Dataiku

JULY 14, 2020

Deep learning is one of those often mentioned yet not quite tangible topics for most people. If you’re unfamiliar with what deep learning is, check out this blog post or this deep learning guide. Don’t worry, we’ll wait for you to return.

Deep Learning 80

Deep Learning Data Science 80

datapine

MAY 14, 2019

By gaining the ability to understand, quantify, and leverage the power of online data analysis to your advantage, you will gain a wealth of invaluable insights that will help your business flourish. The ever-evolving, ever-expanding discipline of data science is relevant to almost every sector or industry imaginable – on a global scale.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

Analytics Vidhya

JULY 13, 2022

This article was published as a part of the Data Science Blogathon. Introduction In this blog, we will try to solve a famously discussed task of Brain MRI segmentation. Where our task will be to take brain MR images as input and utilize them with deep learning for automatic brain segmentation matured to a level […].

Deep Learning 304

Deep Learning Data Science Publishing Analytics 304

Analytics Vidhya

JANUARY 5, 2022

This article was published as a part of the Data Science Blogathon. Objective This blog post will learn how to use the Hugging face transformers functions to perform prolonged Natural Language Processing tasks.

Deep Learning 255

Deep Learning Data Science Publishing Analytics 255

Domino Data Lab

APRIL 29, 2021

Deep learning enthusiasts are increasingly putting NVIDIA’s GTC at the top of their gotta-be-there conference list. Three of them were particularly compelling and inspired a new point of view on transfer learning that I feel is important for analytical practitioners and leaders to understand. Deep Learning Trends from GTC21.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

Data Science 101

FEBRUARY 29, 2020

Lots of announcements this week, so without delay, let’s get right to Cloud Data Science 9. Women in Data Science Livestream This is a conference with a ton a great speakers. The livestream is free and available on the Data Science 101 blog. The event is Monday, March 2, 2020 at 9am PST.

Data Science 106

Data Science IoT Deep Learning IT 106

KDnuggets

DECEMBER 11, 2019

We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.

Deep Learning 71

Deep Learning Machine Learning Data Science Technology 71

Cloudera

APRIL 19, 2021

In our previous blog post in this series , we explored the benefits of using GPUs for data science workflows, and demonstrated how to set up sessions in Cloudera Machine Learning (CML) to access NVIDIA GPUs for accelerating Machine Learning Projects. Introduction.

Deep Learning 72

Deep Learning Machine Learning Data Science Modeling 72

Data Science 101

DECEMBER 27, 2019

AWS Deep Learning Containers now support Tensorflow 2.0 AWS Deep Learning Containers are docker images which are preconfigured for deep learning tasks. An intro to Azure FarmBeats An innovative idea to bring data science to farmers. It is called data-driven agriculture.

Data Science 86

Data Science Deep Learning Data-driven IT 86

Data Science 101

NOVEMBER 29, 2019

Sign Up for the Cloud Data Science Newsletter. Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. It is based upon this article: Preparing and curating your data for machine learning. We will have to wait and see. Announcements.

Data Science 115

Data Science Deep Learning Machine Learning Modeling 115

Domino Data Lab

JULY 10, 2019

New tools are constantly being added to the deep learning ecosystem. For example, there have been multiple promising tools created recently that have Python APIs, are built on top of TensorFlow or PyTorch , and encapsulate deep learning best practices to allow data scientists to speed up research.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

Domino Data Lab

JULY 15, 2021

In the multiverse of data science, the tool options continue to expand and evolve. While there are certainly engineers and scientists who may be entrenched in one camp or another (the R camp vs. Python, for example, or SAS vs. MATLAB), there has been a growing trend towards dispersion of data science tools.

Data Science 145

Data Science Visualization Modeling Enterprise 145

Business Over Broadway

DECEMBER 20, 2018

The importance of data science and machine learning continues to grow in business and beyond. I did my part this year to spread interest in data science to more people. Below are my top 10 blog posts of 2018: Favorite Data Science Blogs, Podcasts and Newsletters. Click image to enlarge.

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

Domino Data Lab

MARCH 6, 2019

Niels Kasch , cofounder of Miner & Kasch , an AI and Data Science consulting firm, provides insight from a deep learning session that occurred at the Maryland Data Science Conference. Outlook, with Justin Leto, Big Data & AI: State of the Industry, Labor Trends and Future Outlook.

Deep Learning 55

Deep Learning Data Science Machine Learning Modeling 55

Cloudera

JULY 27, 2021

These fleshed-out web applications are representative end products of data science work. Recently, we’ve been bringing these front-ends to the Cloudera Machine Learning, with applied machine learning prototypes (AMPs). There are many uses for interactive applications in the machine learning development lifecycle.

Data Science 115

Data Science Enterprise Experimentation Machine Learning 115

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Cloudera

OCTOBER 17, 2017

Deep learning is in the news. But deep learning is a tool that enterprises use to solve practical problems. In this blog, we provide a few examples that show how organizations put deep learning to work. In this blog, we provide a few examples that show how organizations put deep learning to work.

Deep Learning 47

Deep Learning Data Science Machine Learning Modeling 47

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 55

Machine Learning Data Science Statistics Deep Learning 55

Domino Data Lab

JULY 28, 2021

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. Data Science — A Venn Diagram of Skills. Data science encapsulates both old and new, traditional and cutting-edge. 3 Components of Data Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

IBM Big Data Hub

AUGUST 11, 2023

Because ML is becoming more integrated into daily business operations, data science teams are looking for faster, more efficient ways to manage ML initiatives, increase model accuracy and gain deeper insights. MLOps is the next evolution of data analysis and deep learning.

Data Science 54

Data Science Machine Learning Cost-Benefit Deep Learning 54

Analytics Vidhya

SEPTEMBER 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction My last blog discussed the “Training of a convolutional neural network from scratch using the custom dataset.” This blog is […].

Testing 289

Testing Data Science Publishing Analytics 289

KDnuggets

MARCH 17, 2022

In this short blog, we’ll review the process of taking a POC data science pipeline (ML/Deep learning/NLP) that was conducted on Google Colab, and transforming it into a pipeline that can run parallel at scale and works with Git so the team can collaborate on.

Deep Learning 135

Deep Learning Data Science IT Machine Learning 135

Rocket-Powered Data Science

JULY 6, 2023

You can find my results on my Medium blog site. LLMs are a subset of the deep learning field of natural language processing (NLP), which includes natural language understanding (NLU) and natural language generation (NLG). Stable Diffusion, Midjourney, and Dall-E are examples of generative AI using CV for image generation.

Statistics 152

Statistics Deep Learning Machine Learning Modeling 152

Domino Data Lab

NOVEMBER 18, 2021

This simple principle has guided humans since the beginning of time, and now, more than ever before, it is the key principle behind a growing number of reinforcement learning (RL) agents within the technologies we use and rely upon every day. When you do something well, you’re rewarded.

Data Science 52

Data Science Technology IT Deep Learning 52

Analytics Vidhya

SEPTEMBER 24, 2021

This article was published as a part of the Data Science Blogathon Image 1 Introduction In this article, I will use the YouTube Trends database and Python programming language to train a language model that generates text using learning tools, which will be used for the task of making youtube video articles or for your blogs. […].

Machine Learning 375

Machine Learning Modeling Data Science Publishing 375

Analytics Vidhya

AUGUST 7, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon In the last blog, we discussed what an Artificial Neural network. The post Implementing Artificial Neural Network on Unstructured Data appeared first on Analytics Vidhya.

Unstructured Data 356

Unstructured Data Data Science Publishing Analytics 356

TDAN

JUNE 2, 2020

The domain of AI and data science so far has created significant value in the technological landscape. With multiple technologies involved, even deep learning algorithms can’t do the trick. However, the path to reaching success isn’t easy and quick.

Data Science 52

Data Science Deep Learning Technology Business Intelligence 52

Insight

SEPTEMBER 20, 2019

In this blog, I’ll describe how this project uses segmentation to detect lesions in an image, and classification to detect whether those lesions are benign or malignant. on test data. Conclusions The deep learning model developed in this project can automatically detect lesions in the ultrasound images.

Deep Learning 53

Deep Learning Cost-Benefit Testing Modeling 53

Analytics Vidhya

JUNE 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: This blog deals with MNIST Data. Actually, MNIST is ‘Modified. The post MNIST Dataset Prediction Using Keras! appeared first on Analytics Vidhya.

Data Science 309

Data Science Publishing Analytics Unstructured Data 309

Analytics Vidhya

JULY 12, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this blog, we will understand how to create and. The post Classification of Handwritten Digits Using CNN appeared first on Analytics Vidhya.

Data Science 293

Data Science Publishing Analytics Unstructured Data 293

Domino Data Lab

JULY 28, 2021

Data science is a field at the convergence of statistics, computer science and business. Its value is so significant that scaling data science has become the new business imperative with organizations spending tens of millions of dollars on data, technology and talent. Data Science Techniques.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Domino Data Lab

AUGUST 9, 2021

With the right tools, your data science teams can focus on what they do best – testing, developing and deploying new models while driving forward-thinking innovation. In general terms, a model is a series of algorithms that can solve problems when given appropriate data. It’s most helpful in analyzing structured data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. data science’s emergence as an interdisciplinary field – from industry, not academia. Session Summary. Key highlights from the session include.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Analytics Vidhya

JUNE 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Hello guys! In this blog, I am going to discuss. The post Image Classification using Convolutional Neural Network with Python appeared first on Analytics Vidhya.

Data Science 264

Data Science Publishing Analytics Deep Learning 264

Analytics Vidhya

MAY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Hello Readers!! In this blog going to learn and build. The post Plant Seedlings Classification Using CNN – With Python Code appeared first on Analytics Vidhya.

Data Science 250

Data Science Publishing Analytics Unstructured Data 250

Analytics Vidhya

SEPTEMBER 6, 2021

This article was published as a part of the Data Science Blogathon Image 1 Introduction We have explored the Pipeline API of the transformers library which can be used for quick inference tasks. You can find more about it in my previous blog post here. Now let’s go deep dive into the Transformers library and […].

Data Science 250

Data Science Publishing Analytics Unstructured Data 250

Cloudera

NOVEMBER 16, 2017

Cloudera Data Science Workbench (CDSW) is a self-service collaboration platform for data scientists. It offers: Secure access to Cloudera data. GPU acceleration for deep learning on demand. For more detail on user monitoring, read this article on the Cloudera Engineering Blog. On-demand compute.

Data Science 40

Data Science Deep Learning Big Data Software 40