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15 Deep Learning Projects Ideas for Beginners to Practice 2023

ProjectPro

As a beginner in the data industry, it can be overwhelming to step into AI and deep learning. After taking a deep learning course or two, you might find yourself getting stuck on how to proceed. Is it difficult to build deep learning models? Why build deep learning projects?

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Keras vs Tensorflow - Deep Learning Frameworks Battle Royale

ProjectPro

Machine Learning and Deep Learning have experienced unusual tours from bust to boom from the last decade. But when it comes to large data sets, determining insights from them through deep learning algorithms and mining them becomes tricky. There are a lot of deep learning frameworks available.

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15 Data Mining Projects Ideas with Source Code for Beginners

ProjectPro

In this blog, you will find a list of interesting data mining projects that beginners and professionals can use. Please don’t think twice about scrolling down if you are looking for data mining projects ideas with source code. The dataset has three files, namely features_data, sales_data, and stores_data.

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Best Data Science Books for Beginners and Experienced [2024]

Knowledge Hut

Some of the reasons why this book is ideal for a beginner-level data science student are listed below:- This book can provide a holistic guide for beginner-level students in data science with detailed information about Data Analytics with Python. It offers an in-depth explanation of finding solutions to deep learning problems.

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User Action Sequence Modeling for Pinterest Ads Engagement Modeling

Pinterest Engineering

To make the ads Click-through rate (CTR) predictions more personalized, our team has adopted users’ real time behavior histories and applied deep learning algorithms to recommend appropriate ads to users. Feature Attributes: Besides what sequence features to build, it is also important to focus on what to include in the sequence.

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Hands-On Machine Learning with Scikit-Learn and TensorFlow

ProjectPro

Additionally, Scikit-Learn offers different metrics to test the efficiency of different algorithms. When using deep learning algorithms , most people believe that they need highly advanced and expensive computer systems. But this problem was solved to an extent by the introduction of a deep learning framework, TensorFlow.

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The Top Data Analytics and Science Influencers and Content Creators on LinkedIn

Databand.ai

Read on for the top 25 data analytics and science connections on LinkedIn so you can easily find the information you’re looking for and fill your homepage with meaningful content. Sarah has a growing newsletter read by 4k+ people covering the topics of data, tech, and product.