AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 115

Artificial Inteligence Generative AI Security Applications 115

O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Data Analysis Paradigms in the Tidyverse , May 30. Data Visualization with Matplotlib and Seaborn , June 4. Apache Hadoop, Spark and Big Data Foundations , June 5. Real-time Data Foundations: Kafka , June 11.

Course 46

Course Training Artificial Inteligence Machine Learning 46

O'Reilly Media - Ideas

JUNE 4, 2019

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 66

Course Training Artificial Inteligence Software Review 66

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Big Data , February 26-27. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. SQL Fundamentals for Data , February 19-20.

Course 58

Course Artificial Inteligence Training Blockchain 58

Linux Academy

JANUARY 29, 2019

Big Data Essentials – Big Data Essentials is a comprehensive introduction to the world of Big Data. Starting with the definition of Big Data, we describe the various characteristics of Big Data and its sources. No prior AWS experience is required.

Linux 60

Linux Technical Review AWS Big Data 60

O'Reilly Media - Ideas

JUNE 5, 2019

Understanding Data Science Algorithms in R: Scaling, Normalization and Clustering , August 14. Real-time Data Foundations: Spark , August 15. Visualization and Presentation of Data , August 15. Python Data Science Full Throttle with Paul Deitel: Introductory AI, Big Data and Cloud Case Studies , September 24.

Course 50

Course Training Artificial Inteligence Software Review 50

Linux Academy

JUNE 25, 2019

Towards the end of the course, the student will experience using CloudFormation with other technologies like Docker, Jenkins, and Lambda. This course gives hands-on experience with the microservice architecture and shows why this method has become highly sought after. Big Data Essentials. Google Cloud Concepts.

Linux 60

Linux Course Cloud Google Cloud 60

Ruminations of a Programmer

DECEMBER 31, 2014

I look forward to 2015 as the year when randomized algorithms, probabilistic techniques and data structures become more pervasive and mainstream. The primary driving factors for this will be more and more prevalence of big data and the necessity to process them in near real time using minimal (or constant) memory bandwidth.

Data 54

Data Machine Learning Artificial Inteligence Analytics 54

RapidValue

AUGUST 4, 2020

There is an accumulation of outdated data like reports and log files. It requires setting up process and workflows, deep expertise, and the right data. Imperfect architecture design leads to applications that are poorly designed for cloud-based platforms. Budget forecasting sometimes could get complex.

Cloud 92

Cloud How To Azure AWS 92

Apiumhub

OCTOBER 2, 2019

Staying up-to-date with best practices and latest developments is crucial, especially when it comes to software architecture and development. Frontend Architecture. Backend Architecture. Android Architecture. Software Architecture. Architecture, Agility and DevOps in Amazon AWS, Microsoft Azure and Google Cloud.

Software Review 9

Software Review Software Development Technical Review Course 9

CIO

OCTOBER 18, 2023

Putting data to work to improve health outcomes “Predicting IDH in hemodialysis patients is challenging due to the numerous patient- and treatment-related factors that affect IDH risk,” says Pete Waguespack, director of data and analytics architecture and engineering for Fresenius Medical Care North America.

Artificial Inteligence 334

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 334

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Data science and data tools. Business Data Analytics Using Python , February 27. Designing and Implementing Big Data Solutions with Azure , March 11-12. Cleaning Data at Scale , March 19. Practical Data Cleaning with Python , March 20-21. Programming with Java Lambdas and Streams , March 5.

Artificial Inteligence 11

Artificial Inteligence Course Training Artificial Intelligence 11

Honeycomb

MAY 23, 2022

If we’ve learned one thing from our migration to Graviton2, it’s that improving the performance of big-data, high-performance computing only gives our customers more speed and options for analyzing data at scale. Instances[]' | jq -cs '.[] | {arch: Architecture, type: InstanceType, tags: (.Tags//[])|from_entries|{name:

AWS 88

AWS Lambda Architecture Testing 88

O'Reilly Media - Ideas

MARCH 6, 2019

Artificial Intelligence for Big Data , April 15-16. Managing Enterprise Data Strategies with Hadoop, Spark, and Kafka , April 15. Real-Time Data Foundations: Flink , April 17. Data Pipelining with Luigi and Spark , April 17. Real-Time Data Foundations: Time Series Architectures , April 18.

Course 10

Course Artificial Inteligence Training Microservices 10

RapidValue

JULY 31, 2019

Serverless architecture is another buzzword to hit the cloud-native space, but what is it, is it worthwhile and how can it work for you? Serverless architecture is on the rise and is rapidly gaining acceptance. What is Serverless Architecture? The adoption of serverless architecture is growing rapidly.

Serverless 47

Serverless Architecture Cloud Development 47

Mentormate

MAY 12, 2020

The true power of the service is that you commit to compute resources (Amazon EC2, AWS Fargate, and AWS Lambda), and not to a specific EC2 instance type of family. Examples of such workloads are big data, containerized workloads, CI/CD, web servers, and high-performance computing (HPC). Rearchitecting. Relational Databases.

AWS 98

AWS Cloud Serverless Lambda 98

Altexsoft

JUNE 1, 2020

Data lakes are repositories used to store massive amounts of data, typically for future analysis, big data processing, and machine learning. A data lake can enable you to do more with your data. What Is a Data Lake? Since data lakes are capable of storing multiple types of data, ELT is preferred.

Data 69

Data Cloud Azure Storage 69

Cloudera

NOVEMBER 2, 2020

Correlations across data domains, even if they are not traditionally stored together (e.g. real-time customer event data alongside CRM data; network sensor data alongside marketing campaign management data). The extreme scale of “big data”, but with the feel and semantics of “small data”.

Data 97

Data Analytics Storage Big Data 97

Linux Academy

NOVEMBER 6, 2019

Using SQL to Retrieve Data. Using SQL to Change Data. Provisioning a Gen 2 Azure Data Lake . Trigger an AWS Lambda Function from an S3 Event. Setting Up Lambda Functions with S3 Event Triggers. Testing and Debugging Lambda Functions. Data and Asset Security. Network Architecture. Cryptography.

Google Cloud 16

Google Cloud Linux Azure AWS 16

Altexsoft

MAY 20, 2020

But to build and run a robust infrastructure, a manufacturer or service provider needs a solid foundation — or, in other words, an IoT platform that connects devices, collects data, and creates insights. IoT architecture layers.

IoT 141

IoT Azure AWS Transportation 141

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

Saviynt

JANUARY 7, 2020

AWS Lambda and Azure Functions offer examples of this challenge. Saviynt’s cloud-native platform uses Big Data technologies like ElasticSearch and Hadoop architecturally. These serverless technologies build security into the functions and offer varying monitoring and alerting capabilities.

Software Review 12

Software Review Technical Review Compliance Government 12

O'Reilly Media - Ideas

JANUARY 25, 2021

While we can’t compare in-person conference data with virtual event data, we can make a few observations. The most successful superstream series focused on software architecture and infrastructure and operations. The in-person O’Reilly Software Architecture Conference was small but growing. Starting with Python 3.0

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145