German Time and Frequency Expressions: 10 Essential Combinations
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Master 10 essential German time and frequency combinations that native speakers use daily. Learn formal vs. informal usage, plus bonus comparative patterns. Read more
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Learning Deutsch by learning Phrases and Sentences
When it comes to language learning, focusing on phrases and sentences rather than isolated words can make a significa...
GPTopic: Dynamic and Interactive Topic Representations
Authors: Arik Reuter, Anton Thielmann, Christoph Weisser, Sebastian Fischer, Benjamin Säfken Link: https://arxiv.o...
Youtube: Everything I Learned at Stanford Business School in 28 Minutes
Links: Channel: jayhoovy Video: https://www.youtube.com/watch?v=vIkRbAvaQjs&t=49sThese are my notes from an exc...
TabR
This article introduces the TabR model, a retrieval-augmented model designed for tabular data. It is part of a series...
The Myth of Effortless Success
People want to be rich. They want to have a comfortable living. A bountiful life. They want cars, houses, land, boats...
Are you Lazy, but Ambitious
Ask yourself if the following three statement are true for you or not? I fantasize more than I act. I consume ten t...
Reflecting on Actions: The Key to Learning
We do not learn from experience. We learn from reflecting on those experiences. ...
Path to Deeper Understanding, one Mini-Essay at a time
Will mini-essays make me a better research paper author? Will it make me a better thinker? Will it make me a better p...
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2025
How to Practice German Solo: Transform One Simple Sentence into Complex Grammar
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Learn how to practice German by yourself using sentence transformation techniques. Master word order, tenses, and modal verbs through progressive complexity building. Read more
Learning Deutsch by learning Phrases and Sentences
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When it comes to language learning, focusing on phrases and sentences rather than isolated words can make a significant difference. While memorizing vocabulary lists might seem like a straightforward approach, it often leaves learners struggling to use those words in real-life situations. Words alone rarely convey complete meaning; context is...
Adverbien - Adverbs in German
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Learn German adverbs: types, formation, placement, and usage. Essential words for describing how, when, where, and why actions happen. Read more
Personalpronomen - Personal Pronouns in German
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Learn German personal pronouns in all cases: Nominativ, Akkusativ, and Dativ. Essential pronouns for replacing nouns and building fluent sentences. Read more
Der Dativ - The Dative Case in German
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Learn the German Dative case: indirect objects, articles, prepositions, Wechselpräpositionen, and Dativ verbs. Essential for German grammar mastery. Read more
German: When and If - Complete Guide
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This lesson covers the German equivalents of ‘when’ and ‘if’ in English, which are common trouble areas for German learners, especially English speakers. Read more
Trennbare und Untrennbare Verben - Separable and Inseparable Verbs
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Learn German separable and inseparable verbs: prefixes, word order, and usage patterns. Essential for understanding German sentence structure. Read more
Modal verben - Modal Verbs in German
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Learn German modal verbs: können, müssen, wollen, sollen, dürfen, mögen, and möchten. Essential verbs for expressing ability, necessity, and desire. Read more
Der Akkusativ - The Accusative Case in German
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Learn the German Accusative case: direct objects, articles, pronouns, and when to use Akkusativ. Essential grammar for German sentence structure. Read more
Zeit auf Deutsch - Time in German
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Learn time expressions in German: telling time, days of the week, months, seasons, and useful time phrases for daily conversation. Read more
Fragen auf Deutsch - Questions in German
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Learn how to ask questions in German: yes/no questions, W-questions, and question formation rules. Essential for German conversation. Read more
Verben und Verb Konjugations
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Learn German verb conjugations and how verbs change according to the subject. Essential foundation for German sentence structure. Read more
Deutsch Day 16: Compound Nouns
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📘 MASTER PLAN: German Compound Noun Vocabulary Expansion 🔶 PHASE 1: Master the Most Useful Base Nouns (Top 50) These are the “root” or “core” nouns you will see in countless combinations. Noun Meaning Article Example Compound | # | Noun | Meaning | Article | Example Compound | |...
Possessive Articles in Nominative
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Learn how to use possessive articles (my, your, his, her, etc.) in the nominative case in German. Essential grammar for expressing ownership and relationships. Read more
Personal Pronomen in Nominative
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Nominative pronouns are personal pronouns that replace the subject in a sentence. They show who or what is doing something, e.g., I am tired. Deutsch: Pronomen im Nominativ sind Personalpronomen, die das Subjekt im Satz ersetzen. Sie zeigen, wer oder was etwas tut, z. B. Ich bin müde. Singular Plural...
Deutsch Day 11: Ja/Nein Frage
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The structure for Yes/No question (Ja/Nein Frage) in Deutsch is as follows: ` Verb (konjugiert) + Subjekt + Rest` For Example: Deutsch Englisch Bist du müde? Are you tired? Hast du ein Buch? Do you have a book? Kommt er aus Spanien? Does he come from Spain? Geht sie zur...
Nominative in Deutsch
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German/Deutsch is divided into different cases such that it would be easier to build on the language slowly but surely. It adds different parts required for fluency–or at least be able to make some sentences. The cases are as follows: Nominative: subject of a sentence and with nominative verbs (sein,...
Deutsch Day 7: Jemanden kenenlernen
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Wie heißen Sie? (Formall) / Wie heißt du? (Informall) Ich heiße Bishnu. Wie ist ihr Familienname? (Formall) / Wie ist dein Familienname? (Informall) Mein Familienname ist Khadka. Woher kommen sie? (Formall) / Woher kommst du? (Informall) Ich komme aus Nepal. Wo Wohnen sie? (Formall) / Wo wohnst du? (Informall) Ich...
Example Deutsch Articles
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This blog post provides beginner-friendly (A1 level) German vocabulary and example sentences grouped by common topics such as travel, family, health, media, and everyday life. Each section includes color-coded tables for key nouns and practical sentences with English translations, helping learners build essential language skills for real-life situations. Read more
die Artikle im Nominative
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Nomen Noun is called Nomen in German and it is always written with it’s first letter capital. This might not be intuitive for an English speaker but it is the rule. Also, in most of the case written with artikel. The artikel depends on the case if it is Nominative,...
Sich vorstellen
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(INTRODUCTION) Name Ich heiße Bishnu. Ich bin Bishnu. Mein Name ist Khadka Bishnu. First and Last Name Mein Familienname ist Khadka. Mein Vorname ist Bishnu. Mein Nachname ist Khadka. Land/Lände (Where are you from?) Ich komme aus Nepal. Ich wohne in Budhanilkantha, Kathmandu. Sprache/Sprachen Ich spreche Nepalesisch, Englisch, und Deutsch....
Wie geht’s
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In Deutsh, there are two ways of talking. Formal (formell) Informal (informell) 😁 Positive formell (Formal) informell (Informal) Wie geht es Ihnen? Mir geht es ________. gut sher gut super wunderbar ausgezeichnet toll prima Wie geht es dir? Mir geht es ________. gut sehr gut super wunderbar ausgezeichnet toll prima...
Deutsch Day 4: Slangs
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Common Phrases Danke - Thanks Danke Schön - Thank you so much Vielen Dank - Thank you very much Bitte - Please Entschuldigung - Excuse me Entschuldigen sie - Excuse me Es tut mir leid - I am sorry noch einmal bitte - once again please einen moment bitte -...
Die Zahlen
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Die Zahlen 0 to 12 in Deutsch 0 = null 1 = eins 2 = zwei 3 = drie 4 = vier 5 = fünf 6 = sechs 7 = sieben 8 = acht 9 = neun 10 = zehn 11 = elf 12 = zwölf 13-19 in Deutsch 13...
Deutsch Alphabets
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German Alphabet with Nepali Pronunciation German Letter Nepali उच्चारण (Pronunciation) a आ (ā) b बे (be) c च्से (tse) d डे (ḍe) e ए (e) f एफ (ef) g गे (ge) h हाह (hāh) i ई (ī) j यट् (yaṭ) k का (kā) l एल (el) m एम (em) n...
Deutsch #1
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Time of the day greetings Guten Morgen (Good Morning) 🌄 Guten Tag (Good Afternoon) ☀️ Guten Abend (Good Evening) 🌆 Gute Nacht (Good Night) 🌙 Others Tschüß/Ciao (bye) 👋 bis morgen (see you tomorrow) Auf wiedershen (see you again, but said to someone you often meet) Auf wiederhören (see you...
Chapter 5 (Notes)
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5.2.2. Regression Metrics Regression refers to a predictive modeling problem that involves predicting a continuous (numeric) value rather than a class label. It is fundamentally different from classification tasks, which involve discrete labels or categories. Regression models are common in real-world tasks such as: Estimating prices (houses, cars, electronics) Predicting...
GPTopic: Dynamic and Interactive Topic Representations
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This paper presents GPTopic, a novel approach combining embeddings, dimensionality reduction, clustering, and LLMs for dynamic and interactive topic modeling with ChatGPT integration. Read more
Chapter Notes: LLM Engineer’s Handbook - RAG Feature Pipeline
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Book: Amazon link Chapter 4: RAG Feature Pipeline Retrieval-augmented generation (RAG) Feature Pipeline: Qdrant vector DB for online serving and ZenML artifacts for offline training. Naive RAG Chunking Embedding Vector DBs Chapter teaches you what RAG is and how to implement it. The main sections of this chapter are: Understanding...
LLM Blogs to write in the future
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To improve the retrieval of the RAG system, you usually need to fine-tune the pre-trained LLM. However, it can also be done by using Instructor models. https://huggingface.co/hkunlp/instructor-xl
Why Triton is gaining popularity?
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References: Triton In a typical machine learning(ML) work flow, we program the feature production, training, and inference. We do that mostly using frameworks to write high-level program and not have to manage the low level details required for ML or deep learning (DL). The pytorch or tensorflow (frameworks) calls the...
Dynamic Arrays
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Resources: Video: Dynamic Arrays Link: The Simple and Elegant Idea behind Efficient Dynamic Arrays Link: What if you had to invent a dynamic array? Dynamic Array should be able to change the shape of the array dynamically. should be able to add/delete element fast should be able to insert/delete a...
Array and Hashing
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Prerequisites: Dynamic Arrays Hash Usage Hash Implementation Prefix Sums
Book Notes: LLM Engineer’s Handbook
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Book: Amazon link Notes An LLM engineer should have the knowledge in the following: Data preparation Fine-tune LLM Inference Optimization Product Deployment (MLOps) What the book will teach: Data Engineering Supervised Fine-tuning Model Evaluation Inference Optimization RAG For every project there must be planning. And the three planning steps the...
Youtube: Everything I Learned at Stanford Business School in 28 Minutes
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My notes from an excellent YouTube video covering key business concepts taught at Stanford Business School, condensed into 28 minutes of actionable insights. Read more
A Survey on DeepTabular Learning
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Authors: SHRIYANK SOMVANSHI, SUBASISH DAS, SYED AAQIB JAVED,GIAN ANTARIKSA, AHMED HOSSAIN Link: https://arxiv.org/pdf/2410.12034 code: My initial thoughts and what I would like to get out of this? Can DL methods outperform Decision Tree based models on tabular data? What is the common reason between different models which works well for...
Hyperparamter Tuning
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A comprehensive guide to hyperparameter tuning in data science, covering Optuna and other optimization techniques for improving machine learning model performance. Read more
The StatQuest Illustrated Guide to Machine Learning!!!
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Author: Josh Starmer, Ph.D. Book Amazon link: https://www.amazon.com/dp/B0BLM4TLPY Youtube link: https://www.youtube.com/@statquest Chapter 1 : Fundamental Concepts of ML What is Machine Learning (ML)? According to the author, ML is a collection of tools and techniques that transforms data into decisions. Basically, ML is about 2 things: Classifying things (Classification) and...
Why do tree-based models still outperform deep learning tabular data?
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Authors: Léo Grinsztajn, Edouard Oyallon, Gaël Varoquaux Link: https://arxiv.org/pdf/2207.08815 code: https://github.com/LeoGrin/tabular-benchmark My initial thoughts and what I would like to get out of this? What makes it difficult for learning tabular-data for deep-learning algorithms or even Neural Networks? What is the correct way for benchmarking? Notes on the paper There...
TabR
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This article introduces the TabR model, a retrieval-augmented model designed for tabular data. It is part of a series on tabular deep learning using the Mambular library. Read more
Are you Lazy, but Ambitious
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Ask yourself if the following three statement are true for you or not? I fantasize more than I act. I consume ten times more than I produce. I constantly delay Day#1. If any two of the three are true for you, then you are indeed Lazy but Ambitious. Now, we...
The Myth of Effortless Success
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People want to be rich. They want to have a comfortable living. A bountiful life. They want cars, houses, land, boats, yachts, and much more. They want to be successful. They want to be praised for their excellent work. They want to be recognized, appreciated for their work. They want...
Das Partizip Perfekt: How to Form German Past Participles
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Master the formation of German past participles (Partizip Perfekt) for regular and irregular verbs with clear rules and examples. Read more
2024
Reflecting on Actions: The Key to Learning
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We do not learn from experience. We learn from reflecting on those experiences. -John Dewey Learning is defined as the modification in behavior through experience. So if you approach the same problem differently from your previous attempt, then we can say you have learned something. This is why the quote...
Path to Deeper Understanding, one Mini-Essay at a time
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Will mini-essays make me a better research paper author? Will it make me a better thinker? Will it make me a better person? These are all questions that I want to find the answer to. May be we will find out in a few year. A deeper understanding of your...
Good Vibes Only
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If you think positive, positive things happen to you and if you think negative, negative things happen to you. This is the law of attraction. But is it always possible to stay positive? Is it possible to think positively when everything around you is going wrong? When you try your...