Analytics Vidhya

OCTOBER 15, 2021

This article was published as a part of the Data Science Blogathon What is Model Monitoring and why is it required? Machine learning creates static models from historical data. But, once deployed in production, ML models become unreliable and obsolete and degrade with time.

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Analytics Vidhya

JUNE 12, 2023

Introduction Meet Tajinder, a seasoned Senior Data Scientist and ML Engineer who has excelled in the rapidly evolving field of data science. Tajinder’s passion for unraveling hidden patterns in complex datasets has driven impactful outcomes, transforming raw data into actionable intelligence.

Data Scientist 306

Data Scientist Machine Learning Machine Learning Data Science 306

Data Science Dojo

APRIL 25, 2023

SQL (Structured Query Language) is an important tool for data scientists. It is a programming language used to manipulate data stored in relational databases. Mastering SQL concepts allows a data scientist to quickly analyze large amounts of data and make decisions based on their findings.

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Data Scientist SQL Machine Learning Machine Learning 370

Analytics Vidhya

APRIL 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction One of the key challenges in Machine Learning Model is the explainability of the ML Model that we are building. In general, ML Model is a Black Box.

ML 290

ML ML Data Scientist Machine Learning 290

Data Science Dojo

FEBRUARY 23, 2024

GPTs for Data science are the next step towards innovation in various data-related tasks. These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. However, our focus lies on exploring the GPTs for data science available on the platform.

Data Science 342

Data Science Data Analysis Data Analysis Machine Learning 342

Analytics Vidhya

FEBRUARY 24, 2021

ArticleVideo Book Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional appeared first on Analytics Vidhya.

Data Science 372

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Flipboard

NOVEMBER 22, 2024

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. This post dives deep into how to set up data governance at scale using Amazon DataZone for the data mesh. The data mesh is a modern approach to data management that decentralizes data ownership and treats data as a product.

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Analytics Vidhya

DECEMBER 11, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine learning (ML) has become an increasingly important tool for organizations of all sizes, providing the ability to learn and improve from data automatically.

Machine Learning 360

Machine Learning Machine Learning Data Scientist Data Science 360

insideBIGDATA

FEBRUARY 23, 2023

Here’s a new title that is a “must have” for any data scientist who uses the R language. It’s a wonderful learning resource for tree-based techniques in statistical learning, one that’s become my go-to text when I find the need to do a deep dive into various ML topic areas for my work.

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Analytics Vidhya

OCTOBER 31, 2023

Introduction Have you ever wondered what the future holds for data science careers? Data science has become the topmost emerging field in the world of technology. There is an increased demand for skilled data enthusiasts in the field of data science.

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Data Science Dojo

JANUARY 13, 2023

In this blog, we will share the list of leading data science conferences across the world to be held in 2023. This will help you to learn and grow your career in data science, AI and machine learning. Top data science conferences 2023 in different regions of the world 1.

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Analytics Vidhya

JANUARY 1, 2023

The post Step-by-Step Guide to Become a Data Scientist in 2023 appeared first on Analytics Vidhya. Despite facing many challenges and setbacks, they never gave up on their dream. Eventually, their hard work and determination paid off, as they landed […].

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Analytics Vidhya

FEBRUARY 21, 2022

This article was published as a part of the Data Science Blogathon. 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).

Deep Learning 337

Deep Learning Deep Learning Data Scientist Data Science 337

Analytics Vidhya

NOVEMBER 6, 2020

Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry-Ready Data Science Professional appeared first on Analytics Vidhya.

Data Science 264

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Analytics Vidhya

NOVEMBER 1, 2021

This article was published as a part of the Data Science Blogathon. Image 1- [link] Whether you are an experienced or an aspiring data scientist, you must have worked on machine learning model development comprising of data cleaning, wrangling, comparing different ML models, training the models on Python Notebooks like Jupyter.

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AWS Data Scientist Machine Learning Machine Learning 319

Flipboard

DECEMBER 7, 2023

Master Data Science with Top 10 Kaggle ML Projects to become a Data Scientist.

Data Scientist 178

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Analytics Vidhya

JULY 22, 2022

This article was published as a part of the Data Science Blogathon. And every Data Scientist wants to progress as fast as possible, so time-saving tips & tricks are a big deal as well. That’s why low-code tools are adopted among data scientists. So, there are two […].

Machine Learning 378

Machine Learning Machine Learning Data Scientist Data Science 378

Dataconomy

MAY 16, 2023

Machine learning engineer vs data scientist: two distinct roles with overlapping expertise, each essential in unlocking the power of data-driven insights. As businesses strive to stay competitive and make data-driven decisions, the roles of machine learning engineers and data scientists have gained prominence.

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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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Computer Science Computer Science Data Science Machine Learning 195

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.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Dataconomy

JULY 24, 2023

If you’ve found yourself asking, “How to become a data scientist?” In this detailed guide, we’re going to navigate the exciting realm of data science, a field that blends statistics, technology, and strategic thinking into a powerhouse of innovation and insights. What is a data scientist?

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Data Science Dojo

FEBRUARY 13, 2025

If you want to stay ahead in the world of big data, AI, and data-driven decision-making, Big Data & AI World 2025 is the perfect event to explore the latest innovations, strategies, and real-world applications. Dont miss this opportunity to unlock the true potential of data and AI!

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AI AI Big Data Big Data 234

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. Data scientists are in demand: the U.S. Explore these 10 popular blogs that help data scientists drive better data decisions.

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Data Science Dojo

MARCH 24, 2023

Look no further than ML Ops – the future of ML deployment. Machine Learning (ML) has become an increasingly valuable tool for businesses and organizations to gain insights and make data-driven decisions. However, deploying and maintaining ML models can be a complex and time-consuming process. What is ML Ops?

Machine Learning 195

Machine Learning Machine Learning ML ML 195

Data Science Dojo

FEBRUARY 23, 2024

Data science GPTs are the next step towards innovation in various data-related tasks. However, our focus lies on exploring the data science GPTs available on the platform. Before we dig deeper into options on the GPT store , let’s understand the concept of data science GPTs.

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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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Data Science AWS Hadoop Data Scientist 67

Data Science Dojo

FEBRUARY 23, 2024

GPTs for Data science are the next step towards innovation in various data-related tasks. These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. However, our focus lies on exploring the GPTs for data science available on the platform.

Data Science 195

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Towards AI

DECEMBER 15, 2024

When it comes to machine learning regression models, interviewers typically focus on five key performance metrics, which are the ones mostly used by Data Scientists in real time. For a Data Scientist, These metrics are a key part of building models and come up often in daily work. Thank you for reading.

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ML ML Data Scientist Machine Learning 116

Towards AI

AUGUST 7, 2024

From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams Photo by Parabol | The Agile Meeting Toolbox on Unsplash In this article, we will explore the essential VS Code extensions that enhance productivity and collaboration for data scientists and machine learning (ML) engineers.

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Data Science Dojo

APRIL 3, 2023

Drag and drop tools have revolutionized the way we approach machine learning (ML) workflows. Gone are the days of manually coding every step of the process – now, with drag-and-drop interfaces, streamlining your ML pipeline has become more accessible and efficient than ever before. This is where drag-and-drop tools come in.

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Analytics Vidhya

DECEMBER 1, 2022

Introduction Data Science is one of the most promising careers of 2022 and beyond. Do you know that, for the past 5 years, ‘Data Scientist’ consistently ranked among the top 3 job professions in the US market? Keeping this in mind, many working professionals and students have started upskilling themselves.

Data Scientist 306

Data Scientist Data Science Analytics Analytics 306

insideBIGDATA

OCTOBER 14, 2023

A recent survey of data scientists and engineers revealed that over half (53.3%) of today’s machine learning (ML) teams are planning on deploying a large language model (LLM) application of their own into production “within the next 12 months” or “as soon as possible”.

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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.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

Pickl AI

DECEMBER 25, 2024

Summary: Business Analytics focuses on interpreting historical data for strategic decisions, while Data Science emphasizes predictive modeling and AI. Introduction In today’s data-driven world, businesses increasingly rely on analytics and insights to drive decisions and gain a competitive edge.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Pickl AI

NOVEMBER 4, 2024

Summary: Python for Data Science is crucial for efficiently analysing large datasets. Introduction Python for Data Science has emerged as a pivotal tool in the data-driven world. Key Takeaways Python’s simplicity makes it ideal for Data Analysis. in 2022, according to the PYPL Index.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

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. One of the most fundamental tools for this purpose is the confusion matrix.

Machine Learning 431

Machine Learning Machine Learning Data Scientist ML 431

Dataconomy

SEPTEMBER 20, 2023

From the democratisation of programming languages and analytics tools to the emergence of data scientists as the key decision influencer of the modern workforce, data science and its underlying methodologies are transforming the face of business. Is artificial intelligence the future of analytics?

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