Analytics Vidhya

JULY 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. In this article, we discuss how to cook the data. The post Cook the data for your Machine Learning Algorithm appeared first on Analytics Vidhya.

Machine Learning 357

Machine Learning Data Science Publishing Analytics 357

David Menninger's Analyst Perspectives

JULY 23, 2021

I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The 2021 Ventana Research Value Index: Collaborative Analytics and Data is the distillation of a year of market and product research by Ventana Research. See our prior post for a description of our methodology and included vendors.

Marketing 246

Marketing Analytics Business Intelligence Technology 246

Analytics Vidhya

JULY 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Logistic Regression is another statistical model which is used for. The post Geometrical Approach To Understand Logistic Regression appeared first on Analytics Vidhya.

Statistics 342

Statistics Data Science Publishing Modeling 342

Smart Data Collective

JULY 23, 2021

Artificial intelligence has played a very important role in modern cyber attacks. Although AI technology has been very important in creating safeguards to stop these attacks, it has also been used to make these attacks even more vicious. Many hackers are using both social engineering and A I to exploit targets more effectively. A number of countries have engaged in cyber attacks against each other.

Measurement 139

Measurement Risk Data-driven Digital Transformation 139

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

Analytics Vidhya

JULY 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction. This article will continue from where the previous article(s) left. The post Some Advanced OpenCV Functions For Computer Vision Project Continued appeared first on Analytics Vidhya.

Data Science 337

Data Science Publishing Analytics 337

Smart Data Collective

JULY 23, 2021

Do you remember the simpler times when we imagined: “one day, robots will roam the streets and act like people”? It sounded unrealistic, that something other than humans will be able to perform our functions. However, now when technology advances at an unbelievable rate, this is becoming more tangible than ever. It’s no longer a fruit of our imagination, not with chatbots acting like humans and machines doing tons of our work.

Broadcasting 132

Broadcasting Sales Machine Learning Technology 132

Dataiku

JULY 23, 2021

Dr. Jason Brownlee, Ph.D., is a machine learning specialist and founding researcher at Machine Learning Mastery. According to Dr. Brownlee, “ feature engineering is the process of transforming raw data into features that better represent the underlying problem to the predictive models, resulting in improved model accuracy on unseen data.” In his perspective, it comes down to getting the most out of your data for predictive modeling.

Predictive Modeling 105

Predictive Modeling Machine Learning Modeling IT 105

Analytics Vidhya

JULY 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Regular Expressions, also known as “regex” or “regexp”, are used. The post Regular Expressions in Python -A Beginners Guide appeared first on Analytics Vidhya.

Data Science 315

Data Science Publishing Analytics 315

Smart Data Collective

JULY 23, 2021

There are plenty of challenges that companies face when it comes to recruitment. For one, the job market has become increasingly candidate-driven. This has resulted in a more difficult and costly process in filling open positions. What’s more, the competition for quality talent is fiercer than ever. If you don’t move fast enough, you’ll miss out on the top candidates.

Big Data 108

Big Data Data-driven Metrics Advertising 108

Analytics Vidhya

JULY 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Let’s start our discussion by imagine a scenario where you. The post Data Leakage And Its Effect On The Performance of An ML Model appeared first on Analytics Vidhya.

Modeling 315

Modeling IT Data Science Publishing 315

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

CIO Business Intelligence

JULY 23, 2021

Data visualization platform Tableau is one of the most widely used tools in the rapidly growing business intelligence (BI) space and individuals with skills in Tableau are in high demand. Market intelligence and advisory firm Mordor Intelligence forecasts the global data visualization market to achieve a compound annual growth rate of 9.69% between 2021 and 2026 as businesses seek to become more analytically driven.

Visualization 87

Visualization Forecasting Data-driven Business Intelligence 87

Analytics Vidhya

JULY 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Ever since history, people have always been interested in forecasting, The post Understanding The Basics of Time Series Forecasting appeared first on Analytics Vidhya.

Forecasting 299

Forecasting Data Science Publishing Analytics 299

MLWhiz

JULY 23, 2021

Algorithms are an integral part of data science. While most of us data scientists don’t take a proper algorithms course while studying, they are important all the same.

Data Science 52

Data Science 52

Analytics Vidhya

JULY 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction: Pandas is a library generally used for data manipulation and. The post Pandas: A Hands-On Guide For Beginners appeared first on Analytics Vidhya.

Data Science 283

Data Science Publishing Analytics 283

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

MLWhiz

JULY 23, 2021

In my last series of posts on Transformers, I talked about how a transformer works and how to implement one yourself for a translation task.

52

52

CDW Research Hub

JULY 23, 2021

Snowflake is the data cloud that boasts instant elasticity, secure data sharing and per-second pricing across multiple clouds. Its ability to natively load and use SQL to query semi-structured and structured data within a single system simplifies your data engineering. Sirius’ Snowflake Immersion Days video series are virtual learning sessions designed to provide technical, hands-on training for data engineers and data analysts.

Structured Data 52

Structured Data Consulting Strategy Data Strategy 52

MLWhiz

JULY 23, 2021

In my last post on BERT , I talked in quite a detail about BERT transformers and how they work on a basic level.

52

52

Sisense

JULY 23, 2021

Blog. Staging the Olympic Games is one of the most complex peace-time operations in the world: The 16 days of competition require at least 7 years of preparation beforehand and about a year afterward to break it all down. During this period, those working for each city’s Organising Committee for the Olympic Games (OCOG) collect a huge amount of data about the planning and delivery of the Games.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

MLWhiz

JULY 23, 2021

Finally, my program is running! Should I go and get a coffee?

59

59

Jet Global

JULY 23, 2021

According to the recent FSN’s Agility in Planning, Budgeting, and Forecasting (PBF) Survey 2021, the effective use of scenario planning enables organizations to respond quickly and confidently during times of extreme change. FSN founds that 77 percent of organizations that find the time to consider alternative scenarios can reforecast earnings within a week.

Recreation/Entertainment 98

Recreation/Entertainment Forecasting Finance Software 98