Mlearning.ai

FEBRUARY 3, 2023

Discover KNIME, the best kept secret in data science. This powerful and versatile open source platform offers a visual interface and wide… Continue reading on MLearning.

Data Science 126

Data Science Data Engineering Data Engineering Data Engineering 126

Matt Przybyla

FEBRUARY 13, 2023

Including a rundown of a common step-by-step project outline Continue reading on Towards Data Science »

Data Scientist 108

Data Scientist Data Science Machine Learning Machine Learning 108

ODSC - Open Data Science

FEBRUARY 6, 2023

Data science has changed and shaped how organizations think about issues across various businesses as information has become more widely available thanks to technology. As data flows from your CRM — including donor profiles, operational data, social media, and more — predictive and prescriptive analytics and benchmarking offer various uses for nonprofits.

Data Science 97

Data Science Data Scientist Natural Language Processing Data Analyst 97

insideBIGDATA

FEBRUARY 22, 2023

Google Cloud worked with IDC on multiple studies involving global organizations across industries in order to explore how data leaders are successfully addressing key data and AI challenges. The company compiled the results in its 2023 Data and AI Trends report. In it, you'll find the metrics-rich research behind the top five data and AI trends, along with tips and customer examples for incorporating them into your plans.

AI 545

AI AI Big Data Big Data 545

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

KDnuggets

FEBRUARY 21, 2023

An intuitive guide that will help you to prepare and preprocess your dataset before applying the machine learning model.

Python 400

Python Machine Learning Machine Learning 400

Analytics Vidhya

FEBRUARY 1, 2023

Introduction Do you know that the majority of medical errors are caused by misdiagnosis? Because many diseases have similar symptoms, which is difficult for doctors to give accurate results. The main reasons for misdiagnosis are a lack of experienced doctors, lack of time with patients, lack of resources, etc. What if some technology can overcome […] The post Use of ML in HealthCare: Predictive Analytics and Diagnosis appeared first on Analytics Vidhya.

Predictive Analytics 399

Predictive Analytics ML ML Analytics 399

Machine Learning Mastery

FEBRUARY 23, 2023

When you build and train a PyTorch deep learning model, you can provide the training data in several different ways. Ultimately, a PyTorch model works like a function that takes a PyTorch tensor and returns you another tensor. You have a lot of freedom in how to get the input tensors. Probably the easiest is […] The post Training a PyTorch Model with DataLoader and Dataset appeared first on MachineLearningMastery.com.

Deep Learning 363

Deep Learning Deep Learning 363

Cassie Kozyrkov

FEBRUARY 25, 2023

The industry-wide neglect of data design and data quality (and what you can do about it) Continue reading on Towards Data Science »

Data Quality 349

Data Quality Data Science Artificial Intelligence Artificial Intelligence 349

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.

Data Scientist 542

Data Scientist ML ML Big Data 542

KDnuggets

FEBRUARY 7, 2023

Let's learn how ChatGPT can help us learn about Python. or really anything at all.

Python 400

Python 400

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

AI

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. AI and ML are used to analyze large amounts of […] The post Future of AI and Machine Learning in Cybersecurity appeared first on Analytics Vidhya.

Machine Learning 398

Machine Learning Machine Learning ML ML 398

Data Science Dojo

FEBRUARY 10, 2023

In this blog post, we will explore the technology behind self-driving toy cars and how computer vision can be used to enable them to navigate their environment. We will discuss the various computer vision techniques that can be implemented, including thresholding, edge detection, blob detection, optical flow, and machine learning. Self-driving cars have been a hot topic in the technological world for quite some time now.

Machine Learning 370

Machine Learning Machine Learning Artificial Intelligence Artificial Intelligence 370

Machine Learning Mastery

FEBRUARY 14, 2023

A deep learning model in its simplest form are layers of perceptrons connected in tandem. Without any activation functions, they are just matrix multiplications with limited power, regardless how many of them. Activation is the magic why neural network can be an approximation to a wide variety of non-linear function. In PyTorch, there are many […] The post Using Activation Functions in Deep Learning Models appeared first on MachineLearningMastery.com.

Deep Learning 363

Deep Learning Deep Learning 363

databricks

FEBRUARY 1, 2023

What is price transparency and what challenges does it present? In the United States, health care delivery systems and health plans alike are.

324

324

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

AI

insideBIGDATA

FEBRUARY 3, 2023

In this contributed article, Al Gharakhanian, Machine Learning Development Director, Cognityze, takes a look at anomaly detection in terms of real-life use cases, addressing critical factors, along with the relationship with machine learning and artificial neural networks.

Machine Learning 538

Machine Learning Machine Learning Big Data Big Data 538

KDnuggets

FEBRUARY 14, 2023

Kickstart your MLOps career with these curated GitHub repositories.

399

399

Analytics Vidhya

FEBRUARY 28, 2023

Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud. A collaborative and interactive workspace allows users to perform big data processing and machine learning tasks easily. In this blog post, we will take a closer look at Azure Databricks, its key features, […] The post Azure Databricks: A Comprehensive Guide appeared first on Analytics Vidhya.

Azure 382

Azure Big Data Big Data Machine Learning 382

Data Science Dojo

FEBRUARY 7, 2023

Get ahead in data analysis with our summary of the top 7 must-know statistical techniques. Master these tools for better insights and results. While the field of statistical inference is fascinating, many people have a tough time grasping its subtleties. For example, some may not be aware that there are multiple types of inference and that each is applied in a different situation.

Data Analysis 370

Data Analysis Data Analysis Support Vector Machines Algorithm 370

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

AI

Machine Learning Mastery

FEBRUARY 21, 2023

Training a neural network or large deep learning model is a difficult optimization task. The classical algorithm to train neural networks is called stochastic gradient descent. It has been well established that you can achieve increased performance and faster training on some problems by using a learning rate that changes during training. In this post, […] The post Using Learning Rate Schedule in PyTorch Training appeared first on MachineLearningMastery.com.

Deep Learning 347

Deep Learning Deep Learning Algorithm 347

databricks

FEBRUARY 27, 2023

Ray is a prominent compute framework for running scalable AI and Python workloads, offering a variety of distributed machine learning tools, large-scale hyperparameter.

Clustering 307

Clustering Machine Learning Machine Learning Python 307

insideBIGDATA

FEBRUARY 15, 2023

In this video presentation, Mohammad Namvarpour presents a comprehensive study on Ashish Vaswani and his coauthors' renowned paper, “Attention Is All You Need.” This paper is a major turning point in deep learning research. The transformer architecture, which was introduced in this paper, is now used in a variety of state-of-the-art models in natural language processing and beyond.

Natural Language Processing 497

Natural Language Processing Deep Learning Deep Learning Big Data 497

KDnuggets

FEBRUARY 17, 2023

Here is a roadmap for learning Python in four weeks, a combination of curated resources and ChatGPT prompts to master the language.

Python 398

Python 398

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

Analytics Vidhya

FEBRUARY 25, 2023

Introduction Artificial Intelligence is the ability of a computer to work or think like humans. So many Artificial Intelligence applications have been developed and are available for public use, and chatGPT is a recent one by Open AI. ChatGPT is an artificial intelligence model that uses the deep model to produce human-like text. It predicts […] The post Learning the Basics of Deep learning, ChatGPT, and Bard AI appeared first on Analytics Vidhya.

Deep Learning 364

Deep Learning Deep Learning Artificial Intelligence Artificial Intelligence 364

Data Science Dojo

FEBRUARY 14, 2023

Data analysis is an essential process in today’s world of business and science. It involves extracting insights from large sets of data to make informed decisions. One of the most common ways to represent a data analysis is through code. However, is code the best way to represent a data analysis? In this blog post, we will explore the pros and cons of using code to represent data analysis and examine alternative methods of representation.

Data Analysis 369

Data Analysis Data Analysis Power BI Machine Learning 369

Machine Learning Mastery

FEBRUARY 19, 2023

Dropout is a simple and powerful regularization technique for neural networks and deep learning models. In this post, you will discover the Dropout regularization technique and how to apply it to your models in PyTorch models. After reading this post, you will know: How the Dropout regularization technique works How to use Dropout on your […] The post Using Dropout Regularization in PyTorch Models appeared first on MachineLearningMastery.com.

Deep Learning 327

Deep Learning Deep Learning 327

databricks

FEBRUARY 12, 2023

Oracle is a well-known technology for hosting Enterprise Data Warehouse solutions. However, many customers like Optum and the U.S. Citizenship and Immigration Services.

Data Warehouse 301

Data Warehouse SQL 301

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insideBIGDATA

FEBRUARY 1, 2023

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

Big Data 493

Big Data Big Data Cloud Data Database 493

KDnuggets

FEBRUARY 23, 2023

A short review of developments in the AI world.

AI 397

AI AI Artificial Intelligence Artificial Intelligence 397

Analytics Vidhya

FEBRUARY 2, 2023

Introduction Chatbots are becoming increasingly popular as businesses seek to automate customer service and streamline interactions. Building a chatbot can be a fun and educational project to help you gain practical skills in NLP and programming. This beginner’s guide will go over the steps to build a simple chatbot using NLP techniques. In this guide, […] The post How to Build a Chatbot using Natural Language Processing?

Natural Language Processing 360

Natural Language Processing Analytics Analytics Deep Learning 360

Data Science Dojo

FEBRUARY 21, 2023

Have you ever heard a story told with numbers? That’s the magic of data storytelling, and it’s taking the world by storm. If you’re ready to captivate your audience with compelling data narratives, you’ve come to the right place. What is data storytelling – Detailed analysis by Data Science Dojo Everyone loves data—it’s the reason your organization is able to make informed decisions on a regular basis.

Data Science 345

Data Science AI AI 345

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!