Analytics Vidhya

MAY 3, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post Implement Of Decision Tree Using Chi_Square Automatic Interaction Detection appeared first on Analytics Vidhya. DECISION TREE Decision tree learning or classification Trees are a.

Interactive 211

Interactive Data Science Publishing Analytics 211

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. It also includes Jupyter notebooks.

Data Science 84

Data Science Deep Learning Interactive IT 84

Analytics Vidhya

JULY 15, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction A technology that makes the interaction between humans and machines. The post Let’s Understand How does a chatbot work ? appeared first on Analytics Vidhya.

Interactive 309

Interactive Data Science Publishing Technology 309

Analytics Vidhya

MAY 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Python is a general-purpose interpreted, interactive, object-oriented high-level programming language. The post Data Types in Python appeared first on Analytics Vidhya.

Interactive 313

Interactive Data Science Publishing Analytics 313

Data Science 101

APRIL 26, 2019

While it is not one of the popular programming languages for data science, The Go Programming Language (aka Golang) has surfaced for me a few times in the past few years as an option for data science. I decided to do some searching and find some conclusions about whether golang is a good choice for data science.

Data Science 111

Data Science Machine Learning Interactive Risk 111

CIO Business Intelligence

JUNE 29, 2022

The insights provided by analytics “in the moment” can uncover valuable information in customer interactions and alert users or trigger responses as events happen. All interactions are digital interactions. In a business context, this is defined as an interaction. The open data stack. billion market by 2026.

Interactive 83

Interactive Data-driven Data Architecture Software 83

Analytics Vidhya

JUNE 2, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Jupyter — An open-source, interactive tool known as a computational notebook, The post JupyterLab 3.0 : Jupyter’s Next-Gen Notebook Interface appeared first on Analytics Vidhya.

Data Science 231

Data Science Interactive Publishing Analytics 231

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

Rocket-Powered Data Science

MARCH 10, 2020

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. Graph Algorithms book.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Data Science 101

SEPTEMBER 20, 2023

Quantum Computing is starting to gain attention in the developer world and startup circles. Here is a large listing of resources for learning about quantum computing.

Interactive 111

Interactive Technology Data Science 111

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. Types of decision support system In the book Decision Support Systems: Concepts and Resources for Managers , Daniel J. Analytics, Data Science

Data mining 129

Data mining Data-driven Statistics OLAP 129

Cloudera

NOVEMBER 5, 2021

That’s why I am proud of our collaboration with Cloudera in making A Fresh Squeeze on Data – A picture book about problem-solving with DATA that encourages children worldwide to transform from passive spectators of technology disruption to active participants of positive change in their local communities and the world. .

Visualization 83

Visualization Uncertainty Insurance Machine Learning 83

datapine

MARCH 31, 2022

For example, if you enjoy computer science, programming, and data but are too extroverted to program all day long, you could work in a more human-oriented area of intelligence for business, perhaps involving more face-to-face interactions than most programmers would encounter on the job. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Data Science 101

AUGUST 28, 2023

I also had reminders set up to interact with them. My favorite website this year for design patterns and refactoring: refactoring.guru/desig… Favorite Books this year: Deep Work by Cal Newport and Pragmatic Thinking and Learning by Andy Hunt. I talk to most of them to this day, even tho I don’t need a job anymore.

Recreation/Entertainment 98

Recreation/Entertainment Testing Interactive Software 98

Smart Data Collective

SEPTEMBER 14, 2022

He wrote a post in Towards Data Science that addressed the benefits of using artificial intelligence to take advantage of these opportunities. An advanced HFT tool should allow for maximum connectivity to various platforms with minimal additional interaction on the user’s side. Books and Online Resources.

Marketing 80

Marketing Testing Data-driven Machine Learning 80

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

O'Reilly on Data

NOVEMBER 13, 2018

Below are the top search topics on our training platform: Beyond “search,” note that we’re seeing strong growth in consumption of content related to ML across all formats—books, posts, video, and training. Data Platforms. In our own online training platform (which has more than 2.1 Model lifecycle management. Privacy and security.

Machine Learning 224

Machine Learning Risk Management Statistics 224

Data Science 101

JANUARY 19, 2021

She has organized conferences, served as an editor for numerous publications, and authored 3 books. Deb joined to talk about goal setting and her latest book, Your Goal Guide. Get Yourself a copy of Deb’s latest book, Your Goal Guide: A Roadmap for setting, planning, and achieving your goals. Do I write a book?

Recreation/Entertainment 98

Recreation/Entertainment IT Data Science Management 98

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often With breaking this bottleneck in mind, I’ve used my time as an Insight Data Science Fellow to build the AIgent, a web-based neural net to connect writers to representation. often without even looking at it.

Modeling 59

Modeling Metadata Publishing Sales 59

Smart Data Collective

MAY 30, 2019

They rely on big data to better serve customers. Namee Jani wrote a fascinating article on chatbots and data analytics last year. She said they are the next big thing in business optimization in her article on Towards Data Science. Big Data Leads to the Deployment of More Sophisticated Chatbots.

Big Data 79

Big Data Machine Learning Insurance Cost-Benefit 79

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Learning Data Science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Perceptual Edge

FEBRUARY 23, 2018

My new book, Big Data, Big Dupe , was published early this month. Big Data, Big Dupe confirms what these seasoned data professionals recognized long ago on their own, and in some cases have been arguing for years. Like yourself I have been doing business intelligence, data science, data warehousing, etc.,

Big Data 59

Big Data Reporting Marketing Business Intelligence 59

Insight

NOVEMBER 14, 2019

Snapshot of interactive visualization of the topics identified by Guided LDA and the keywords in each topic (pyLDAvis) Originally posted on A nalytics Vidhya. The prevalent use of online platforms for interaction and the large size of the text data from users’ input makes digesting data increasingly more time-consuming.

Testing 54

Testing Modeling Strategy Interactive 54

IBM Big Data Hub

SEPTEMBER 7, 2022

Today, the Summer School has grown to include over 400 data leaders across 46 countries and nearly 25 industries. We recommend that data leaders pick a small problem and solve that, then look at the impact. Do your data governance systems desperately need an overhaul or is your data visualization in need of a spruce up?

Data Strategy 52

Data Strategy Strategy Data-driven Data Quality 52

CIO Business Intelligence

MARCH 31, 2023

Through the program, you can opt to earn your CCBA certification as well as certifications in Agile Scrum Foundation, Digital Transformation for Leaders, Python for Data Science, and R Programming for Data Science. The course promises to make you an expert in Excel, CBAP, Tableau, Scrum, SQL, and CCBA.

Business Analysis 87

Business Analysis Testing Business Analytics Statistics 87

Sisense

APRIL 13, 2020

In fact, reading books and listening to audiobooks is up 35% worldwide as of March 2020, due to the COVID-19 pandemic. If data science is your jam, there are so many exciting new developments in AI, machine learning, natural language processing, and graph databases that you could keep busy reading for days on end.

Uncertainty 83

Uncertainty Marketing Digital Transformation Forecasting 83

Cloudera

APRIL 4, 2019

A company’s culture is its basic personality and the essence of how employees interact and work. A company who lives and embraces a true customer centric culture conducts business with customers in such a way that provides them a positive experience throughout each and every interaction they have with your brand.

Insurance 54

Insurance IT Interactive Cost-Benefit 54

Jen Stirrup

APRIL 2, 2019

I thought I’d share how we started to apply marketing theory, practice, and insights from data. There are tons of ‘skate on the surface’ marketing soundbite books, which may sound good at the first glance with no depth. If you need a hand with these concepts, don’t hesitate to get in touch over at Data Relish.

Marketing 60

Marketing Advertising Data-driven Strategy 60

datapine

APRIL 14, 2022

After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs. However, the usage of data analytics isn’t limited to only these fields. Download our free summary outlining the best big data examples! “And

Big Data 244

Big Data Recreation/Entertainment Analytics Data-driven 244

The Unofficial Google Data Science Blog

JANUARY 14, 2016

by AMIR NAJMI Running live experiments on large-scale online services (LSOS) is an important aspect of data science. In this post we explore how and why we can be “ data-rich but information-poor ”. There are many reasons for the recent explosion of data and the resulting rise of data science.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

O'Reilly on Data

OCTOBER 11, 2022

We can see what books and courses our customers are using, and for how long. We know if customers only read the first chapter of some book, and can think about what how to improve it. The data available to our retail business is much more limited. The online business is information-rich; the retail business is information-poor.

Data Integration 300

Data Integration Insurance Dashboards Modeling 300

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Data Science 101

OCTOBER 12, 2023

I get to interact with really amazing people and because the signal to noise ratio is so high, they interact back. You are writing a book about Semantic Kernel. While I’m working hard on the book, it’s still a few months out. The engagement is great.

Finance 64

Finance Machine Learning Interactive Manufacturing 64

O'Reilly on Data

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” ” I’ve called out the data field’s rebranding efforts before; but even then, I acknowledged that these weren’t just new coats of paint. Things fall off after that.

Machine Learning 256

Machine Learning Testing Modeling Cost-Benefit 256

DataRobot

MAY 6, 2021

As I pulled books from my bookcase, packing them into boxes to go into storage, I found my Blockbuster Video membership card. I’d tucked it inside a book as a bookmark. In addition to the books, I also put my DVD player into storage. Don’t replace human interactions with computers. We are inherently social creatures.

Forecasting 145

Forecasting Measurement Reporting Data-driven 145

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Domino Data Lab

APRIL 17, 2019

Special thanks to Addison-Wesley Professional for permission to excerpt the following “Software Architecture” chapter from the book, Machine in Production. This chapter excerpt provides data scientists with insights and tradeoffs to consider when moving machine learning models to production. Figure 17.1

Machine Learning 87

Machine Learning Software Cost-Benefit Interactive 87