Knowledge Hut

JULY 28, 2023

On that note, let's understand the difference between Machine Learning and Deep Learning. Below is a thorough article on Machine Learning vs Deep Learning. So, everything Deep Learning is also Machine Learning and AI but the inverse is not true. What is Deep Learning?

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KDnuggets

NOVEMBER 22, 2021

In this article, we take a look at their on-device counterparts PyTorch Mobile and TensorFlow Lite and examine them more deeply from the perspective of someone who wishes to develop and deploy models for use on mobile platforms. PyTorch and TensorFlow are the two leading AI/ML Frameworks.

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Deep Learning 140

KDnuggets

JUNE 3, 2022

Check out a this article for a better understanding of activation functions.

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Cloudera

APRIL 19, 2021

In the next sections, We’ll provide you with three easy ways data science teams can get started with GPUs for powering deep learning models in CML, and demonstrate one of the options to get you started. For more advanced problems and with more complex deep learning models, more GPUs maybe needed.

Deep Learning 72

Deep Learning Machine Learning Algorithm Data Science 72

KDnuggets

SEPTEMBER 9, 2019

In this article, we’ll look at research and model architectures that have been written and developed to do just that using deep learning.

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KDnuggets

NOVEMBER 12, 2021

The PyTorch Deep Learning framework has a C++ API for use on mobile platforms. This article shows an end-to-end demo of how to write a simple C++ application with Deep Learning capabilities using the PyTorch C++ API such that the same code can be built for use on mobile platforms (both Android and iOS).

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U-Next

SEPTEMBER 22, 2022

This is much better than deep learning. . In this administer learning issue, a set of pre-labeled training data is provided to a Machine Learning algorithm. Today, we will investigate this widely used problem using the Kera Open-Source Library for Deep Learning. . Image Reconstruction .

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KDnuggets

JUNE 19, 2023

In this article we will learn about its definition, differences and how to calculate FLOPs and MACs using Python packages.

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ProjectPro

JULY 23, 2021

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. Image Source: [link] Nowadays, Deep Learning is almost everywhere.

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ProjectPro

JULY 7, 2021

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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ProjectPro

JULY 9, 2021

All thanks to deep learning - the incredibly intimidating area of data science. This new domain of deep learning methods is inspired by the functioning of neural networks in the human brain. In that case, this article is for you. What is Deep Learning?

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Zalando Engineering

MARCH 21, 2017

For example, we want to predict a consumer's interest in ordering selected fashion articles. Deep learning approaches have many advantages over traditional techniques, making them a great fit for our requirements. We have developed a deep learning system based on RNNs and put it into production.

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KDnuggets

NOVEMBER 22, 2021

In this article, we take a look at their on-device counterparts PyTorch Mobile and TensorFlow Lite and examine them more deeply from the perspective of someone who wishes to develop and deploy models for use on mobile platforms. PyTorch and TensorFlow are the two leading AI/ML Frameworks.

Deep Learning 54

Deep Learning 54

KDnuggets

MARCH 8, 2024

This article explains the concept of regularization and its significance in machine learning and deep learning. We have discussed how regularization can be used to enhance the performance of linear models, as well as how it can be applied to improve the performance of deep learning models.

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IT Deep Learning Machine Learning 91

Zalando Engineering

NOVEMBER 7, 2018

A real-life example of how to train a Deep Learning model on an AWS Spot Instance using Spotty Spotty is a tool that simplifies training of Deep Learning models on AWS. Conclusion Using Spotty is a convenient way to train Deep Learning models on AWS Spot Instances. Why will you ❤️this tool?

Deep Learning 40

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KDnuggets

JANUARY 21, 2020

This article will demonstrate explainability on the decisions made by LightGBM and Keras models in classifying a transaction for fraudulence, using two state of the art open source explainability techniques, LIME and SHAP.

Deep Learning 92

Deep Learning 92

ProjectPro

APRIL 6, 2021

As you begin to read this article on Image Classification, I want you to look around and observe the things that you can see. Machines learning algorithms on the other hand, while classifying images face these challenges, and Image Classification becomes an exciting problem for us to solve.

Deep Learning 40

Deep Learning Python Medical Datasets 40

Zalando Engineering

JANUARY 3, 2017

Deep Learning For Natural Language Processing (NLP) As a data science delivery team with core expertise in NLP, an area that we had been tracking was the application of deep learning in NLP. Deep learning is having a transformative impact in many areas where machine learning has been applied.

Deep Learning 40

Deep Learning Data Science Machine Learning Coding 40

Zalando Engineering

SEPTEMBER 11, 2018

Visual search for fashion, the task of identifying fashion articles in an image and finding them in an online store, has been the subject of an ever growing body of scientific literature over the last few years (see for example [1-11]). In other words, only a feature representation of the article is needed. I want these shoes”?

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KDnuggets

NOVEMBER 29, 2023

The article examines the pros and cons of building an on-premise GPU machine versus using a GPU cloud service for projects involving deep learning and artificial intelligence, analyzing factors like cost, performance, operations, and scalability.

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Cloud Building Deep Learning Project 95

Knowledge Hut

APRIL 26, 2024

can help users to get started with Machine Learning. Open Dataset Finders To solve any problem in data science, be it in the field of Machine Learning, Deep Learning, or Artificial Intelligence , one needs a dataset that can be input into the model to derive insights. The datasets for Deep Learning are as follows.

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Datasets Machine Learning Deep Learning Finance 98

Christophe Blefari

JANUARY 20, 2024

Google News is boosting garbage AI-generated articles — This is a paid article. You should read this article to clarify these concepts. This articles gives you what's important. This article shows all the different architecture Snap put in place to deploy Airflow at scale. The title speaks by itself.

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Data Google Cloud Python Algorithm 130

KDnuggets

NOVEMBER 15, 2021

NVIDIA, the pioneer in the GPU technologies and deep learning revolution, has come up with an excellent catalog of specialized containers that they call NGC Collections. In this article, we explore their basic usage and some variations.

Deep Learning 106

Deep Learning Technology Data Engineering Data Engineer 106

Christophe Blefari

MARCH 17, 2023

I'll try to continue doing deep-dives on article from time to time. Glaze, protecting artists from style mimicry — A tool developed by researchers at Chicago university will help digital artists by cloaking their art to avoid mimicry from deep learning trainings. dbt Reimagined.

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Knowledge Hut

JULY 7, 2023

Various algorithms and models are trained using machine learning techniques like supervised, unsupervised, reinforcement, etc. In this article, we delve into the top 10 machine learning techniques that have gained immense popularity and have proven to be game-changers in the field.

Machine Learning 110

Machine Learning Deep Learning Algorithm Datasets 110

AltexSoft

NOVEMBER 1, 2023

This article explains what named entity recognition is, its working principles, and how it is used in real life. A corpus can range from a set of news articles to academic journals or even social media posts. Suppose a user reads several articles about “ sustainable travel trends.”

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Deep Learning Machine Learning Datasets Algorithm 52

Picnic Engineering

DECEMBER 12, 2023

This blog post delves into the learnings and challenges on our journey towards implementing and scaling state-of-the-art deep learning approaches. We’ll shed light on how to use the newest machine-learning approaches in a controlled and reliable manner. Then, it is time for the next big step.

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Knowledge Hut

JANUARY 18, 2024

It is an interdisciplinary science with multiple approaches, and advancements in Machine Learning and deep learning are creating a paradigm shift in many sectors of the IT industry across the globe. SQL for data migration 2. Python libraries such as pandas, NumPy, plotly, etc. Python libraries such as pandas, NumPy, plotly, etc.

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Knowledge Hut

APRIL 26, 2024

Generally, these algorithms fall under the category of Deep Learning, which is a core field in Machine Learning. The ANN also has a little significance in Machine Learning as it can deal with solving the problems related to C lassification and Regression.

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Data Engineering Weekly

MARCH 31, 2024

Intuit wrote an exciting article about what it learned from rolling out the internal GenAI tool. The challenge multiplies when designing a singular AI/ML system amid rapid application and model advancements, from XGboost to deep learning recommendation and large language models.

Data Engineering 62

Data Engineering Data Engineer Engineering Scala 62

Christophe Blefari

JUNE 16, 2023

Yann's vision goes toward AI systems learning and reasoning like animals and humans. Deep multi-task learning and real-time personalisation for closeup recommendations — Pinterest still doing deep learning. Fast News contains lighter news and broad articles. In fact, yes, you are all crazy?

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Knowledge Hut

MAY 31, 2023

This article will assist you to discover plenty of fascinating ideas and insights to inspire you, whether you are a tech fanatic or want to know about the future of AI. In this article, we will talk about artificial intelligence topics for the project. Let us get started! What are Artificial Intelligence Projects?

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AltexSoft

OCTOBER 26, 2023

This article will define AI coding, explore its main benefits and features, and evaluate five notable AI coding tools. Read our guide to Natural Language Processing , to learn more about NLP use cases, tools, and approaches. Deep learning is capable of handling intricate and complex tasks like speech and image recognition.

Coding 52

Coding Programming Language Deep Learning Java 52

Christophe Blefari

APRIL 14, 2023

This is just a normal evolution of deep learning systems. Using Metrics Layer to standardize and scale experimentation at DoorDash — A very good exhaustive article about a metrics layer. He thinks that like when we develop spamming filters to avoid fake mails we will develop the same to avoid fake news.

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Knowledge Hut

NOVEMBER 17, 2023

Having honed your expertise in programming languages like Python, C++, TensorFlow, and PyTorch, along with exceptional data visualization skills and the ability to create machine learning models effortlessly, you might be curious about your earning potential in 2023 as a data scientist ready to leverage these skills.

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Banking Deep Learning Amazon Web Services Computer Science 52

KDnuggets

NOVEMBER 15, 2021

NVIDIA, the pioneer in the GPU technologies and deep learning revolution, has come up with an excellent catalog of specialized containers that they call NGC Collections. In this article, we explore their basic usage and some variations.

Deep Learning 49

Deep Learning Technology Data Engineering Data Engineer 49

Knowledge Hut

FEBRUARY 29, 2024

It also covers OpenCV and deep learning topics for computer vision projects. Conclusion This article covers various topics and their related websites for machine learning and data science. Sharing your codes for everyone to access is also an integral part of GitHub.

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