Christophe Blefari

JUNE 21, 2024

The project became a top-level Apache project in Nov 2018. Both co-founded later Tabular (which got acquired by Databricks). Iceberg has been designed to fix the flaws of Hive around table management, especially about ACID transactions.

Metadata 147

Metadata Data Warehouse BI Scala 147

Pinterest Engineering

MARCH 5, 2024

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. Model Stability: Resilient Batch Norm Improving the stability and training speed of deep learning models is a crucial task.

Machine Learning 72

Machine Learning Deep Learning Architecture Data Mining 72

Engineering at Meta

OCTOBER 18, 2023

In 2018, I saw a social media post from Yann LeCun , our Chief AI Scientist, that Meta was looking for someone to help build AI silicon in-house. I knew of just a few other companies designing their own custom AI silicon, but they were mainly focused only on silicon and not the software ecosystem and products.

Designing 113

Designing Deep Learning Media Architecture 113

Cloudera

NOVEMBER 25, 2021

With the introduction of ML and Deep Learning (DL), it is now possible to build AI systems that have no ethical considerations at all. The examples have shown that like all technology and tools, AI can provide great value and as we have seen, sometimes produce unethical results. So why is it so hard to build ethical systems?

Government 97

Government Insurance Algorithm Machine Learning 97

Edureka

SEPTEMBER 11, 2023

This thorough guide delves into the complex world of generative AI, exploring its technology, background, different subfields, practical uses, and ethical issues. Timeline of Evolution Year Description The early 2010s Developing deep learning algorithms and significantly increasing computational power made generative AI possible.

Algorithm 52

Algorithm Entertainment Deep Learning Healthcare 52

ProjectPro

JANUARY 2, 2018

Source : [link] ) 4 Big Data Trends To Watch In 2018. 2018 will see increased emergence of micro subscription models as tools like Cassandra, Apache Kafka make real time processing at scale possible with Google Tensor Flow and Python. Source : [link] ) Apache Software Foundation Sets Hadoop Sights Higher for 2018. With Hadoop 3.0

Hadoop 52

Hadoop Big Data Machine Learning Datasets 52

ProjectPro

DECEMBER 1, 2017

The existing instances will continue to be available on the Bluemix console as is from December 7, 2017 to November 7, 2018. IBM has requested all its users to delete their existing instances before November 7, 2018 and any instances that exists after that would be deleted. CXOtoday.com, November 22, 2017.

Hadoop 52

Hadoop Medical Unstructured Data Pharmaceutical 52

Knowledge Hut

JANUARY 3, 2024

As the prominence of generative AI continues to increase, a significant surge in the number of Generative AI startups being established is also increasing, changing the face of technological advancements. I’ll share a few examples to help you learn some of these revolutionary players in this realm.

Healthcare 52

Healthcare Finance Food Algorithm 52

Knowledge Hut

DECEMBER 27, 2023

AR/VR is regarded as the next advancement in digital technology, so it shouldn't be shocking. NLP and Machine Learning Engineers In 2018, LinkedIn discovered that machine learning engineers were among the highest-paid professionals, with high demand and low talent supply.

Software Engineer 98

Software Engineer Software Engineering Engineering Programming Language 98

AltexSoft

APRIL 27, 2023

According to McKinsey’s analysis , the wider adoption of data-driven technologies could increase the business operating performance by 15 to 30 percent of EBIDTA (Earnings Before Interest, Taxes, Depreciation, and Amortization) in just five years. Potentially, the technology will reduce the cost and time-to-market of novelty drugs.

Data Analytics 52

Data Analytics Pharmaceutical Medical Manufacturing 52

Picnic Engineering

MAY 23, 2023

How we explore and benchmark new technologies for customer feedback classification. As data scientists, we figured out the best way to answer this question is by benchmarking new technologies and comparing them with traditional approaches. However, there are some limitations to using traditional approaches.

Machine Learning 72

Machine Learning Algorithm Deep Learning Architecture 72

Pinterest Engineering

JANUARY 9, 2024

This brings challenges on the model training strategy, e.g., the model’s update frequency, and complicates calibration estimations of the learned models. This design choice enabled us to build performant models quickly for the scale of data and machine learning stack of that time.

Machine Learning 93

Machine Learning Architecture Engineering Utilities 93

Knowledge Hut

FEBRUARY 7, 2023

A data science platform is software that includes a variety of technologies for machine learning, data science, and other advanced analytics projects. Gets slow when working on heavy Deep Learning Algorithms 2. Machine Learning Deep learning It has inbuilt advanced ML and DL libraries like Keras, Pytorch, etc.,

Data Science 52

Data Science Google Cloud Machine Learning Programming Language 52

LinkedIn Engineering

OCTOBER 19, 2023

To achieve this, the Anti-Abuse AI Team at LinkedIn plays a crucial role in creating, deploying, and maintaining AI and deep learning models that can detect and prevent different forms of abuse, such as fake account creation, member profile scraping, automated spam, and account takeovers.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

AltexSoft

MAY 30, 2022

So, it makes sense that more and more companies are looking for a way to implement conversational artificial intelligence (AI) technology to streamline these processes. Let’s dive deeper into core technologies that enable machines to do these awesome things. Conversational AI key concepts and technologies.

Banking 52

Banking Machine Learning Deep Learning Algorithm 52

AltexSoft

OCTOBER 25, 2021

Its deep learning natural language processing algorithm is best in class for alleviating clinical documentation burnout, which is one of the main problems of healthcare technology. Most modern NLP applications use state-of-the-art deep learning methods. Nuance, acquired for $19.7 Source: Linguamatics.

Medical 52

Medical Healthcare Process Hospitality 52

Databand.ai

DECEMBER 29, 2022

Colleen is also experienced in building and leading diverse teams through business reorganization and transforming existing data ecosystems by maturing them into modern and robust technology stacks. Huy was named on Forbes’ 30 Under 30 list for Enterprise Technology in Vietnam & Asia in 2018 and co-authored The Analytics Setup Guidebook.

BI 52

BI Consulting Data Science Data Governance 52

Zalando Engineering

NOVEMBER 6, 2017

What new technologies should we be investigating ? Without machine learning, we could never keep up with the amount of fashion resources that are available.” - Ana Peleteiro Ramallo With her team, Ana has been shipping groundbreaking products in Deep Learning for Natural Language Processing (NLP) and Knowledge Extraction.

Data Science 40

Data Science Deep Learning Media Machine Learning 40

Knowledge Hut

NOVEMBER 29, 2023

As per the RightScale State of the Cloud report of 2018, 68% of SMBs and 64% of the enterprises are using AWS to run their applications. Knowledge and understanding of concepts and technologies used in AWS networking. One must fulfill certain requirements to be eligible for the AWS Certified Advanced Networking – Specialty exam.

AWS 52

AWS Certification IT Programming Language 52

Knowledge Hut

NOVEMBER 27, 2023

In 2018, the world produced 33 Zettabytes (ZB) of data, which is equivalent to 33 trillion Gigabytes (GB). Basic Calculus can also come in handy if you work with advanced Machine Learning and Deep Learning methods. Knowledge Learning never ends for a Data Scientist.

Data Science 97

Data Science Healthcare Machine Learning Algorithm 97

ProjectPro

JULY 26, 2021

Some of the largest conglomerates like Uber, Airbnb, NVIDIA, Intel, and, quite naturally, Google use TensorFlow, consequently making using it a skill that is increasingly finding its way into job requirements for most of the data related job roles be it - data scientists, deep learning engineers, machine learning engineers , or AI engineers.

Project 40

Project Deep Learning Medical Datasets 40

ProjectPro

NOVEMBER 18, 2021

The Walmart Labs team heavily invests in building and managing technologies like cloud, data, DevOps, infrastructure, and security. You can also try your hands-on Inventory Demand Forecasting Data Science Project to develop a machine learning model to forecast inventory demand accurately based on historical sales data. million drivers.

Data Science 52

Data Science Project Food Pharmaceutical 52

ProjectPro

FEBRUARY 5, 2021

MNIST stands for Modified National Institute of Standards and Technology and is a database of 60,000 small square 28x28 pixel grayscale images. MNIST handwritten digits dataset is the most used for learning Image Recognition. This dataset was made for the 2018 Skin Lesion Detection Challenge.

Datasets 40

Datasets Deep Learning Medical Algorithm 40

Cloudera

SEPTEMBER 12, 2018

These awards recognize organizations that transform complex data into actionable insights and illustrate impact to technology, science, health, lifestyle, and community across a wide variety of industries. — Mike Barlow, author of “Learning to Love Data Science” (O’Reilly Media).

Pharmaceutical 44

Pharmaceutical Banking Amazon Web Services Healthcare 44

AltexSoft

JANUARY 18, 2023

This is achieved through the use of deep learning techniques and the pre-training of the model on a large dataset of text. BERT (Bidirectional Encoder Representations from Transformers) is a pre-trained language model developed by Google in 2018. It can create poetry, compose emails, tell jokes, and even write simple code.

Datasets 64

Datasets Architecture Deep Learning SQL 64

ProjectPro

JANUARY 15, 2021

Download MVTec D2S Retail Dataset for Machine Learning Computer Vision Project Ideas using the MVTec D2S Dataset This retail dataset can be used for semantic image segmentation to cover the real-world application of an automatic checkout, warehouse, or stock inventory system. million diagnosed breast cancer cases in 2018.

Machine Learning 40

Machine Learning Datasets Retail Banking 40

ProjectPro

NOVEMBER 16, 2021

As a result of these quick breakthroughs, extensive research and financial resources are devoted to speeding up technology development. To help accelerate the application development process and enable more efficient and effective practical usage, developers rely on open-source AI projects to build superior deep learning-based solutions.

Project 52

Project Deep Learning Machine Learning Algorithm 52

U-Next

JANUARY 17, 2022

Artificial Intelligence is the new electricity , powering the technological revolution just like electricity enabled, believes Coursera co-founder Andrew. of Google employees are Black, as per its 2018 report ! Introduction to Deep Learning. However, AI has a significant gender and racial bias. A mere 2.5% Source: MIT, 6.

Manufacturing 98

Manufacturing Deep Learning Algorithm Datasets 98

Knowledge Hut

DECEMBER 26, 2023

According to reports by DICE Insights, the job of a Data Engineer is considered the top job in the technology industry in the third quarter of 2020. These data have been accessible to us because of the advanced and latest technologies which are used in the collection of data.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

U-Next

SEPTEMBER 9, 2022

In essence, Big Data Analytics technologies enable quick and effective analytical processes. Business Analytics is a flourishing technology as it can be used in every sector where data is accessible and collected. Data is becoming more readily available to all enterprises as technology advances.

Retail 40

Retail Big Data Data Analytics Utilities 40

AltexSoft

DECEMBER 15, 2021

Before diving deeper into technological aspects, let’s take a closer look at key AutoML use cases. Neural architecture search or NAS is a subset of hyperparameter tuning related to deep learning, which is based on neural networks. Google entered the automated machine learning area in 2018. AutoML use cases.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59

Databand.ai

DECEMBER 20, 2022

He produces weekly tech talk videos on the IBM Technology YouTube channel (270K+ subs) in areas such as machine learning, artificial intelligence, mobile devices, and hybrid cloud. He’s also made it his mission to stay up-to-date with the newest technologies and analytic techniques.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52