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8 hours ago · 1. Objective. In this competiton, we'll develop machine learning models to predict the "binding affinity" of small molecules to specific protein targets. It helps drug development. We'll predict which "drug-like small modecules" (chemicals) will bind to three possible protein targets. 2. Description.
8 hours ago · To become an AI engineer, you need a strong foundation in mathematics (linear algebra, calculus, probability), proficiency in programming (Python is preferred), and expertise in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of big data technologies (Hadoop, Spark) and cloud platforms (AWS, GCP, Azure) is ...
8 hours ago · 簡単な学習プロセスの流れ. コンペが始まった当初にデータのセットアップそしてLGBMを用いたベースラインモデルのトレーニングの流れを簡単に紹介したノートブックをKaggle上で公開しました。
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8 hours ago · The dataset chosen for this research was found on kaggle.com, uploaded under the name of Christian Vorhemus 6. No work has been done on this dataset before. The dataset consists of a total of 400 540×960 procedurally created images of medicine packaging on a conveyor belt.
8 hours ago · We used the code for Bidirectional LSTM (BiLSTM) model Footnote 2 based on Keras framework, as provided on the machine learning competition website Kaggle. When we applied the methodology to the IMDb text corpus data, we find that the best performance reaches 94.89% evaluation accuracy by 60k train and 15k valid set.
8 hours ago · アクロクエストテクノロジー株式会社（本社：神奈川県横浜市・代表取締役：新免流、以下、アクロクエスト）は、7月7日（日）に開催されたオフラインイベント『第61回 コンピュータビジョン勉強会＠関東（前編）』の『CVPR（Computer Vision and Pattern Recognition Conference）2024 論文読み会』で機械学習エンジニアでKaggle Grandmasterの山本大輝が発表に用いた資料を公開しました。
8 hours ago · Тем не менее, для выполнения первой версии нашего проекта и проведения тестов этого вполне достаточно. Ноутбук с кодом можно найти на kaggle.
