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Created on 14 Feb 2022.

Vaclav Kosar

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Vaclav Kosar

Explore this area for additional insights to learn and apply tomorrow.

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How to Create a Machine Learning Dataset

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Symbolic vs Connectionist Machine Learning

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Fill Versions From Python Environment

Script that fills in versions into your requirements file

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My month-long experience using this plant-based fiber ingredient.

Neural Network Pruning Explained

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Tokenization in Machine Learning Explained

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Embeddings in Machine Learning Explained

Embedding is a task specific lower dimensional vector representation of data like a word, image, document, or an user.

Multimodal Image-text Classification

Understand the top deep learning image and text classification models CMA-CLIP, CLIP, CoCa, and MMBT used in e-commerce.

Strong Static Typing vs Weak Dynamic Typing

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Transformer Embeddings and Tokenization

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Neural Data Compression

Lossless bit reduction with machine learning by minimizing cross-entropy. Examples: NNCP and TRACE models.

Understand Large Language Models like ChatGPT

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Obsolete Git Branch Remover Maven Plugin

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How To Boost Your Jog Morale Using Military Cadence And Run Farther

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GitFlow Incremental Builder - Speed up your multi-module Maven build

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Hamiltonians with constant spectral intervals and time-dependent perturbation

On quantum systems determined by time-dependent Hamilton operators. Family of quantum systems, whose Hamilton operators take form H(t) = H 0 + V (t), where V (t) is perturbation and H 0 is self-adjoint with pure-point spectrum and constant gaps between eigenvalues in spectrum σ(H 0 ).

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A summary and enhancement of existing literature regarding finite-dimensional quantum mechanics. In the later parts Feynman’s path summation is discussed.

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About Vaclav Kosar How many days left in this quarter? Twitter Bullet Points to Copy & Paste Averaging Stopwatch Privacy Policy

Vaclav Kosar

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