Analytics Vidhya

FEBRUARY 21, 2022

Image designed by the author – Shanthababu Introduction Every ML Engineer and Data Scientist must understand the significance of “Hyperparameter Tuning (HPs-T)” while selecting your right machine/deep learning model and improving the performance of the model(s). This article was published as a part of the Data Science Blogathon.

ML Engineer 320

ML Engineer Data Scientist Deep Learning Data Science 320

Analytics Vidhya

OCTOBER 22, 2021

This article was published as a part of the Data Science Blogathon Introduction Working as an ML engineer, it is common to be in situations where you spend hours to build a great model with desired metrics after carrying out multiple iterations and hyperparameter tuning but cannot get back to the same results with the […].

Machine Learning 312

Machine Learning ML Engineer Data Science ML 312

Marktechpost

JULY 19, 2023

In the actual world, machine learning (ML) systems can embed issues like societal prejudices and safety worries. Stakeholders such as ML engineers, designers, and domain experts must work together to identify a model’s expected and potential faults. Zeno is made available to the public via a Python script.

Machine Learning 52

Machine Learning ML Python Metadata 52

Pickl AI

JANUARY 29, 2024

2024 Tech breakdown: Understanding Data Science vs ML vs AI Quoting Eric Schmidt , the former CEO of Google, ‘There were 5 exabytes of information created between the dawn of civilisation through 2003, but that much information is now created every two days.’ AI comprises Natural Language Processing, computer vision, and robotics.

Data Science 52

Data Science ML Machine Learning Artificial Intelligence 52

AWS Machine Learning Blog

NOVEMBER 21, 2023

By taking care of the undifferentiated heavy lifting, SageMaker allows you to focus on working on your machine learning (ML) models, and not worry about things such as infrastructure. Prior to working at Amazon Music, Siddharth was working at companies like Meta, Walmart Labs, Rakuten on E-Commerce centric ML Problems.

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ML Deep Learning Machine Learning DevOps 82

IBM Journey to AI blog

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. What is MLOps?

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Data Science DevOps Machine Learning Data Scientist 144

AWS Machine Learning Blog

DECEMBER 19, 2023

Artificial intelligence (AI) and machine learning (ML) are becoming an integral part of systems and processes, enabling decisions in real time, thereby driving top and bottom-line improvements across organizations. However, putting an ML model into production at scale is challenging and requires a set of best practices.

Machine Learning 104

Machine Learning ML Engineer DevOps ML 104

Towards AI

FEBRUARY 15, 2024

AI Engineers: Your Definitive Career Roadmap Become a professional certified AI engineer by enrolling in the best AI ML Engineer certifications that help you earn skills to get the highest-paying job. Author(s): Jennifer Wales Originally published on Towards AI. These include the ability to solve problems and communicate.

AI Engineer 94

AI Engineer Software Engineer Artificial Intelligence Artificial Intelligence 94

Marktechpost

AUGUST 8, 2023

In the ever-evolving landscape of machine learning, feature management has emerged as a key pain point for ML Engineers at Airbnb. Chronon empowers ML practitioners to define features and centralize data computation for model training and production inference, guaranteeing accuracy and consistency throughout the process.

Machine Learning 98

Machine Learning ML Engineer Data Ingestion ML 98

ODSC - Open Data Science

SEPTEMBER 21, 2023

The following is an extract from Andrew McMahon’s book , Machine Learning Engineering with Python, Second Edition. Secondly, to be a successful ML engineer in the real world, you cannot just understand the technology; you must understand the business. What does an ML solution look like?

Machine Learning 98

Machine Learning ML Engineer ML Data Science 98

Towards AI

AUGUST 25, 2023

As a reminder, I highly recommend that you refer to more than one resource (other than documentation) when learning ML, preferably a textbook geared toward your learning level (beginner/intermediate / advanced). In a nutshell, AI Engineering is the application of software engineering best practices to the field of AI.

Software Engineer 96

Software Engineer Machine Learning Neural Network Artificial Intelligence 96

Pickl AI

APRIL 19, 2023

Different industries from education, healthcare to marketing, retail and ecommerce require Machine Learning Engineers. Job market will experience a rise of 13% by 2026 for ML Engineers Why is Machine Learning Important? It includes learning Python, R, Java, C++, SQL, etc. Consequently.

Machine Learning 52

Machine Learning ML Engineer Data Scientist ML 52

ODSC - Open Data Science

FEBRUARY 22, 2024

Key points of this talk are: In this talk, we will focus on: The dangers of using post-hoc explainability methods as tools for decision making, and how traditional ML isn’t suited in situations where want to perform interventions on the system. technical architecture that simplifies the process of managing real-time ML models and features.

Machine Learning 52

Machine Learning Data Science Python ML 52

ODSC - Open Data Science

FEBRUARY 2, 2023

Machine Learning As machine learning is one of the most notable disciplines under data science, most employers are looking to build a team to work on ML fundamentals like algorithms, automation, and so on. While knowing Python, R, and SQL are expected, you’ll need to go beyond that.

Data Science 98

Data Science Data Scientist Big Data Machine Learning 98

ODSC - Open Data Science

DECEMBER 7, 2023

We’ll also discuss some of the benefits of using set union(), and we’ll see why it’s a popular tool for Python developers. ODSC Highlights Watch Our Top Virtual Sessions from ODSC West 2023 Here From keynote sessions to half-day workshops, these are the top-rated sessions from ODSC West 2023 that you can now watch on-demand.

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Explainable AI Data Scientist Data Science Python 98

ODSC - Open Data Science

FEBRUARY 20, 2023

Here are a few other training sessions you can check out during the event: An Introduction to Data Wrangling with SQL: Sheamus McGovern | CEO and ML Engineer | ODSC Advanced Fraud Modeling & Anomaly Detection with Python & R: Aric LaBarr, PhD | Associate Professor of Analytics | Institute for Advanced Analytics at NC State University Machine (..)

Data Science 96

Data Science Machine Learning ML Engineer Python 96

Pickl AI

APRIL 5, 2023

ML forms the underlying platform for several new developments. Hence, it has also triggered the demand for ML experts. However, if you are new to the tech domain and want to learn Machine Learning for free, then in this blog, we will take you through the 3 best options to start your ML learning journey. Lakhs to ₹ 28.4

Machine Learning 52

Machine Learning ML Engineer ML Data Scientist 52

AWS Machine Learning Blog

APRIL 11, 2023

Developing web interfaces to interact with a machine learning (ML) model is a tedious task. With Streamlit , developing demo applications for your ML solution is easy. Streamlit is an open-source Python library that makes it easy to create and share web apps for ML and data science.

ML Engineer 73

ML Engineer ML Data Scientist Machine Learning 73

AWS Machine Learning Blog

JANUARY 17, 2023

Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning (ML) partly based on JupyterLab 3. Studio provides a web-based interface to interactively perform ML development tasks required to prepare data and build, train, and deploy ML models. The AWS CDK is installed.

Software Engineer 75

Software Engineer ML Engineer ML Machine Learning 75

TheSequence

JULY 12, 2023

In 2018, I joined Cruise and cofounded the ML Infrastructure team there. We built many critical platform systems that enabled the ML teams to develop and ship models much faster, which contributed to the commercial launch of robotaxis in San Francisco in 2022. This required large end-to-end pipelines.

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ML Python Machine Learning Metadata 97

AWS Machine Learning Blog

DECEMBER 13, 2023

Machine learning (ML) models do not operate in isolation. To deliver value, they must integrate into existing production systems and infrastructure, which necessitates considering the entire ML lifecycle during design and development. GitHub serves as a centralized location to store, version, and manage your ML code base.

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ML Automation Metadata Software Development 100

ODSC - Open Data Science

APRIL 18, 2023

Confirmed sessions include: An Introduction to Data Wrangling with SQL with Sheamus McGovern, Software Architect, Data Engineer, and AI expert Programming with Data: Python and Pandas with Daniel Gerlanc, Sr.

Data Science 98

Data Science Software Architect ML Engineer Machine Learning 98

ODSC - Open Data Science

JANUARY 10, 2024

Takeaways include: The dangers of using post-hoc explainability methods as tools for decision-making, and where traditional ML falls short. You will also become familiar with the concept of LLM as a reasoning engine that can power your applications, paving the way to a new landscape of software development in the era of Generative AI.

Large Language Models 52

Large Language Models LLM Deep Learning ML 52

AWS Machine Learning Blog

FEBRUARY 26, 2024

Refer to the Python documentation for an example. Rushabh Lokhande is a Senior Data & ML Engineer with AWS Professional Services Analytics Practice. The function sends that average to CloudWatch metrics. Summary LLM observability is a critical practice for ensuring the reliable and trustworthy use of LLMs.

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Large Language Models LLM Big Data Natural Language Processing 112

TheSequence

MAY 24, 2023

I originally did a master's degree in physics focusing on astrophysics, but around that time, I noticed the breakthroughs happening in ML so I decided to switch the focus of my studies towards ML. Were there any research breakthroughs in StarCoder, or would you say it was more of a crafty ML engineering effort?

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Auto-complete ML Python Machine Learning 59

Flipboard

NOVEMBER 24, 2023

With that, the need for data scientists and machine learning (ML) engineers has grown significantly. Data scientists and ML engineers require capable tooling and sufficient compute for their work. Data scientists and ML engineers require capable tooling and sufficient compute for their work.

ML 95

ML DevOps Data Scientist ML Engineer 95

Heartbeat

SEPTEMBER 6, 2023

When working on an ML project, we must compare various machine learning models with different hyperparameters and want to understand which models and hyperparameters are most effective for our use case. We can install this library in the same way as other Python libraries, using pip . We pay our contributors, and we don't sell ads.

Machine Learning 52

Machine Learning Deep Learning Auto-complete Data Scientist 52

The MLOps Blog

OCTOBER 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. How do I develop my body of work?

ML 52

ML Data Scientist Machine Learning Data Science 52

The MLOps Blog

MAY 10, 2023

When working on real-world machine learning (ML) use cases, finding the best algorithm/model is not the end of your responsibilities. Reusability & reproducibility: Building ML models is time-consuming by nature. Save vs package vs store ML models Although all these terms look similar, they are not the same.

Python 106

Python Metadata ML Deep Learning 106

Pickl AI

MAY 30, 2023

Instances of Professionals courses include Data Science Bootcamp Job Guarantee, Python for Data Science, Data Analytics, Business Analytics, etc. Moreover, you can easily opt for 6 month certification program that pays well in the field that will allow you to gain perfection in ML. Lakhs annually.

Data Mining 52

Data Mining Data Science Deep Learning Machine Learning 52

Viso.ai

JANUARY 30, 2024

It enables enterprises to create and implement computer vision solutions , featuring built-in ML tools for data collection, annotation, and model training. In overfitting , there are too few examples for the ML model to work on. For variance, it often helps to add data points that will make trends clearer to the ML.

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Data Drift Machine Learning Computer Vision Algorithm 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

ML 52

ML Python Machine Learning Data Scientist 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

ML 52

ML Python Machine Learning Data Scientist 52

AWS Machine Learning Blog

NOVEMBER 9, 2023

Building out a machine learning operations (MLOps) platform in the rapidly evolving landscape of artificial intelligence (AI) and machine learning (ML) for organizations is essential for seamlessly bridging the gap between data science experimentation and deployment while meeting the requirements around model performance, security, and compliance.

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Data Drift Auto-complete ML Automation 99

Heartbeat

JULY 17, 2023

Prerequisites To follow along with this tutorial, make sure you: Use a Google Colab Notebook to follow along Install these Python packages using pip: CometML , PyTorch, TorchVision, Torchmetrics and Numpy, Kaggle %pip install - upgrade comet_ml>=3.10.0 !pip We pay our contributors, and we don’t sell ads.

Computer Vision 52

Computer Vision Auto-classification Deep Learning Machine Learning 52

AWS Machine Learning Blog

JUNE 23, 2023

For data scientists, moving machine learning (ML) models from proof of concept to production often presents a significant challenge. Additionally, you can use AWS Lambda directly to expose your models and deploy your ML applications using your preferred open-source framework, which can prove to be more flexible and cost-effective.

Large Language Models 87

Large Language Models ML Python Machine Learning 87

The MLOps Blog

AUGUST 3, 2023

This article was originally an episode of the ML Platform Podcast , a show where Piotr Niedźwiedź and Aurimas Griciūnas, together with ML platform professionals, discuss design choices, best practices, example tool stacks, and real-world learnings from some of the best ML platform professionals. Stefan: Yeah.

ML 52

ML Data Scientist Software Engineer Machine Learning 52