Data Engineering Podcast

JUNE 1, 2020

When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. How does the introduction of a universal SQL layer change the staffing requirements for building and maintaining a data lake?

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Data Lake Database Building Lambda Architecture 100

ProjectPro

NOVEMBER 30, 2021

Deep learning was developed in the early 1940s to mimic the neural networks of the human brain. However, in the last few decades, deep learning has unleashed itself into the world. 85% of data science platform vendors have the first version of deep learning in products. What does a Deep Learning Engineer do?

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Deep Learning Engineering Machine Learning Programming Language 52

Knowledge Hut

JUNE 16, 2023

Artificial intelligence, Deep learning, and Machine learning are the current buzzwords in the industry. Deep learning is a branch of this impeccable machine learning and artificial intelligence. The above image represents the difference between Artificial intelligence, Machine Learning, and Deep Learning.

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Deep Learning Engineering Recruitment Data Science 52

Edureka

JUNE 7, 2024

Unlike traditional AI systems that operate on pre-existing data, generative AI models learn the underlying patterns and relationships within their training data and use that knowledge to create novel outputs that did not previously exist. paintings, songs, code) Historical data relevant to the prediction task (e.g.,

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Deep Learning Media Algorithm Manufacturing 114

Knowledge Hut

DECEMBER 21, 2023

Deep learning is one of the major domains of pursuing a career in technology and development. With the growth in technology, the importance of machine learning and deep learning technology is also increasing. Learning effective deep learning skills is crucial to pursuing a career in this discipline.

Deep Learning 52

Deep Learning Programming Language Recruitment Java 52

Knowledge Hut

APRIL 26, 2024

Datasets play a crucial role and are at the heart of all Machine Learning models. Machine Learning without data sets will not exist because ML depends on data sets to bring out relevant insights and solve real-world problems. Quality data is therefore important to ensure the efficacy of a machine learning model.

Machine Learning 98

Machine Learning Datasets Deep Learning Finance 98

RandomTrees

NOVEMBER 25, 2024

Understanding Generative AI Generative AI describes an integrated group of algorithms that are capable of generating content such as: text, images or even programming code, by providing such orders directly. The telecom field is at a promising stage, and generative AI is leading the way in this stimulating quest to build new innovations.

Telecommunication 52

Telecommunication IT Unstructured Data Data Mining 52

Knowledge Hut

MAY 2, 2024

Machine learning is a field that encompasses probability, statistics, computer science and algorithms that are used to create intelligent applications. Since machine learning is all about the study and use of algorithms, it is important that you have a base in mathematics. are the tools used in Inferential Statistics.

Machine Learning 98

Machine Learning Algorithm Datasets Python 98

Knowledge Hut

OCTOBER 30, 2023

In recent years, the field of deep learning has gained immense popularity and has become a crucial subset of artificial intelligence. Data Science aspirants should learn Deep Learning after taking a Data Science certificate online , which would enhance their skillset and create more opportunities for them.

Deep Learning 52

Deep Learning Project Datasets Machine Learning 52

DareData

JUNE 11, 2024

In this post, we’ll learn how to train a computer vision model using a convolutional Neural Network in PyTorch PyTorch is currently one of the hottest libraries in the Deep Learning field. For example: We’ve learned the basics about tensors ; We understood how to create our first linear model (regression) using PyTorch.

Algorithm 52

Algorithm Datasets Deep Learning Architecture 52

LinkedIn Engineering

MARCH 21, 2023

One of the most exciting parts of our work is that we get to play a part in helping progress a skills-first labor market through our team’s ongoing engineering work in building our Skills Graph. Our taxonomy includes machine learning (skill concept), the skill ID (a number assigned to each skill), aliases (e.g.

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Building Recruitment Machine Learning Deep Learning 85

LinkedIn Engineering

DECEMBER 20, 2023

At LinkedIn, trust is the cornerstone for building meaningful connections and professional relationships. Our members rely on us to create an environment on our platform where they can safely learn and grow in their careers. Let’s look into the critical modules that are needed to build this type of system.

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Building Algorithm Kafka Machine Learning 91

Cloudera

NOVEMBER 3, 2021

Thanks to pioneers like Andrew NG and Fei-Fei Li, GPUs have made headlines for performing particularly well with deep learning techniques. Today, deep learning and GPUs are practically synonymous. While deep learning is an excellent use of the processing power of a graphics card, it is not the only use.

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Deep Learning Data Science Machine Learning Python 117

ProjectPro

FEBRUARY 24, 2022

Working with audio data has been a relatively less widespread and explored problem in machine learning. In most cases, benchmarks for the latest seminal work in deep learning are measured on text and image data performances. Amidst this, speech and audio, an equally important type of data, often gets overlooked.

Deep Learning 52

Deep Learning Project Datasets Machine Learning 52

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. Strong A I is made of two components which are Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI).

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it.

Data Science 117

Data Science Machine Learning Python Deep Learning 117

AltexSoft

JUNE 29, 2021

In a world fueled by disruptive technologies, no wonder businesses heavily rely on machine learning. For example, Netflix takes advantage of ML algorithms to personalize and recommend movies for clients, saving the tech giant billions. The focus here is on engineering, not on building ML algorithms.

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Machine Learning Engineering Algorithm Data Science 105

Netflix Tech

MARCH 28, 2025

By Ko-Jen Hsiao , Yesu Feng and Sudarshan Lamkhede Motivation Netflixs personalized recommender system is a complex system, boasting a variety of specialized machine learned models each catering to distinct needs including Continue Watching and Todays Top Picks for You. Refer to our recent overview for more details).

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Metadata Bytes Data Mining Entertainment 66

Cloudera

NOVEMBER 19, 2020

Machine learning algorithms enable fraud detection systems to distinguish between legitimate and fraudulent behaviors. Some of these algorithms can be adaptive to quickly update the model to take into account new, previously unseen fraud tactics allowing for dynamic rule adjustment. A better approach is needed.

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Government Machine Learning Algorithm Raw Data 119

Knowledge Hut

MAY 31, 2023

Artificial intelligence (AI) projects are software-based initiatives that utilize machine learning, deep learning, natural language processing, computer vision, and other AI technologies to develop intelligent programs capable of performing various tasks with minimal human intervention. Let us get started!

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Project Healthcare Deep Learning Transportation 96

RandomTrees

NOVEMBER 13, 2024

Machine learning algorithms are capable of absorbing a specific editor or director’s editing style and utilizing those principles for new projects, leading to quicker and more consistent edits. However, AI-assisted editing tools are transforming the systems that are capable of eliminating tough jobs from the editing process.

Entertainment 52

Entertainment Media Cloud Cloud Computing 52

Knowledge Hut

DECEMBER 29, 2023

In addition, there are professionals who want to remain current with the most recent capabilities, such as Machine Learning, Deep Learning, and Data Science, in order to further their careers or switch to an entirely other field. Learning Outcomes: Acquire the skills necessary to assess models developed from data.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

JULY 4, 2023

To build a strong foundation and to stay updated on the concepts of Pattern recognition you can enroll in the Machine Learning course that would keep you ahead of the crowd. By analyzing historical patterns and trends in the data, algorithms can learn and make predictions about future outcomes or events.

Machine Learning 98

Machine Learning Medical Algorithm Deep Learning 98

Christophe Blefari

JANUARY 20, 2024

Zuckerberg teased 2024 Meta AI strategy — In a selfie video on Facebook / Instagram Zucky explained that Llama 3 is coming and that Meta is building a massive 600k H100 NVidia GPU infrastructure. Far from trends and the lights, it's actually time to build tools. in pre-seed to build GenAI monitoring applications.

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Data Python Google Cloud Algorithm 130

Edureka

MARCH 26, 2025

DeepBrain AI is driven by powerful machine learning algorithms and natural language processing. Cleansing and cleaning this data makes sure that it can be used to train machine learning models. Training the Model: The models that DeepBrain AI builds are trained with deep learning techniques.

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Education Media Deep Learning Machine Learning 45

Knowledge Hut

DECEMBER 26, 2023

To build these necessary skills, a comprehensive course from a reputed source is a great place to start. Data Science also requires applying Machine Learning algorithms, which is why some knowledge of programming languages like Python, SQL, R, Java, or C/C++ is also required.

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Data Science BI Machine Learning Business Intelligence 97

Netflix Tech

NOVEMBER 11, 2022

With media-focused ML algorithms, we’ve brought science and art together to revolutionize how content is made. We invest in novel algorithms for bringing hard-to-execute editorial techniques easily to creators’ fingertips, such as match cutting and automated rotoscoping/matting.

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Media Machine Learning Algorithm Deep Learning 98

Cloudera

FEBRUARY 25, 2021

While there are many factors that can contribute to this inefficiency, one of the most prevalent hurdles to overcome has to do with simply getting projects off the ground and selecting the right approaches, algorithms, and applications that will lead to fast results and trustworthy decision making. . Deep Learning for Image Analysis.

Deep Learning 84

Deep Learning Machine Learning Telecommunication Data Science 84

Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. Machine learning is a promising subfield of Artificial Intelligence (AI), where models are not explicitly predefined.

Machine Learning 97

Machine Learning Algorithm Data Science Government 97

ProjectPro

NOVEMBER 8, 2021

With the advancement in artificial intelligence and machine learning and the improvement in deep learning and neural networks, Computer vision algorithms can process massive volumes of visual data. With no future adieu, let's look at some of the most commonly used computer vision algorithms and applications.

Algorithm 52

Algorithm Medical Datasets Python 52

Pinterest Engineering

SEPTEMBER 5, 2023

In 2021, ML was siloed at Pinterest with 10+ different ML frameworks relying on different deep learning frameworks, framework versions, and boilerplate logic to connect with our ML platform. It is very difficult for platform engineers to build good standardized tools that fit diverse ML stacks.

Engineering 105

Engineering Deep Learning Architecture Project 105

Knowledge Hut

MAY 30, 2024

Evolutionary Algorithms and their Applications 9. Machine Learning Algorithms 5. Machine Learning: Algorithms, Real-world Applications, and Research Directions Machine learning is the superset of Artificial Intelligence; a ground-breaking technology used to train machines to mimic human action and work.

Computer Science 98

Computer Science Data Mining Algorithm Machine Learning 98

U-Next

MARCH 1, 2023

Artificial Intelligence Projects for Beginners Building an AI system involves mirroring human traits and skills in a machine and then utilizing its computational power to outperform our skills. These bots employ AI algorithms to comprehend customer questions about credit cards, accounts, and loans. Let’s get started on this.

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Project Medical Banking Healthcare 96

Knowledge Hut

FEBRUARY 1, 2024

Machine learning algorithms produce these suggestions. They utilize this information to learn more about their customers or build a platform to assist new ones. Data-driven optimisation algorithms coordinate the complex dance of logistics, delivery schedules, and cost economies. Thinking about Amazon and Netflix?

Data Science 96

Data Science Retail Algorithm Manufacturing 96

Cloudera

NOVEMBER 25, 2021

Advances in the performance and capability of Artificial Intelligence (AI) algorithms has led to a significant increase in adoption in recent years. Ethical AI is a multi-disciplinary effort to design and build AI systems that are fair and improve our lives. So why is it so hard to build ethical systems? Find out more.

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Government Insurance Algorithm Machine Learning 98

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning 107

Machine Learning Python Kafka Java 107

Knowledge Hut

DECEMBER 26, 2023

Get Familiar with Applied Mathematics In machine learning and data science, mathematics isn't about crunching numbers; it's about knowing what's happening, why, and how we may try different variables to get the outcomes we want. If you're more interested in the technical side of statistics, you might not have to learn Math.

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Data Science Programming Language Deep Learning Machine Learning 98