Analytics Vidhya

FEBRUARY 1, 2023

What if some technology can overcome […] The post Use of ML in HealthCare: Predictive Analytics and Diagnosis appeared first on Analytics Vidhya. The main reasons for misdiagnosis are a lack of experienced doctors, lack of time with patients, lack of resources, etc.

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Analytics Vidhya

MAY 6, 2024

Introduction Machine learning (ML) has become a game-changer across industries, but its complexity can be intimidating. Why […] The post How to Build a ML Model in 1 Minute using ChatGPT appeared first on Analytics Vidhya. This article explores how to use ChatGPT to build machine learning models.

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Analytics Vidhya

JUNE 12, 2022

The post How ML with Titanic Dataset Could be Misleading? The luxury cruiser, touted to be one of the safest when launched, sank thousands of passengers due to an accident with an iceberg. Out of 2224 passengers, 1502 passengers died due to […]. appeared first on Analytics Vidhya.

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Analytics Vidhya

APRIL 5, 2024

This article is […] The post Top 40 Python Libraries for AI, ML and Data Science appeared first on Analytics Vidhya. A massive community with libraries for machine learning, sleek app development, data analysis, cybersecurity, and more. This flexible language has you covered for all things AI and beyond.

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Data Science Python ML Data Analysis 319

Analytics Vidhya

JANUARY 3, 2024

In a groundbreaking move, Meta has introduced HawkEye, a revolutionary toolkit aimed at transforming the landscape of machine learning (ML) debugging. Addressing the challenges of debugging at scale, HawkEye streamlines monitoring, observability, and debuggability for Meta’s ML-based products.

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Analytics Vidhya

JANUARY 31, 2023

Introduction Kubeflow is an open-source platform that makes it easy to deploy and manage machine learning (ML) workflows on Kubernetes, a popular open-source system for automating containerized applications’ deployment, scaling, and management.

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ML Machine Learning Automation 304

Unite.AI

JANUARY 10, 2024

Artificial intelligence (AI) and machine learning (ML) can be found in nearly every industry, driving what some consider a new age of innovation – particularly in healthcare, where it is estimated the role of AI will grow at a 50% rate annually by 2025. This ensures we are building safe, equitable, and accurate ML algorithms.

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AI News

JUNE 28, 2023

In this week’s round-up, we share the top 10 ways AI and ML technologies are transforming the world’s data centres, driving efficiencies and sustainability Across the world’s industries, AI and ML are enabling a huge degree of transformation. Alongside this, the models can identify the optimum conditions and WUE for a data centre.

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Analytics Vidhya

FEBRUARY 6, 2024

It caters to various ML needs, including a powerful focus on Generative AI, which allows you to harness the power of large language models (LLMs) for: Importance of GCP Vertex AI in Generative AI […] The post Build, Deploy, and Manage ML Models with Google Vertex AI appeared first on Analytics Vidhya.

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Analytics Vidhya

FEBRUARY 6, 2024

In this blog, we’ll look into the top 5 WhatsApp […] The post 5 WhatsApp Groups for Data Science and ML Enthusiasts appeared first on Analytics Vidhya. WhatsApp, the ubiquitous messaging platform, has emerged as an unexpected yet potent medium for knowledge sharing and networking.

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Analytics Vidhya

MAY 1, 2023

While this debate continues in the chorus, PwC’s global AI study says that the global economy will see a boost of 14% in GDP […] The post Emerging Trends in AI and ML in 2023 & Beyond appeared first on Analytics Vidhya.

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Analytics Vidhya

NOVEMBER 26, 2024

Machine learning (ML) has become a cornerstone of modern technology, enabling businesses and researchers to make data-driven decisions with greater precision. However, with the vast number of ML models available, choosing the right one for your specific use case can be challenging. appeared first on Analytics Vidhya.

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ML Machine Learning 240

Analytics Vidhya

MARCH 28, 2024

Machine learning (ML) can seem complex, but what if you could train a model without writing any code? This guide unlocks the power of ML for everyone by demonstrating how to train a ML model with no code.

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ML Machine Learning Algorithm Generative AI 261

Analytics Vidhya

APRIL 9, 2023

Predicting the future using Artificial Intelligence (AI), data analytics, and machine learning (ML).

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ML Artificial Intelligence Artificial Intelligence Machine Learning 301

Analytics Vidhya

APRIL 11, 2024

These tools enhance the efficiency […] The post Here are 9 Must Need Machine Learning Tools for Your ML Project appeared first on Analytics Vidhya. Many tools and libraries have emerged as machine learning applications expand to help developers build and deploy machine learning models.

Machine Learning 281

Machine Learning ML Data Science Artificial Intelligence 281

Eugene Yan

JULY 6, 2024

What to interview for, how to structure the phone screen, interview loop, and debrief, and a few tips.

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AI Engineer ML AI AI 314

Analytics Vidhya

DECEMBER 6, 2023

Familiar […] The post Apple Introduces Open-Source ML Framework: MLX appeared first on Analytics Vidhya. Developed by Apple’s esteemed machine learning research team, MLX promises a refined experience for researchers, enhancing the efficiency of model training and deployment.

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ML Machine Learning Python 247

Analytics Vidhya

FEBRUARY 28, 2024

Thanks to the innovative platform Runway ML, this captivating feat is now within reach.

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ML Deep Learning Machine Learning Artificial Intelligence 240

AI News

MAY 15, 2023

That’s essentially what the modern lifecycle of AI/ML products looks like. That requires experience in identifying the problems that can benefit from AI/ML the most, and agile, iterative processes of validating and scaling the ideas. One other benefit of modern AI/ML is that you can use various different types of data.

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ML Machine Learning Big Data AI 272

Unite.AI

JUNE 24, 2024

To fulfill orders quickly while making the most of limited warehouse space, organizations are increasingly turning to artificial intelligence (AI), machine learning (ML), and robotics to optimize warehouse operations. Applications of AI/ML and robotics Automation, AI, and ML can help retailers deal with these challenges.

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Robotics ML Automation AI 189

Eugene Yan

NOVEMBER 2, 2024

ML systems, production & scaling, execution & collaboration, building for users, conference etiquette.

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ML 181

Flipboard

NOVEMBER 22, 2024

This post is part of an ongoing series about governing the machine learning (ML) lifecycle at scale. The data mesh architecture aims to increase the return on investments in data teams, processes, and technology, ultimately driving business value through innovative analytics and ML projects across the enterprise.

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ML Data Science Metadata DevOps 132

AWS Machine Learning Blog

DECEMBER 4, 2024

Our customers want a simple and secure way to find the best applications, integrate the selected applications into their machine learning (ML) and generative AI development environment, manage and scale their AI projects. This increases the time it takes for customers to go from data to insights.

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ML Generative AI Data Scientist ML Engineer 129

Machine Learning Research at Apple

OCTOBER 31, 2024

Many app developers are interested in building on device experiences that integrate increasingly capable large language models (LLMs).

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Analytics Vidhya

FEBRUARY 1, 2023

Introduction Artificial Intelligence (AI) and Machine Learning (ML) have rapidly become some of the most important technologies in the field of cybersecurity. With the increasing amount of data and sophisticated cyber threats, AI and ML are being used to strengthen the security of organizations and individuals.

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Machine Learning Artificial Intelligence Artificial Intelligence ML 347

Analytics Vidhya

JUNE 14, 2024

Introduction Efficient ML models and frameworks for building or even deploying are the need of the hour after the advent of Machine Learning (ML) and Artificial Intelligence (AI) in various sectors. Although there are several frameworks, PyTorch and TensorFlow emerge as the most famous and commonly used ones.

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Deep Learning Artificial Intelligence Artificial Intelligence Machine Learning 317

Analytics Vidhya

MAY 17, 2024

Introduction Do you know, that you can automate machine learning (ML) deployments and workflow? This can be done using Machine Learning Operations (MLOps), which are a set of rules and practices that simplify and automate ML deployments and workflows. Yes, you heard it right.

Machine Learning 298

Machine Learning ML Automation AI 298

Analytics Vidhya

AUGUST 7, 2024

Introduction As someone deeply passionate about the intersection of technology and education, I am thrilled to share that the Indian Space Research Organisation (ISRO) is offering an incredible opportunity for students interested in artificial intelligence (AI) and machine learning (ML). appeared first on Analytics Vidhya.

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Artificial Intelligence Artificial Intelligence Machine Learning ML 341

Analytics Vidhya

SEPTEMBER 22, 2023

Introduction The area of machine learning (ML) is rapidly expanding and has applications across many different sectors. Keeping track of machine learning experiments using MLflow and managing the trials required to construct them gets harder as they get more complicated.

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Machine Learning Data Scientist ML LLM 343

Analytics Vidhya

SEPTEMBER 27, 2023

But it’s not just friendly conversations; the machine learning (ML) community has introduced a new term called LLMOps. Introduction The release of OpenAI’s ChatGPT has inspired a lot of interest in large language models (LLMs), and everyone is now talking about artificial intelligence.

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Machine Learning Large Language Models Artificial Intelligence Artificial Intelligence 340

IBM Journey to AI blog

MAY 20, 2024

Machine learning (ML) has become a critical component of many organizations’ digital transformation strategy. From predicting customer behavior to optimizing business processes, ML algorithms are increasingly being used to make decisions that impact business outcomes.

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Analytics Vidhya

MARCH 28, 2023

AI-powered email automation tools use ML algorithms to analyze data and optimize campaigns, delivering personalized content to each recipient. Email automation is a game-changer for businesses, but with AI, it’s becoming even more powerful!

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Analytics Vidhya

JANUARY 21, 2022

I highly encourage you to check out his Youtube channel for his outstanding work in the field of ML/DL […]. In this article, we are going to analyze the Zero-crossing rates (ZCRs) of different music genre tracks. This post is inspired by Valerio Valerdo’s work.

Data Science 381

Data Science ML Deep Learning NLP 381

Analytics Vidhya

JANUARY 15, 2022

Overview The core of the data science project is data & using it to build predictive models and everyone is excited and focused on building an ML model that would give us a near-perfect result mimicking the real-world business scenario. This article was published as a part of the Data Science Blogathon. In trying to achieve […].

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Data Science ML 373

Analytics Vidhya

FEBRUARY 9, 2023

Thus, developing an automated ML pipeline becomes a challenge, which is why most ML projects fail to deliver on their expectations. However, the problem of automated ML pipelines can be addressed by bringing the […] The post End-to-End MLOps Architecture and Workflow appeared first on Analytics Vidhya.

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Analytics Vidhya

OCTOBER 17, 2022

Where is Optimization used in DS/ML/DL? What are Convex […]. The post Optimization Essentials for Machine Learning appeared first on Analytics Vidhya.

Machine Learning 311

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