Analytics Vidhya

DECEMBER 23, 2023

Introduction In deep learning, the Adam optimizer has become a go-to algorithm for many practitioners. Its ability to adapt learning rates for different parameters and its gentle computational requirements make it a versatile and efficient choice.

Optimization 304

Optimization Deep Learning IT Analytics 304

Analytics Vidhya

APRIL 28, 2023

Introduction Predicting patient outcomes is critical to healthcare management, enabling hospitals to optimize resources and improve patient care. Machine learning algorithms or deep learning techniques have proven valuable in survival prediction rates, offering insights that can help guide treatment plans and prioritize resources.

Deep Learning 271

Deep Learning Machine Learning Optimization Management 271

datapine

MAY 14, 2019

By acquiring a deep working understanding of data science and its many business intelligence branches, you stand to gain an all-important competitive edge that will help to position your business as a leader in its field. 2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville.

Data Science 350

Data Science Machine Learning Big Data Data-driven 350

Smart Data Collective

JANUARY 20, 2020

It goes without saying that blogging has slowly and steadily evolved into an indispensable marketing tool. While marketers have been continually using the best possible strategies to improve the existing global blogging landscape, the inclusion of artificial intelligence has taken the ballgame to a whole different level.

Deep Learning 127

Deep Learning ROI Data-driven Marketing 127

O'Reilly on Data

MAY 14, 2020

This role includes everything a traditional PM does, but also requires an operational understanding of machine learning software development, along with a realistic view of its capabilities and limitations. In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager.

Management 364

Management Experimentation B2B Machine Learning 364

Cloudera

DECEMBER 4, 2024

Today, Artificial Intelligence (AI) and Machine Learning (ML) are more crucial than ever for organizations to turn data into a competitive advantage. Over the next several weeks, we’ll explore the Cloudera AI Inference service in-depth, providing you with a comprehensive introduction to its capabilities, benefits, and use cases.

Metrics 73

Metrics Data Processing Machine Learning Deep Learning 73

datapine

SEPTEMBER 16, 2022

The field of online data visualization is growing, and whether you’re a data viz expert or just getting started, there is a wide range of books that will help you learn new skills and remain ahead of the pack. Our next best book to learn data visualization is the “The Big Book Of Dashboards”. They can be fun and interactive, too.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

datapine

NOVEMBER 19, 2019

Get the inside scoop and learn all the new buzzwords in tech for 2020! AI refers to the autonomous intelligent behavior of software or machines that have a human-like ability to make decisions and to improve over time by learning from experience. Exclusive Bonus Content: Download our Top 10 Technology Buzzwords! Computer Vision.

Technology 279

Technology Internet of Things IT IoT 279

DataKitchen

FEBRUARY 22, 2024

Introduction to Advanced Finger-Pointing In this foundational course, students will learn the subtle nuances of directing attention away from themselves with the grace of a ballet dancer avoiding a puddle. Learn five easy ways to say ‘Garbage In, Garbage Out’ in calm, soothing business terms.

Analytics 183

Analytics Data Governance Strategy Testing 183

Domino Data Lab

JULY 10, 2019

Introduction. 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

datapine

JUNE 5, 2019

Learn all about data dashboards with our executive bite-sized summary! To summarize, in the context of BI, data dashboards are used for: Deep-level insight: Drilling down deeper into key aspects of your business’s daily, weekly and monthly operation to create initiatives for increased efficiency. What Is A Data Dashboard?

Dashboards 316

Dashboards KPI Sales Visualization 316

datapine

JULY 17, 2019

Looking for a bite-sized introduction to reporting? They are customizable and thus offer a powerful means of drilling down deep into very specific pockets of information. Also, explore our guide to KPI management and learn from a host of helpful best practices. Looking for a bite-sized introduction to reporting?

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

Cloudera

MARCH 6, 2024

Add a Human To The Loop: An Introduction to RLHF & DPO. With a deep level of expertise and understanding when it comes to tapping into AI, the conference presents a unique chance to highlight learnings from those who have reached those goals successfully.

Data Analytics 109

Data Analytics Analytics Snapshot Data Processing 109

Cloudera

MAY 19, 2021

Introduction. In the previous blog post in this series, we walked through the steps for leveraging Deep Learning in your Cloudera Machine Learning (CML) projects. As a machine learning problem, it is a classification task with tabular data, a perfect fit for RAPIDS. See < [link] > for more details.

Machine Learning 137

Machine Learning Data Science Data Lake Modeling 137

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the other hand, sophisticated machine learning models are flexible in their form but not easy to control. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. Introduction Machine learning models often behave unpredictably, as data scientists would be the first to tell you.

Machine Learning 111

Machine Learning Deep Learning Modeling Interactive 111

Insight

AUGUST 16, 2019

see below for the top 10 blog posts/resources! Getting Started with Data Engineering This blog post by Richard Taylor starts with a discussion of what big data and data engineering really mean before delving into an overview of the current landscape. What is Data Engineering and what is the role of a Data Engineer?

Big Data 51

Big Data Data Science Data Processing Machine Learning 51

Dataiku

NOVEMBER 9, 2020

They are (rightfully) getting the attention of a big portion of the deep learning community and researchers in Natural Language Processing (NLP) since their introduction in 2017 by the Google Translation Team.

Deep Learning 90

Deep Learning Modeling 90

Domino Data Lab

FEBRUARY 12, 2020

Introduction. If you want a more in-depth technical introduction to Ray, see ?this this post on the Ray project blog ?. for reinforcement learning (RL), ? Motivations for Ray: Training a Reinforcement Learning (RL) Model. Motivations for Ray: Training a Reinforcement Learning (RL) Model. To Learn More.

Experimentation 137

Experimentation Modeling Data Science Machine Learning 137

datapine

SEPTEMBER 1, 2020

These dynamic online dashboards also boast interactive features that empower the user to drill down deep into specific pockets of data while changing demographic parameters, including gender, age, and region, filtering the results swiftly to focus on the most relevant information for the task at hand.

Reporting 247

Reporting Marketing KPI Dashboards 247

Cloudera

APRIL 19, 2021

Introduction. 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. pip install scikit-learn pandas.

Deep Learning 75

Deep Learning Machine Learning Data Science Modeling 75

Cloudera

NOVEMBER 25, 2021

With the introduction of ML and Deep Learning (DL), it is now possible to build AI systems that have no ethical considerations at all. In part 2 of this blog post, we explore the challenges in ensuring ethical AI systems and some ways that these can be overcome. So why is it so hard to build ethical systems?

Insurance 98

Insurance Machine Learning Deep Learning Reporting 98

Data Science 101

AUGUST 27, 2023

Our front-end is (deep breath) written in Ember. I once had a former co-worker give me a quick introduction to Unity back in the day and I was blown away. Use the GitHub documentation to learn how to use Git and GitHub. I find the best way to learn development and programming is to just do it. These can be Websites?

Software 98

Software Enterprise IT 98

Domino Data Lab

DECEMBER 17, 2019

Introduction. This blog post provides high-level insights into GANs. and webinar provide more depth than this blog post as they cover an implementation of a basic GAN model and demonstrate how adversarial networks can be used to generate training samples. Both the Domino project. Domino Project: [link].

Deep Learning 64

Deep Learning Machine Learning Modeling Data-driven 64

Domino Data Lab

JANUARY 14, 2019

This blog post provides insights on how to use the SHAP and LIME Python libraries in practice and how to interpret their output, helping readers prepare to produce model explanations in their own work. Introduction. xgb_model = xgb.train({'objective':'reg:linear'}, xgb.DMatrix(X_train, label=y_train)) # GBT from scikit-learn?

Testing 89

Testing Deep Learning Modeling Data Science 89

Cloudera

SEPTEMBER 20, 2022

Introduction. This blog is intended to serve as an ethics sheet for the task of AI-assisted comic book art generation, inspired by “ Ethics Sheets for AI Tasks.” AI-assisted comic book art generation is a task I proposed in a blog post I authored on behalf of my employer, Cloudera. Access — who can use it?

Deep Learning 88

Deep Learning Cost-Benefit Risk Data-driven 88

IBM Big Data Hub

DECEMBER 1, 2023

The introduction of ChatGPT capabilities has generated a lot of interest in generative AI foundation models. Foundation models are pre-trained on unlabeled datasets and leverage self-supervised learning using neural network s. The supervised learning that is used to train AI requires a lot of human effort.

Insurance 96

Insurance Digital Transformation Unstructured Data Risk 96

Sisense

APRIL 2, 2020

Tools of the Trade is your destination for data and analytics skill building: From dashboards and reports to embedding analytics and building custom analytic apps to SQL secrets and data deep-dives, whatever you need to know to be better at your job, you can find it here. Get an in-depth introduction to this important process.

Data Warehouse 83

Data Warehouse Big Data Testing Software 83

Domino Data Lab

OCTOBER 14, 2020

The introduction of machine learning to the agricultural domain is relatively new. To enable a digital transformation in agriculture we must experiment and learn quickly across the entire model lifecycle. We needed an “evolvable architecture” which would work with the next deep learning framework or compute platform.

Experimentation 99

Experimentation Deep Learning Modeling Testing 99

Insight

AUGUST 20, 2019

Data Engineering is a discipline notorious for being framework-driven and it is often hard for newcomers to find the right ones to learn. As part of their fellowship training and transition into data engineering, Fellows spend three weeks working on data engineering projects where they dive deep into these frameworks.

Data Warehouse 71

Data Warehouse Big Data Data-driven Data Processing 71

Domino Data Lab

JANUARY 20, 2019

Introduction. What if there was a way to quantitatively measure whether your machine learning (ML) model reflects specific domain expertise or potential bias? TCAV provides quantitative importance of a concept if and only if your network has learned about it”. with post-training explanations? Conclusion: Why Consider TCAV?

Testing 63

Testing Modeling Machine Learning Data Science 63

Cloudera

JULY 26, 2021

Introduction. The irreversible shift towards digital-native / digital-first consumption , working and learning paradigms has introduced new remote or hybrid working. Deep Java Learning, Apache Spark 3.x, The post Five Strategies to Accelerate Data Product Development appeared first on Cloudera Blog.

Strategy 119

Strategy Data Science Unstructured Data Marketing 119

IBM Big Data Hub

DECEMBER 4, 2023

So, why do millions of small enterprises believe that impactful AI is only accessible to big companies with deep pockets?   Learn how IBM can help your company overcome the myths surrounding AI adoption AI adoption doesn’t have to be complicated or costly.

Enterprise 75

Enterprise Risk Modeling Sales 75

Occam's Razor

OCTOBER 24, 2016

To address that, on this blog I've shared something I call the ladders of awesomeness – my view of what the entire evolutionary path looks like. The CMO expressed a desire for the audience to learn about advanced attribution strategies. Digital Attribution's Ladder of Awesomeness. I love this report.

Metrics 147

Metrics Marketing Optimization Modeling 147

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. Introduction. Deep Learning on Imagery and Text. And yeah … Miner & Kasch was founded by UMBC alumni.

Deep Learning 55

Deep Learning Data Science Machine Learning Data Processing 55

Alation

SEPTEMBER 7, 2021

This is the last of the 4-part blog series. In the previous blog , we discussed how Alation provides a platform for data scientists and analysts to complete projects and analysis at speed. In this blog we will discuss how Alation helps minimize risk with active data governance. Find Trusted Data.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI. classification problem.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Data Science and Beyond

JULY 5, 2015

This page summarises the deep learning resources I’ve consulted in my album cover classification project.

Deep Learning 40

Deep Learning Consulting Optimization Visualization 40