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100 Deep Learning Interview Questions and Answers for 2023

ProjectPro

Deep learning job interviews. Most beginners in the industry break out in a cold sweat at the mere thought of a machine learning or a deep learning job interview. How do I prepare for my upcoming deep learning job interview? What kind of deep learning interview questions they are going to ask me?

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The Rise of Unstructured Data

Cloudera

Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. months since 2012. Another area of work that will grow is data-centric model development of AI algorithms, which should complement the model-centric paradigm that has been dominant up to now.

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Fundamentals of Apache Spark

Knowledge Hut

Spark (and its RDD) was developed(earliest version as it’s seen today), in 2012, in response to limitations in the MapReduce cluster computing paradigm. E-commerce - Information about the real-time transaction can be passed to streaming clustering algorithms like alternating least squares or K-means clustering algorithm.

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How to Become a Data Engineer in 2024?

Knowledge Hut

Business Intelligence tools, therefore cannot process this vast spectrum of data alone, hence we need advanced algorithms and analytical tools to gather insights from these data. Data Modeling using multiple algorithms. What is the difference between Supervised and Unsupervised Learning? What is Data Science?

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Data Scientist Learning Path, Career Track & Roadmap for 2023

ProjectPro

The solution is devised by applying statistical algorithms called machine learning models, which assist in revealing hidden patterns in the data. Well-versed with applications of various machine learning and deep learning algorithms. When you get to implement those algorithms, mathematics becomes more fun.

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The History of Artificial Intelligence (AI): A Detailed Guide

Knowledge Hut

In addition to this, AI researchers also faced numerous challenges in implementing complex algorithms and models. By the end of 1993, there was a resurgence of Artificial Intelligence, as advancements in computing power were made, algorithms were improved, and a renewed focus on practical applications of AI was propelled.

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Top 12 Artificial Intelligence Platforms for 2023

Knowledge Hut

Ease of Use: A high-level API enables developers to rapidly construct and train ML models without being concerned with algorithmic details. Flexibility: It supports machine learning models ranging from linear regression to deep learning and is compatible with Python, C++, Java, PCs, servers, and mobile devices.