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 82

Deep Learning Machine Learning Telecommunication Data Science 82

Cloudera

DECEMBER 17, 2020

When it comes to machine learning (ML) in the enterprise, there are many misconceptions about what it actually takes to effectively employ machine learning models and scale AI use cases. Accelerating the Full Machine Learning Lifecycle With Cloudera Data Platform.

Machine Learning 80

Machine Learning Data Science Data Pipeline Raw Data 80

Cloudera

OCTOBER 27, 2020

Our goal is to take the incredible data science and machine learning research developments we see emerging from academia and large industrial labs, and bridge the gap to products and processes that are useful to practitioners working across industries. Meta-Learning. Humans have an innate ability to learn new skills quickly.

Deep Learning 60

Deep Learning Machine Learning Algorithm Data Science 60

Data Engineering Weekly

FEBRUARY 19, 2023

Netflix: Scaling Media Machine Learning at Netflix Netflix writes about media machine learning infrastructure and media-focused ML infrastructure to reduce the time from ideation to productization for media ML practitioners. Join our webinar to learn how you can replace GA with analytics on your data cloud.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Knowledge Hut

SEPTEMBER 22, 2023

Their Azure roles and responsibilities include developing AI models and algorithms using different services. Responsibilities: Develop AI models and algorithms using Azure AI services. Experience with Azure AI services like Azure Machine Learning. Knowledge of machine learning algorithms and frameworks.

Cloud Computing 52

Cloud Computing Certification Computer Science Programming Language 52

U-Next

SEPTEMBER 19, 2022

If you are a Data Scientist, you’re well aware of the numerous SQL statements, excel formulas, functions, and algorithms in your profession. Read this to uncover the best references for Python, SQL, Machine Learning, seaborn and more. Machine Learning. Supervised Learning Algorithm Cheat sheet.

Data Science 40

Data Science Algorithm Machine Learning SQL 40

Precisely

JANUARY 3, 2023

Build supply chain process monitoring and measurement capabilities Develop a robust set of measures unique to your business needs and objectives – don’t just “copy and paste” from your previous measures or those of your peers Deploy machine learning-based predictive algorithms to detect anomalies before they become bigger downstream issues Integrate (..)

Process 59

Process Data Governance Algorithm Data Integration 59

Snowflake

JULY 11, 2023

Over 500 healthcare AI algorithms have been approved by the U.S. To design better screening guidelines, sharpen those algorithms, make them better and more effective. They need clinical trials and FDA approval (which the number of approved algorithms we referenced above indicates is not an insurmountable challenge).

Healthcare 50

Healthcare Hospitality Medical Pharmaceutical 50

Rockset

SEPTEMBER 26, 2023

Regardless of the algorithm, one’s favorite music streaming service can only give the best recommendations if it knows all of your recent listening history and what everyone else has played when it generalizes categories of consumption patterns. Real-time information can enhance the query’s specificity or the model’s configuration.

Metadata 64

Metadata Kafka Cloud Database 64

Knowledge Hut

NOVEMBER 28, 2023

AI and Machine Learning AI and machine learning, along with application and knowledge of algorithms, continues to be an important part of data engineer skills. Knowledge of distributed systems helps you understand consensus algorithms and coordinating protocols.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments.

Data Science 48

Data Science Transportation Machine Learning Algorithm 48

Cloudera

MAY 22, 2018

As data scientists iteratively develop models, they often experiment with datasets, features, libraries, and algorithms as well as tuning hyperparameters. To see the new capabilities in action, join our webinar on 13 June 2018. Learn more about how Cloudera Data Science Workbench makes your data science team more productive.

Data Science 41

Data Science Machine Learning Metadata Big Data 41

Cloudera

DECEMBER 21, 2020

A Cloudera Machine Learning Workspace exists . He has recently attended a Cloudera Fast Forward webinar where the latest trends and production-proven ML algorithms have been highlighted and exemplified. Data Catalog profilers have been run on existing databases in the Data Lake. The Data Scientist.

Banking 97

Banking Data Lake Data Data Warehouse 97

Snowflake

JANUARY 23, 2024

Many developers and enterprises looking to use machine learning (ML) to generate insights from data get bogged down by operational complexity. The platform includes Snowpark ML to train machine learning models and run inference using Snowflake’s compute power. Ready to see Snowpark ML in action?

Machine Learning 118

Machine Learning Metadata Python Telecommunication 118

ProjectPro

JULY 23, 2021

You can use AWS cloud with nearest neighbor algorithms to work on this project. It includes built-in algorithms that do not need label data. AWS combined with nearest neighbor algorithms will provide accurate results and recommendations. For this project, use Amazon SageMaker. Github link- Hybrid Recommendation System 21.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

AltexSoft

JUNE 25, 2022

Artificial intelligence and machine learning tools are widely adopted within the insurance sector to automate claim processing. Machine learning-driven software can process vast amounts of heterogeneous data to uncover hidden indicators of fraud and correlate it to data delivered in real time to identify anomalies in expenses.

Insurance 52

Insurance Hospitality Machine Learning Education 52

Cloudera

NOVEMBER 18, 2020

2- Leverage Real-time Data and Machine Learning. Effective fraud prevention requires sophisticated analytical approaches driven by real-time data and Machine Learning. Learn more about Simudyne here. Watch this webinar to Quantexa demo. 3- Get a little Help from your Friends. fraud identification.

Banking 103

Banking Machine Learning Electronics Data 103

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

Cloudera

DECEMBER 14, 2020

CDP provides additional analytics capabilities with Cloudera Machine Learning to create algorithms for predictive analytics, Cloudera Data Warehouse to power business reports and other data-driven analytics. This webinar also includes documentation which details each step further to ensure your success in deploying CDP.

Process 68

Process Kafka Government Big Data 68

Knowledge Hut

DECEMBER 21, 2023

Data Engineer / Big Data Engineer Data engineers create and test flexible Big Data ecosystems for businesses to run their algorithms on reliable and well-optimized data platforms. Learn in-demand Skills: Focus on learning skills such as cloud computing, Machine Learning, and Big Data technologies.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Cloudera

OCTOBER 18, 2017

Data is sent to a central hub in the cloud where evidence-based algorithms can effectively predict which patients are at risk. For more information: Learn more about Cloudera’s data management platform for IoT. Listen to any of our OnDemand webinars: Simplifying Real-Time Architectures for IoT with Apache Kudu.

Healthcare 40

Healthcare Medical Hospitality Electronics 40

Edureka

JANUARY 12, 2024

Python is widely used for back-end web development, data science, and machine learning and is renowned for its simplicity and extensive libraries. Template Method Design Pattern: This pattern in object-oriented programming allows subclasses to redefine certain steps of an algorithm without changing the algorithm’s structure.

NoSQL 52

NoSQL Java MongoDB Programming 52

Databand.ai

DECEMBER 29, 2022

He recently joined Databand’s MAD Data Podcast to talk about how his team is building one of the most advanced experimentation and machine learning platforms in the world from the ground up. On LinkedIn, he posts regularly about AI, data, data science, data engineering, and machine learning.

BI 52

BI Consulting Data Science Data Governance 52

Monte Carlo

MARCH 28, 2024

For example, Chad Sanderson describes storytelling as an invaluable tool when it comes to persuading stakeholders to invest in data infrastructure over flashier machine learning models or new features that promise to generate millions of dollars. “It When they’re building models, are those models actually trustworthy?

Data 52

Data High Quality Data Machine Learning Accessible 52

Monte Carlo

MAY 17, 2023

Keep Critical Machine Learning Algorithms Online 27. Data observability platforms deploy machine learning monitors that detect issues as they become anomalous and provide the full context to data teams allowing them to jump into action. Save Analytical Engineer’s Time Increase revenue 22. Keep Customers Happy 26.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Keep Critical Machine Learning Algorithms Online 27. Data observability platforms deploy machine learning monitors that detect issues as they become anomalous and provide the full context to data teams allowing them to jump into action. Save analytical engineer’s time Increase revenue 22. Keep Customers Happy 26.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52