O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. Engineering Mentorship , June 24. Blockchain.

Course 49

Course Training Artificial Inteligence Software Review 49

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. Data science and data tools.

Course 45

Course Training Artificial Inteligence Machine Learning 45

CIO

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. The course includes hands-on projects to help build a portfolio to showcase your data science talents to potential employers.

Artificial Inteligence 317

Artificial Inteligence Data Machine Learning Azure 317

InfoQ Culture Methods

MARCH 19, 2020

The book AI Crash Course by Hadelin de Ponteves contains a toolkit of four different AI models: Thompson Sampling, Q-Learning, Deep Q-Learning and Deep Convolutional Q-learning. It teaches the theory of these AI models and provides coding examples for solving industry cases based on these models. By Ben Linders, Hadelin de Ponteves.

Course 113

Course Software Review Industry Examples 113

CIO

SEPTEMBER 2, 2022

With IT leaders increasingly needing data scientists to gain game-changing insights from a growing deluge of data, hiring and retaining those key data personnel is taking on greater importance. But there simply aren’t enough trained — not to mention experienced — data scientists for all the companies looking to harness them.

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

SEPTEMBER 1, 2022

With IT leaders increasingly needing data scientists to gain game-changing insights from a growing deluge of data, hiring and retaining those key data personnel is taking on greater importance. But there simply aren’t enough trained — not to mention experienced — data scientists for all the companies looking to harness them.

Data 246

Data Machine Learning Artificial Inteligence Training 246

CIO

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company.

Analytics 362

Analytics KPI IoT Azure 362

Confluent

JULY 11, 2019

To inspire and help developers embrace this fantastic event streaming technology, Stéphane Maarek and I authored a new KSQL course. For a KSQL newbie the practical exercises show you how to process data in Apache Kafka using an interactive SQL interface. Either way, we are thrilled to be able to offer the course for USD $9.99

Training 83

Training Course Exercises IoT 83

TechCrunch

OCTOBER 7, 2021

Now, a startup that is building tools to make it easier for engineers to implement the two simultaneously is announcing a round of growth funding to continue expanding its operations. “But now we are running into the bottleneck of the data. . “But now we are running into the bottleneck of the data.

Artificial Inteligence 246

Artificial Inteligence Technical Review Engineering Data 246

O'Reilly Media - Data

APRIL 11, 2018

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

Data Engineering 280

Data Engineering Engineering Data Artificial Inteligence 280

Altexsoft

JULY 23, 2020

The fusion of terms “machine learning” and “operations”, MLOps is a set of methods to automate the lifecycle of machine learning algorithms in production — from initial model training to deployment to retraining against new data. MLOps lies at the confluence of ML, data engineering, and DevOps. Training never ends.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Altexsoft

JUNE 29, 2021

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Altexsoft

FEBRUARY 11, 2023

Data architect and other data science roles compared Data architect vs data engineer Data engineer is an IT specialist that develops, tests, and maintains data pipelines to bring together data from various sources and make it available for data scientists and other specialists.

Data 87

Data Data Engineering Big Data Architecture 87

O'Reilly Media - Data

JULY 18, 2018

It’s no secret that companies place a lot of value on data and the data pipelines that produce key features. In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle.

Machine Learning 137

Machine Learning Artificial Inteligence Data Marketing 137

InnovationM

APRIL 18, 2024

Of course, implementing AI for predictive maintenance isn’t without its challenges. There are also concerns about data privacy and security, as well as the need for ongoing training to ensure that technicians can effectively utilize AI tools.

Industry 52

Industry Artificial Inteligence Artificial Intelligence Games 52

d2iq

FEBRUARY 19, 2021

Components that are unique to data engineering and machine learning (red) surround the model, with more common elements (gray) in support of the entire infrastructure on the periphery. Before you can build a model, you need to ingest and verify data, after which you can extract features that power the model.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

O'Reilly Media - Ideas

MARCH 6, 2019

Get hands-on training in machine learning, AWS, Kubernetes, Python, Java, and many other topics. Learn new topics and refine your skills with more than 170 new live online training courses we opened up for March and April on the O'Reilly online learning platform. Data science and data tools. Blockchain.

Course 10

Course Artificial Inteligence Training Microservices 10

Altexsoft

OCTOBER 30, 2021

If you’re an executive who has a hard time understanding the underlying processes of data science and get confused with terminology, keep reading. We will try to answer your questions and explain how two critical data jobs are different and where they overlap. Data science vs data engineering. Model training.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

O'Reilly Media - Data

JULY 10, 2018

Data scientists, data engineers, AI and ML developers, and other data professionals need to live ethical values, not just talk about them. The hard thing about being an ethical data scientist isn’t understanding ethics. It’s doing good data science. It’s the junction between ethical ideas and practice.

Data 173

Data Weak Development Team Software Review Culture 173

Altexsoft

AUGUST 25, 2021

Which of course means that there’s an abundance of research in this area. Not all language models are as impressive as this one, since it’s been trained on hundreds of billions of samples. These won’t be the texts as we see them, of course. There are two main steps for preparing data for the machine to understand.

Tools 139

Tools Artificial Inteligence Technical Review Systems Review 139

TechCrunch

SEPTEMBER 29, 2022

The startup, built by Stiglitz, Sourabh Bajaj , and Jacob Samuelson , pairs students who want to learn and improve on highly technical skills, such as devops or data science, with experts. Some classes, like this SQL crash course , are even taught by CoRise employees. Stiglitz says that the average completion rate of the course is 78%.

Course 180

Course Technical Review Machine Learning Artificial Inteligence 180

Apiumhub

JUNE 22, 2021

Data Innovation Summit topics. Data Innovation Summit is here to help you hear cutting-edge content, meet and engage with peers and find solutions to your most pressing challenges.

Innovation 83

Innovation Data Technical Review Artificial Inteligence 83

Cloudera

FEBRUARY 25, 2021

AMPs enable data scientists to go from an idea to a fully working ML use case in a fraction of the time, with an end-to-end framework for building, deploying, and monitoring business-ready ML applications instantly. . Train a convolutional neural network using only a few labeled data points. Active Learning.

Machine Learning 81

Machine Learning Artificial Inteligence Telecommunications Enterprise 81

DataRobot

MARCH 10, 2022

With Snowflake’s newest feature release, Snowpark , developers can now quickly build and scale data-driven pipelines and applications in their programming language of choice, taking full advantage of Snowflake’s highly performant and scalable processing engine that accelerates the traditional data engineering and machine learning life cycles.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

O'Reilly Media - Ideas

JULY 1, 2019

One area I’m particularly interested in is the application of AI and automation technologies in data science, data engineering, and software development. For a typical data scientist, data engineer, or developer, there is an explosion of tools and APIs they now need to work with and “master.”

Software Development 60

Software Development Artificial Inteligence Software Machine Learning 60

O'Reilly Media - Ideas

FEBRUARY 11, 2019

When asked what holds back the adoption of machine learning and AI, survey respondents for our upcoming report, “Evolving Data Infrastructure,” cited “company culture” and “difficulties in identifying appropriate business use cases” among the leading reasons. Foundational data technologies. Text and Language processing and analysis.

Big Data 85

Big Data Technology Tools Cloud 85

High Scalability

MARCH 17, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. For the first time ever, you can now sign up for a subscription to get unlimited access to every course on the platform at a discounted price through the holiday period only.

Education 42

Education PHP System Design Advertising 42

High Scalability

MARCH 3, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. For the first time ever, you can now sign up for a subscription to get unlimited access to every course on the platform at a discounted price through the holiday period only.

Research 45

Research Education Video PHP 45

High Scalability

FEBRUARY 18, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. For the first time ever, you can now sign up for a subscription to get unlimited access to every course on the platform at a discounted price through the holiday period only.

Research 45

Research Education Video PHP 45

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. But it requires a different engineering approach and not just because of its amount. Data engineering vs big data engineering.

Big Data 75

Big Data Data Engineering Engineering Data 75

High Scalability

MARCH 24, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. For the first time ever, you can now sign up for a subscription to get unlimited access to every course on the platform at a discounted price through the holiday period only.

Education 42

Education Software Engineering PHP System Design 42

High Scalability

FEBRUARY 9, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. For the first time ever, you can now sign up for a subscription to get unlimited access to every course on the platform at a discounted price through the holiday period only.

Research 43

Research Education Video PHP 43

High Scalability

MARCH 30, 2020

Level up on in-demand technologies and prep for your interviews on Educative.io, featuring popular courses like the bestselling Grokking the System Design Interview. For the first time ever, you can now sign up for a subscription to get unlimited access to every course on the platform at a discounted price through the holiday period only.

Education 42

Education System Design Software Engineering PHP 42

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

High Scalability

APRIL 14, 2020

Check out Educative.io's bestselling new 4-course learning track: Scalability and System Design for Developers. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Learn how to train interviewers so everyone's on the same page.

Education 42

Education System Design Scalability Software Engineering 42

High Scalability

MAY 12, 2020

Check out Educative.io's bestselling new 4-course learning track: Scalability and System Design for Developers. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Learn how to train interviewers so everyone's on the same page.

Education 41

Education System Design Scalability Software Engineering 41

High Scalability

APRIL 28, 2020

Check out Educative.io's bestselling new 4-course learning track: Scalability and System Design for Developers. Etleap is analyst-friendly , enterprise-grade ETL-as-a-service , built for Redshift and Snowflake data warehouses and S3/Glue data lakes. Learn how to train interviewers so everyone's on the same page.

Education 41

Education System Design Scalability Software Engineering 41