Data Science Dojo

JANUARY 20, 2023

Bellevue, Washington (January 11, 2023) – The following statement was released today by Data Science Dojo, through its Marketing Manager Nathan Piccini, in response to questions about future in-person bootcamps: “They’re back.”

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Data Science Dojo

SEPTEMBER 5, 2024

Data science and computer science are two pivotal fields driving the technological advancements of today’s world. It has, however, also led to the increasing debate of data science vs computer science. It has, however, also led to the increasing debate of data science vs computer science.

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Data Science Dojo

SEPTEMBER 5, 2024

Data science and computer science are two pivotal fields driving the technological advancements of today’s world. It has, however, also led to the increasing debate of data science vs computer science. It has, however, also led to the increasing debate of data science vs computer science.

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DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Rockets legacy data science environment challenges Rockets previous data science solution was built around Apache Spark and combined the use of a legacy version of the Hadoop environment and vendor-provided Data Science Experience development tools.

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AWS Machine Learning Blog

NOVEMBER 19, 2024

This year, generative AI and machine learning (ML) will again be in focus, with exciting keynote announcements and a variety of sessions showcasing insights from AWS experts, customer stories, and hands-on experiences with AWS services. Visit the session catalog to learn about all our generative AI and ML sessions.

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Data Science Dojo

FEBRUARY 13, 2025

In this blog, well explore the top AI conferences in the USA for 2025, breaking down what makes each one unique and why they deserve a spot on your calendar. Data Security & Ethics Understand the challenges of AI governance, ethical AI, and data privacy compliance in an evolving regulatory landscape. Lets dive in!

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Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. Advancements in data processing, storage, and analysis technologies power this transformation.

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Data Science Dojo

JULY 5, 2024

Modern businesses are embracing machine learning (ML) models to gain a competitive edge. Hence, improving the overall efficiency of the business and allow them to make data-driven decisions. Deploying ML models in their day-to-day processes allows businesses to adopt and integrate AI-powered solutions into their businesses.

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Towards AI

MARCH 14, 2024

How do you best learn Data Science and then get a Job? What is data science??? All the way back in 2012, Harvard Business Review said that Data Science was the sexiest job of the 21st century and recently followed up with an updated version of their article. How long does it take, and how much does it cost?

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Towards AI

APRIL 10, 2024

How much machine learning really is in ML Engineering? There are so many different data- and machine-learning-related jobs. But what actually are the differences between a Data Engineer, Data Scientist, ML Engineer, Research Engineer, Research Scientist, or an Applied Scientist?! It’s so confusing!

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IBM Data Science in Practice

JANUARY 9, 2024

Many businesses are in different stages of their MAS AI/ML modernization journey. In this blog, we delve into 4 different “on-ramps” we created in a MAS Accelerator to offer a straightforward path to harnessing the power of AI in MAS, wherever you may be on your MAS AI/ML modernization journey.

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AWS Machine Learning Blog

JANUARY 5, 2024

This post was written in collaboration with Bhajandeep Singh and Ajay Vishwakarma from Wipro’s AWS AI/ML Practice. Many organizations have been using a combination of on-premises and open source data science solutions to create and manage machine learning (ML) models.

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Towards AI

JULY 22, 2024

I have been studying machine learning for the past 6 years, in which I worked as an ML student researcher for over 2 years, and have even written my first 3 papers. My journey started studying computer engineering, not knowing what ML was or even that it existed, to where I am now, soon joining my favorite AI startup as a research scientist!

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databricks

DECEMBER 12, 2023

Introduction Databricks Lakehouse Monitoring allows you to monitor all your data pipelines – from data to features to ML models – without additional too.

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AWS Machine Learning Blog

OCTOBER 20, 2023

Customers of every size and industry are innovating on AWS by infusing machine learning (ML) into their products and services. Recent developments in generative AI models have further sped up the need of ML adoption across industries.

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Towards AI

JANUARY 3, 2025

A ranking of AI and Data Science publications based on combined Medium and social media followers This member-only story is on us. To rank the publications, I collected data on their internal Medium followers as well as their external social media followers. Join thousands of data leaders on the AI newsletter.

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AWS Machine Learning Blog

OCTOBER 24, 2024

Machine learning (ML) helps organizations to increase revenue, drive business growth, and reduce costs by optimizing core business functions such as supply and demand forecasting, customer churn prediction, credit risk scoring, pricing, predicting late shipments, and many others. Let’s learn about the services we will use to make this happen.

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databricks

APRIL 3, 2023

In the United States, roughly 7 out of every 1000 mothers suffer from both pregnancy and delivery complications each year1. Of those mothers.

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Towards AI

DECEMBER 26, 2024

4 Things to Keep in Mind Before Deploying Your ML Models This member-only story is on us. medium.com Regardless of the project, it might be software development or ML Model building. Join thousands of data leaders on the AI newsletter. Upgrade to access all of Medium. If you are not a member, read the full article here.

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Data Science Dojo

SEPTEMBER 23, 2024

This powerful yet simple concept helps data scientists and machine learning practitioners assess the accuracy of classification algorithms , providing insights into how well a model is performing in predicting various classes. In this blog, we will explore the concept of a confusion matrix using a spam email example.

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AWS Machine Learning Blog

OCTOBER 22, 2024

Amazon SageMaker is a cloud-based machine learning (ML) platform within the AWS ecosystem that offers developers a seamless and convenient way to build, train, and deploy ML models. He focuses on architecting and implementing large-scale generative AI and classic ML pipeline solutions.

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Towards AI

NOVEMBER 20, 2023

Success… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. Last Updated on November 21, 2023 by Editorial Team Author(s): Amit Chauhan Originally published on Towards AI. Join over 80,000 subscribers and keep up to date with the latest developments in AI.

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Towards AI

JULY 2, 2024

What are the most important skills for an ML Engineer? Well, I asked ML engineers at all these companies to share what they consider the top skills… And I’m telling you, there were a lot of answers I received and I bet you didn’t even think of many of them! Don’t get hung… Read the full blog for free on Medium.

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Towards AI

FEBRUARY 6, 2024

What you need to expect when entering the field of ML research. So, with this post, I definitely don’t want to talk down the ML researcher career, but I want to shed some light on what the harsh reality of being an ML researcher can look like and whether it is something for you. Very difficult. But not impossible.

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Data Science Dojo

FEBRUARY 20, 2023

In this blog, we’ll show you how to boost your MLOps efficiency with 6 essential tools and platforms. Machine learning (ML) is the technology that automates tasks and provides insights. Machine learning (ML) is the technology that automates tasks and provides insights. It also has ML algorithms built into the platform.

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Data Science Dojo

MARCH 8, 2024

This blog delves into a detailed comparison between the two data management techniques. In today’s digital world, businesses must make data-driven decisions to manage huge sets of information. Hence, databases are important for strategic data handling and enhanced operational efficiency.

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AWS Machine Learning Blog

NOVEMBER 29, 2023

Data preparation is a crucial step in any machine learning (ML) workflow, yet it often involves tedious and time-consuming tasks. Amazon SageMaker Canvas now supports comprehensive data preparation capabilities powered by Amazon SageMaker Data Wrangler.

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IBM Data Science in Practice

MARCH 8, 2023

The growth of the AI and Machine Learning (ML) industry has continued to grow at a rapid rate over recent years. Hidden Technical Debt in Machine Learning Systems More money, more problems — Rise of too many ML tools 2012 vs 2023 — Source: Matt Turck People often believe that money is the solution to a problem.

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AWS Machine Learning Blog

OCTOBER 28, 2024

Real-world applications vary in inference requirements for their artificial intelligence and machine learning (AI/ML) solutions to optimize performance and reduce costs. SageMaker Model Monitor monitors the quality of SageMaker ML models in production. Your client applications invoke this endpoint to get inferences from the model.

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Data Science Dojo

DECEMBER 28, 2023

That world is not science fiction—it’s the reality of machine learning (ML). In this blog post, we’ll break down the end-to-end ML process in business, guiding you through each stage with examples and insights that make it easy to grasp. Cleaning the data to remove errors and inconsistencies.

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Towards AI

JANUARY 9, 2024

You see, AI is just the most general term for decision-making algorithms and does not necessarily mean ML. But a subset of… Read the full blog for free on Medium. Join thousands of data leaders on the AI newsletter. In fact, as far as I know, AI itself is a bit difficult to define.

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AWS Machine Learning Blog

OCTOBER 1, 2024

Over the last 18 months, AWS has announced more than twice as many machine learning (ML) and generative artificial intelligence (AI) features into general availability than the other major cloud providers combined. These services play a pivotal role in addressing diverse customer needs across the generative AI journey.

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Data Science Dojo

APRIL 16, 2024

In this blog, we will explore the top 10 AI jobs and careers that are also the highest-paying opportunities for individuals in 2024. Machine learning (ML) engineer Potential pay range – US$82,000 to 160,000/yr Machine learning engineers are the bridge between data science and engineering.

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AWS Machine Learning Blog

SEPTEMBER 20, 2023

In these scenarios, as you start to embrace generative AI, large language models (LLMs) and machine learning (ML) technologies as a core part of your business, you may be looking for options to take advantage of AWS AI and ML capabilities outside of AWS in a multicloud environment.

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Towards AI

JANUARY 19, 2025

ML algorithms like gradient descent struggle with this kind of feature because large-scale features often dominate the optimization process. Scaling makes sure that all features are treated equally by ML models, because that way we can enhance the models accuracy and convergence speed. It ultimately leads to skewed results.

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Towards AI

JANUARY 6, 2025

So, in this blog post, I will share my six secret tips, which I hope will show you that in 2025, there are many different ways to get a job in ML. When he found out that his fix actually improved the performance, he knew he had something to share… Read the full blog for free on Medium.

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