Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. On April 28, 2017, Mike Olson , as one of the founders of Cloudera, writes about the initial public offering, and what the milestone means. “We Machine Learning in the Age of Big Data. This blog has everything!

Insurance 45

Insurance Machine Learning Data Science Big Data 45

ProjectPro

FEBRUARY 1, 2017

News on Hadoop-January 2017 Big Data In Gambling: How A 360-Degree View Of Customers Helps Spot Gambling Addiction. Forbes.com, January 5, 2017. Veikkaus merged with Fintoto(Horse Racing) and Ray(Slots and Casinos) in January 2017 to become the largest gaming organization in Europe. 5 Hadoop Trends to Watch in 2017.

Hadoop 52

Hadoop MongoDB Big Data Kafka 52

Cloudera

FEBRUARY 16, 2018

In many ways, 2017 was a singular year for Cloudera, not least because we staged a successful IPO and joined the ranks of the world’s fastest-growing, publicly traded companies. UK’s V3 Technology Award as best AI/Machine Learning Provider. The post 2017 – Another Award-Winning Year for Cloudera!

Manufacturing 45

Manufacturing Cloud Computing Healthcare Machine Learning 45

ProjectPro

JULY 3, 2017

News on Hadoop - June 2017 Hadoop Servers Expose Over 5 Petabytes of Data. BleepingComputer.com, June 2, 2017. Source : [link] ) Doug Cutting, ‘father’ of Hadoop, talks about big data tech evolution.ComputerWeekly.com, June 2, 2017. YourStory.com, June 7, 2017. PB of data.

Hadoop 52

Hadoop Food MongoDB Retail 52

Confluent

JULY 16, 2019

And that the FBI clearance figures indicate that only 13% of all burglaries in 2017 were cleared due to lack of witnesses and/or physical evidence? Have you ever realized that, according to the latest FBI report , more than 80% of all crimes are property crimes, such as burglaries? I will show how to implement this use case in this blog post.

Machine Learning 100

Machine Learning Kafka Java Datasets 100

Jesse Anderson

DECEMBER 12, 2022

Google’s 2015 paper Hidden Technical Debt in Machine Learning Systems highlighted the fact that machine learning isn’t just the creation of models. I further expanded on these ideas in 2017 by talking about complexity in big data and writing my first book Data Engineering Teams.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

AltexSoft

MARCH 22, 2022

Meanwhile, synthetic data can be a good alternative to rely on when it comes to training machine learning models. Synthetic data is artificial data that mimics real-world observations and is used to train machine learning models in those cases when actual data is difficult or expensive to get. What is synthetic data?

Machine Learning 52

Machine Learning IT Medical Insurance 52

ProjectPro

APRIL 1, 2017

News on Hadoop-March 2017 The cloud is disrupting Hadoop. Zdnet.com, March 6, 2017 Forrester estimates that organizations will spend $800 million in hadoop and its related services in 2017. Datanami.com, March 7, 2017. Satprnews.com, March 8, 2017. Sdtimes.com, March 14, 2017.

Hadoop 40

Hadoop Data Lake Electronics Big Data 40

Cloud Academy

MAY 2, 2018

A 2017 IDC White Paper “recommend[s] that organizations that want to get the most out of cloud should train a wide range of stakeholders on cloud fundamentals and provide deep training to key technical teams ” (emphasis ours). Both come together on Google Cloud Machine Learning Engine. In a word, culture.

Google Cloud 52

Google Cloud Machine Learning Big Data AWS 52

Knowledge Hut

MAY 3, 2024

In other words, because Apache Spark uses current machine learning frameworks and processes graphs, it has the ability to do more than merely understand data. They can use MLib ( Spark's machine learning library) to train models offline and directly use them online for scoring live data in Spark Streaming. Dataflow 4.

Kafka 98

Kafka Scala Java Amazon Web Services 98

Uber Engineering

JULY 7, 2021

Introduction.

Machine Learning 128

Machine Learning Engineering Architecture 128

Picnic Engineering

JANUARY 30, 2024

As we step into 2024, let’s look back at the transformative year of 2023, which has been a milestone for machine learning and artificial intelligence. All are powered by AI & machine learning. The underlying Transformer architecture and attention mechanism paper was already published by researchers at Google in 2017.

Machine Learning 52

Machine Learning Healthcare Coding Algorithm 52

Data Engineering Podcast

JULY 17, 2022

init started in 2015, and your first episode of Data Engineering was published January 14, 2017. init started in 2015, and your first episode of Data Engineering was published January 14, 2017. Now I’ll hand it off to Joe… Joe’s Notes You do a lot of podcasts. Walk us through the start of these podcasts.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

U-Next

NOVEMBER 9, 2022

AutoML makes the whole process of Machine Learning easy, reducing the iterative tasks. Machine Learning-as-a-Service . Machine Learning-as-a-Service (MLaaS) is a cloud-based model where companies outsource machine learning work to an external party. from 2017 to 2023. .

Data Science 52

Data Science BI Machine Learning Cloud Computing 52

Team Data Science

FEBRUARY 23, 2021

Since 2017, more than 1.5 It did that by implementing a recommender system based on machine learning. The second is machine learning, which then provides decision-makers with much cheaper support in a human-in-the-loop approach or the possibility of automation of repetitive predictable tasks [ , 19 ].

Business Intelligence 130

Business Intelligence Food Unstructured Data Relational Database 130

Knowledge Hut

JANUARY 23, 2024

Through cutting-edge technologies like the cloud, chatbots, blockchain, the internet of things, machine learning, artificial intelligence, and augmented and virtual reality, SoluLab's award-winning enterprise software solutions provide full-spectrum,360-degree services to startups, small businesses, and large corporations alike.

Consulting 52

Consulting Finance Transportation Medical 52

Snowflake

NOVEMBER 21, 2023

Data is also critical within the Deliveroo app, where machine learning algorithms decide which rider should be offered which deliveries, and at what rates. It’s used internally to inform vital operational decisions, solve problems, test new features, and optimize efficiency.

Cloud 85

Cloud Food Data Warehouse Data 85

Knowledge Hut

NOVEMBER 17, 2023

In 2017, Google Cloud announced a price cut on local SSDs for preemptable and on-demand instances. In September 2017, AWS announced per-second billing. Big data and machine learning are the main areas of GCP. Google Cloud allows attaching local SSDs to any type of instance. W hat Should You Choose Between GCP vs AWS?

Google Cloud 98

Google Cloud AWS Cloud Cloud Computing 98

Knowledge Hut

FEBRUARY 6, 2024

It is even considered as the most popular language for machine learning. SQL Server 2017 supports Linux OS and its containers run on Windows, Linux and macOS. With a wide range of usage, it is used to build cloud-based infrastructure projects like OpenStack, while it also supports web applications through frameworks like Django.

Programming Language 52

Programming Language Programming Java SQL 52

Scott Logic

APRIL 22, 2024

In particular, with SageMaker Canvas, it’s possible to create a machine learning model entirely graphically. Model training with SageMaker Canvas One of the first steps in using AI to analyse your own data is to generate a model based upon it, and in AWS, this is done using Amazon SageMaker.

BI 97

BI Software Engineer Software Engineering Algorithm 97

Cloudera

NOVEMBER 1, 2022

A quick trip in the congressional time machine to revisit 2017’s Modernizing Government Technology Act surfaces some of the most salient points regarding agencies’ challenges: The federal government spends nearly 75% of its annual information technology funding on operating and maintaining existing legacy information technology systems.

Cloud 87

Cloud Government Cloud Computing Data Architecture 87

Data Engineering Podcast

DECEMBER 18, 2022

What are some of the notable changes that have happened in the data.world product and market since I last had Bryon on the show in 2017? What are the most interesting, unexpected, or challenging lessons that you have learned while working on data.world? Don't forget to check out our other shows.

Data Lake 100

Data Lake Data Warehouse Data Pipeline MongoDB 100

AltexSoft

OCTOBER 13, 2022

Generative AI refers to unsupervised and semi-supervised machine learning algorithms that enable computers to use existing content like text, audio and video files, images, and even code to create new possible content. It mostly belongs to supervised machine learning tasks. What is Generative AI and why should you care?

Algorithm 90

Algorithm Deep Learning Machine Learning Datasets 90

Edureka

FEBRUARY 15, 2023

The banking, finance, and insurance sectors have been abuzz with artificial intelligence (AI) and machine learning (ML) for a while now. LAMDA, like ChatGPT, is based on Transformer, a neural network architecture created by Google Research and made available for use in 2017. ChatGPT did not write this for me! What is ChatGPT?

Deep Learning 52

Deep Learning Insurance Banking Finance 52

Knowledge Hut

JANUARY 3, 2024

Hugging Face Founded in 2016, Hugging Face is a community forum in the field of artificial intelligence and machine learning. Tabnine Founded in 2017, Tabnine is an AI-powered code completion and code suggestion tool that utilizes machine learning algorithms to offer context-aware code suggestions.

Healthcare 52

Healthcare Finance Food Algorithm 52

Knowledge Hut

DECEMBER 26, 2023

The job of a data engineer is to develop models using machine learning to scan, label and organize this unstructured data. Fundamentals As a beginner in Data Science , you would be suggested by many to learn machine learning techniques like Regression, Clustering, or SVM without having any basic understanding of the terminologies.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Cloudera

MARCH 3, 2022

In 2017, Anthem reported a data breach that exposed thousands of its Medicare members. Data analytics and machine learning can become a business and a compliance risk if data security, governance, lineage, metadata management, and automation are not holistically applied across the entire data lifecycle and all environments.

Data Governance 98

Data Governance Government Metadata Medical 98

Pinterest Engineering

MARCH 5, 2024

Yulin Lei | Senior Machine Learning Engineer; Kaili Zhang | Staff Machine Learning Engineer; Sharare Zahtabian | Machine Learning Engineer II; Randy Carlson | Machine Learning Engineer I; Qifei Shen | Senior Staff Machine Learning Engineer Introduction Pinterest strives to deliver high-quality ads and maintain a positive user experience.

Machine Learning 61

Machine Learning Deep Learning Architecture Data Mining 61

Cloudera

OCTOBER 31, 2017

We were selected based on our pre-IPO revenue growth driven by demand for our machine learning and analytic platform. The enterprise machine learning and analytics market is quickly emerging, and we continue to lead its direction through technology and product innovation,” said Tom Reilly, chief executive officer at Cloudera.

Machine Learning 40

Machine Learning Cloud Database Technology 40

Cloudera

SEPTEMBER 10, 2021

Key to harnessing the power of all that data: high-powered artificial intelligence tools, machine learning capabilities and applications capable of rapidly exposing attempts at fraud or identity theft.

Machine Learning 67

Machine Learning Government Utilities Algorithm 67

U-Next

SEPTEMBER 29, 2022

Scikit Learn . There are many Machine Learning libraries, but Scikit-learn is one of the most famous. Numerous calculations related to supervised and unsupervised learning are based on it. You are likely to have learned about, attempted, or executed deep learning calculations if you have worked in AI.

Management 52

Management Machine Learning Deep Learning Algorithm 52

Cloudera

MAY 10, 2018

Cloudera 2017 Data Impact Award Winners. With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. Enterprise machine learning. Nominate a project or learn more about the program here. Read how to get nominated.

Healthcare 41

Healthcare Machine Learning Media Data Science 41

Knowledge Hut

JULY 7, 2023

The future of Java in 2023 also lies in its ability to adapt to emerging technologies such as machine learning, cloud computing, and the Internet of Things (IoT). Kotlin has gained significant popularity since Google announced it as an official language for Android development in 2017.

Java 97

Java Technology Scala Programming Language 97

Data Engineering Podcast

APRIL 8, 2018

For complete visibility into the health of your pipeline, including deployment tracking, and powerful alerting driven by machine-learning, DataDog has got you covered. Links DataOps Manifesto DataKitchen 2017: The Year Of DataOps Air Traffic Control Chief Data Officer (CDO) Gartner W.

Manufacturing 100

Manufacturing Machine Learning Data Engineering Data Engineer 100

U-Next

OCTOBER 28, 2022

To integrate cutting-edge Artificial Intelligence technology into Bosch products and services, Bosch established the Bosch Center for Artificial Intelligence Company (BCAI) in 2017 in order to create innovative solutions based on the latest AI technology. With a market capitalization of Rs 13,507.78 crore, Happiest Minds Technologies Ltd.

Machine Learning 52

Machine Learning Algorithm Deep Learning Technology 52

Cloudera

MAY 27, 2021

This could be addressed with an explanation of how a technology works — how, for instance, machine learning (ML) engines get better at their tasks by being fed gobs of data. Sometimes, even if everything is done to deliver ethical outcomes, the machine may still make predictions and assumptions that don’t abide by these rules.

Algorithm 117

Algorithm Media Consulting Machine Learning 117

Snowflake

NOVEMBER 21, 2023

Data is also critical within the Deliveroo app, where machine learning algorithms decide which rider should be offered which deliveries, and at what rates. It’s used internally to inform vital operational decisions, solve problems, test new features, and optimize efficiency.

Cloud 52

Cloud Food Data Warehouse Data 52