated residential areas in Sungsum and Gunung Batu Villages, Tebing Tinggi District, forcing residents to seek shelter on rooftops.

[Math Cafe @Riazi_Cafe_en]

Famous Mathematical Inequalities

[Kirk Borne @KirkDBorne]

Infographic - 40 Essential Formulas for Data Scientists

[Code Geek @codek_tv]

Mechanical Engineering Formulas

[Math Files @Math_files]

Coordinate Geometry Basics

[Code Geek @codek_tv]

Mechanical Engineering Formulas

[Daily Dose of Data Science @DailyDoseOfDS_]

A time-complexity cheat sheet of 10 ML algorithms:

What's the inference time-complexity of KMeans?

[Code Geek @codek_tv]

Use Math to Explain The Human

[tut_ml @tut_ml]

Best Statistics Courses- https://t.co/W98ExRD3bw

@KirkDBorne
@antgrasso
@ronald_vanloon
#MachineLearning #DeepLearning #BigData #Datascience #ML #HealthTech #DataVisualization #ArtificialInteligence #SoftwareEngineering #GenAI #deeplearning #ChatGPT #OpenAI #python #AI #keras #SQL #Statistics #AgenticAI #AIAgent

[kumparan @kumparan]

Singapura tengah mengalami gelombang PHK besar sepanjang 2025. Data Kementerian Perdagangan dan Industri (MTI) menunjukkan 19.800 pekerja terkena PHK dalam sembilan bulan, terutama dari tujuh sektor utama. 

Industri paling terdampak adalah properti (4.400 PHK) dan informasi & komunikasi (4.100 PHK), disusul professional services, retail trade, wholesale trade, education, dan food & beverage. Fenomena ini mencolok karena banyak terjadi di sektor-sektor dengan pekerja lokal dan ekspatriat berpenghasilan tinggi.

Sebaliknya, sektor dengan pertumbuhan tenaga kerja justru berada di level gaji rendah, seperti konstruksi dan pekerja migran domestik. Meskipun pemerintah mengklaim kebutuhan tenaga TI meningkat, praktiknya sektor informasi & komunikasi menyusut signifikan, termasuk kehilangan hampir 10.000 pekerja TI dalam dua tahun terakhir. 

Banyak dari mereka memang telah berpindah ke industri lain yang masih memerlukan keahlian TI, namun angka penurunan tenaga kerja tetap menandai tekanan di sektor bernilai tinggi.

Meski terjadi PHK besar di beberapa industri, tingkat pengangguran Singapura tetap rendah dan stabil, yakni 2 persen secara keseluruhan dan di bawah 3 persen untuk penduduk lokal. MTI juga mencatat hampir 30.000 lowongan baru pada kuartal III 2025, sehingga total peluang kerja mendekati 50.000 sepanjang tahun, meskipun sebagian besar diisi oleh non-penduduk.

📸: Dok. Shutterstock/Ilustrasi.

Follow WhatsApp Channel kumparan untuk dapat Informasi terpercaya dikirim langsung ke WhatsApp kamu. Ketik https://t.co/LTFgN0m78w di browser kamu sekarang, agar bisa share informasi tanpa ragu.⁠

#bisnisupdate #update #bisnis #oneliner #singapura #PHK #pekerja #pemutusanhubungankerja #industri #info #infoterkini #berita #beritaterkini #bicarafaktalewatberita #kumparan

[Kirk Borne @KirkDBorne]

Get "Mathematics of Machine Learning" here: https://t.co/07exFk5LqL by @TivadarDanka v/ @PacktDataML
—
Author’s GitHub: https://t.co/2ENjzhr35C
—
Here is my review:

𝗧𝗵𝗲 𝗦𝗲𝘁 𝗢𝗳 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 𝗧𝗵𝗮𝘁 𝗟𝗲𝗮𝗿𝗻 𝗙𝗿𝗼𝗺 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲

This massive book is incredible, with its comprehensive coverage of numerous fields of mathematics and their intersection with the world of AI, data science, and machine learning (AI+DSML). I remember the very first time that I encountered machine learning. This was 20+ years ago, and that was already after 20+ years of being drenched in advanced mathematics as an astrophysicist.

That first encounter of mine with ML was this definition: "Machine learning is the set of mathematical algorithms that learn from experience" (slightly paraphrased from the original quote by Tom Mitchell, CMU). That definition surprised me, confused me, motivated me, and changed the course of my career from astrophysics into AI+DSML.

This book by Tivadar Danka captures the full meaning of that definition. The book covers thoroughly the many areas and domains of mathematics through which patterns in data are detected, described, learned, and recognized - all for the benefit of powering ML and AI algorithms, applications, and aspirations.

This book will motivate you, surprise you, and inspire you in many ways, no matter what level of mathematics has (or has not) already propelled your career journey. There is room for all of us to grow.

This is a great book, worthy to sit on everyone's desktop, ready to help you explore and exploit the full set of mathematical algorithms that learn from experience.

The book is accompanied by a rich GitHub code repository of Jupyter notebooks. Learn by doing! Do by learning!

Disclosure: the publisher provided me with a free review copy of the book.