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 117

Data Science Enterprise Experimentation Machine Learning 117

Data Science 101

FEBRUARY 28, 2019

Data Journalism Handbook 2 – Online beta access to the first 21 chapters Select Star SQL – A book that is also a walk-through interactive tutorial for learning SQL Dive Into Deep Learning – A very detailed and up-to-date book on Deep Learning; used at Berkeley.

Data Science 84

Data Science Deep Learning Interactive IT 84

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

Analytics Vidhya

JUNE 23, 2022

Hey Readers, We’re getting Andrey Lukyanenko, Kaggle Grandmaster, on board to lead an interactive DataHour session with us. He is working as a Senior Data Scientist with the IT consulting and solutions firm Careem. He has more than ten years of extensive experience in the field of analytics and data science.

Consulting 327

Consulting Data Science Interactive Analytics 327

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

Analytics Vidhya

MAY 19, 2024

Introduction Conversational AI has emerged as a transformative technology in recent years, fundamentally changing how businesses interact with customers.

Machine Learning 285

Machine Learning Interactive Technology Analytics 285

O'Reilly on Data

MARCH 19, 2020

Our analysis of ML- and AI-related data from the O’Reilly online learning platform indicates: Unsupervised learning surged in 2019, with usage up by 172%. Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage.

Deep Learning 281

Deep Learning Machine Learning Data-driven Modeling 281

Analytics Vidhya

APRIL 9, 2024

Introduction If you are working on Artificial Intelligence or Machine learning models that require the best Text-to-Speech (TTS), then you are on the right path. Text-to-speech (TTS) technology, especially open source, has changed how we interact with digital content.

Machine Learning 291

Machine Learning Interactive Modeling Technology 291

O'Reilly on Data

NOVEMBER 8, 2018

The O’Reilly Data Show Podcast: Francesca Lazzeri and Jaya Mathew on digital transformation, culture and organization, and the team data science process. I wanted to learn some of the processes and tools they use when they assist companies in beginning their machine learning journeys.

Machine Learning 186

Machine Learning Enterprise Deep Learning Digital Transformation 186

Analytics Vidhya

JANUARY 26, 2024

Introduction The rise of Large Language Models (LLMs) like ChatGPT has been revolutionary, igniting a new era in how we interact with technology. These sophisticated models, exemplified by ChatGPT, have redefined how we engage with digital platforms.

Interactive 342

Interactive Modeling Technology Analytics 342

Analytics Vidhya

JANUARY 24, 2024

Introduction Tableau is a powerful data visualization tool that allows users to analyze and present data interactively and meaningfully. It helps businesses make data-driven decisions by providing easy-to-understand insights and visualizations.

Visualization 325

Visualization Data-driven Interactive Analytics 325

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

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

OCTOBER 13, 2023

AI researchers need to understand data and automation infrastructure, machine learning models, AI tools and algorithms, data science, programming, and how to build AI models from scratch. Deep learning is a subset of AI , and vital to the development of gen AI tools and resources in the enterprise.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Analytics Vidhya

MARCH 18, 2024

Welcome to the world of Grok, where the AI chatbot is revolutionizing how we think about digital interaction. Introduction Imagine engaging with a machine that not only exhibits intelligence but also flaunts a playful personality.

Interactive 263

Interactive Analytics Deep Learning Machine Learning 263

Jen Stirrup

MAY 5, 2020

Recently, I gave a Make Your Data Work Monday webinar on the complexities of the data sources for data science in Azure, and I thought it important enough to turn into an actual post. How can you differentiate the different opportunities to store your data in Azure?

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

DataRobot

APRIL 6, 2020

Perhaps you’re a data scientist who’s looking for ideas about how to get started with advanced time series forecasting , information about our expanded support for deep learning , or maybe just some ideas on how you can automate some of the data science tasks you dread. Until now.

Deep Learning 69

Deep Learning Forecasting Data Science Interactive 69

CIO Business Intelligence

OCTOBER 4, 2023

The fourth is called the merchant, consumer, and developer experience layer, which includes the web interface, mobile applications, and APIs that allow customers to use PayPal’s service interactively and programmatically. We’ve been working on this for over a decade, including transformer-based deep learning,” says Shivananda.

Digital Transformation 130

Digital Transformation Deep Learning Data Lake Risk 130

O'Reilly on Data

SEPTEMBER 12, 2018

Watch highlights from expert talks covering data science, machine learning, algorithmic accountability, and more. People from across the data world are coming together in New York for the Strata Data Conference. The future of data warehousing. Watch " Managing risk in machine learning.".

IoT 144

IoT Machine Learning Deep Learning Data Science 144

Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. Additionally, the AMPs catalog within CML is completely customizable, enabling your data science teams to build and securely share internal projects as AMPs.

Deep Learning 84

Deep Learning Machine Learning Forecasting Visualization 84

CIO Business Intelligence

JANUARY 26, 2024

University of California – Berkeley The University of California – Berkeley Department of Electrical Engineering and Computer Sciences focuses its foundational research in core areas of deep learning, knowledge representation, reasoning, learning, planning, decision-making, vision, robotics, speech, and NLP.

Machine Learning 105

Machine Learning Statistics Recreation/Entertainment Data Science 105

CIO Business Intelligence

MAY 20, 2022

The University of California–Berkeley Department of Electrical Engineering and Computer Sciences focuses its foundational research in core areas of deep learning, knowledge representation, reasoning, learning, planning, decision-making, vision, robotics, speech, and NLP. University of California–Berkeley.

Machine Learning 145

Machine Learning Statistics Recreation/Entertainment Data Science 145

O'Reilly on Data

JULY 28, 2020

There’s a substantial literature about ethics, data, and AI, so rather than repeat that discussion, we’ll leave you with a few resources. Ethics and Data Science is a short book that helps developers think through data problems, and includes a checklist that team members should revisit throughout the process.

Marketing 363

Marketing Experimentation Metrics Testing 363

Cloudera

AUGUST 20, 2020

Last year’s winner, in the Data for Enterprise AI category, United Overseas Bank Group (UOB) is an excellent example of using ML and AI to both drive innovation and deliver meaningful change. UOB used deep learning to improve detection of procurement fraud, thereby fighting financial crime.

Enterprise 121

Enterprise Experimentation Uncertainty Deep Learning 121

IBM Big Data Hub

FEBRUARY 13, 2024

The compact design and touch-based interactivity seemed like a leap into the future. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Remember how cool it felt when you first held a smartphone in your hand?

Enterprise 119

Enterprise Modeling Testing Data-driven 119

DataRobot

OCTOBER 20, 2021

Achieving that level of governance at scale requires a common understanding of AI and data concepts. Individuals interacting with AI systems should possess a baseline data literacy, especially in high-risk use cases that require human collaboration at the final decision-making stage. What Is Data Literacy?

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

Ontotext

DECEMBER 15, 2023

The official (first) repo is tensorflow/tensor2tensor that has topics: machine-learning reinforcement-learning deep-learning machine-translation tpu. By exploring the first topic machine-learning , we find 117k Github repos. Above we see that: The original counts were 1.5M categories and 29.2M

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

CIO Business Intelligence

APRIL 27, 2022

These new advertiser challenges caused the company to develop AI models to find creators and influencers who provide more authentic, natural and non-disruptive brand-to-customer interactions. Initially, BEN Group’s data science teams used cloud computing to develop and experiment with their AI models.

Modeling 52

Modeling Advertising Unstructured Data Cost-Benefit 52

Sisense

APRIL 15, 2021

Data science and artificial intelligence: Enhancing every step in the BI process. Below you’ll see the traditional BI process: You start with a problem you want to use data and intelligence to try to solve, and you work your way through the steps toward hopefully doing that. Simplify analytics with AI.

Analytics 98

Analytics Data Science Modeling Machine Learning 98

bridgei2i

APRIL 16, 2021

So, I remember when I was studying, and there were a lot of buzzwords like big data, Hadoop making the rounds and then came data science. Anil: Deep learning systems are essentially large networks with many layers constituting an artificial neuron that fires when a certain set of its input neurons fire.

Deep Learning 98

Deep Learning Machine Learning Digital Transformation Software 98

Occam's Razor

MARCH 30, 2017

People tend to use these phrases almost interchangeably: Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning. Deep Learning is a specific ML technique. Most Deep Learning methods involve artificial neural networks, modeling how our bran works.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

IBM Big Data Hub

APRIL 18, 2024

Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. Most importantly, no matter the strength of AI (weak or strong), data scientists, AI engineers, computer scientists and ML specialists are essential for developing and deploying these systems.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

O'Reilly on Data

JUNE 18, 2019

Since they consume a significant amount of time spent on most data science projects, we highlight these two main classes of data quality problems in this post: Data unification and integration. An important paradigm for solving both these problems is the concept of data programming.

Machine Learning 264

Machine Learning Data Quality Statistics Modeling 264

DataRobot Blog

JULY 27, 2022

Data Science Expertise Meets Scalability. You interact with everything via our Python clients wrapping our API endpoints. DataRobot AI Cloud platform has an absolutely fantastic training pipeline with AutoML and also has a rock-solid inference system. In this demo, we are completely unattended.

Metrics 52

Metrics Deep Learning Modeling Machine Learning 52

Insight

MAY 16, 2019

It is a high-level, multifaceted field that allows machines to iteratively learn and understand complex representations from images and videos to automate human visual tasks. How Deep Learning scales based on the amount of Data [Copyright: Andrew Ng ].

Deep Learning 84

Deep Learning Machine Learning Metadata Data Science 84

Insight

AUGUST 17, 2020

The Remote Experience While this was the first session for Insight in which all Fellows participated remotely, we’ve been offering a remote data science program since 2015. We’re happy to report that we successfully adapted what we’ve learned during that time to all 7 of our programs across all locations.

Data Science 63

Data Science Data Processing Cost-Benefit Strategy 63

Smart Data Collective

APRIL 3, 2020

Fortunately, new advances in data science have made it easier than ever to reply to customers any time of the day. These new types of data technology are a lifesaver for countless entrepreneurs. With the help of chatbots, you can interact with your customers even if you are sleeping. How Data-Driven Bots Can Help You.

Big Data 94

Big Data Data-driven Data mining Software 94