Analytics Vidhya

MARCH 22, 2023

Introduction Source: App Inventiv Like other industries, 2020 (the COVID-19 pandemic) was a rough patch for the insurance industry. But even then, the phase proved to be a turning point that reinforced the importance of technology, especially Machine Learning and Artificial Intelligence.

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Analytics Vidhya

APRIL 19, 2023

Introduction According to a report by the International Energy Agency (IEA), the lifecycle of buildings from construction to demolition was responsible for 37% of global energy-related and process-related CO2 emissions in 2020.

Machine Learning 302

Machine Learning Strategy Reporting Analytics 302

Analytics Vidhya

MAY 10, 2021

Introduction Machine Learning is the trending digital technology in today’s world, The post Bar Chart Race of World Population by 2020 in Python appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon.

Machine Learning 383

Machine Learning Data Science Publishing Technology 383

Analytics Vidhya

MARCH 12, 2020

Introduction TensorFlow is a popular and leading open-source framework for developing machine learning and deep learning applications. The post Top Highlights from TensorFlow Dev Summit 2020! Developed and pioneered by Google, TensorFlow is. appeared first on Analytics Vidhya.

Deep Learning 341

Deep Learning Machine Learning Analytics 341

datapine

NOVEMBER 27, 2019

The trends we presented last year will continue to play out through 2020. In 2020, BI tools and strategies will become increasingly customized. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Analytics Vidhya

DECEMBER 22, 2019

Overview A comprehensive look at the top machine learning highlights from 2019, including an exhaustive dive into NLP frameworks Check out the machine learning. The post 2019 In-Review and Trends for 2020 – A Technical Overview of Machine Learning and Deep Learning!

Deep Learning 208

Deep Learning Machine Learning Analytics Data Science 208

Rocket-Powered Data Science

JULY 6, 2021

The year 2020 was remarkably different in many ways from previous years. I provide below my perspective on what was interesting, innovative, and influential in my watch list of the Top 10 data innovation trends during 2020. 2) MLOps became the expected norm in machine learning and data science projects.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

Analytics Vidhya

DECEMBER 15, 2020

Overview Here is a list of Top 15 Datasets for 2020 that we feel every data scientist should practice on The article contains 5. The post Top 15 Open-Source Datasets of 2020 that every Data Scientist Should add to their Portfolio! appeared first on Analytics Vidhya.

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datapine

DECEMBER 11, 2019

billion by 2022—a level of growth that will shape SaaS trends in 2020. With a new year on the horizon, in this article, we’ll explore 10 essential SaaS trends that will stand out in 2020. Before we dig any deeper into our top ten SaaS industry trends for 2020, let’s dispel some common myths surrounding the industry.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

DataKitchen

DECEMBER 30, 2020

While 2020 has been a collectively difficult year, we want to take a moment to thank all of our employees for the hard work they put into continually developing our DataKitchen DataOps Platform for our customers. CRN’s The 10 Hottest Data Science & Machine Learning Startups of 2020 (So Far).

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Testing Big Data Statistics Manufacturing 241

Analytics Vidhya

JUNE 18, 2020

UnLock your Once-in-a-Lifetime Learning Opportunity What if you were provided with the highest quality machine learning and business analytics courses, at an unmissable price, The post UnLock 2020 – Announcing Starter Programs in Machine Learning and Business Analytics at an Unmissable Price appeared first on Analytics Vidhya.

Machine Learning 165

Machine Learning Business Analytics Analytics 165

datapine

NOVEMBER 19, 2019

In this post, we’re going to give you the 10 IT & technology buzzwords you won’t be able to avoid in 2020 so that you can stay poised to take advantage of market opportunities and new conversations alike. Get the inside scoop and learn all the new buzzwords in tech for 2020! Computer Vision. Artificial Intelligence (AI).

Technology 279

Technology Internet of Things IT IoT 279

O'Reilly on Data

FEBRUARY 11, 2020

Almost half (48%) of respondents say they use data analysis, machine learning, or AI tools to address data quality issues. As for a lack of resources (cited by more than 40% of respondents), there’s at least some reason for hope: machine learning (ML) and artificial intelligence (AI) could provide a bit of a boost.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

Analytics Vidhya

DECEMBER 18, 2019

Overview Check out our pick of the 30 most challenging open-source data science projects you should try in 2020 We cover a broad range. The post 30 Challenging Open Source Data Science Projects to Ace in 2020 appeared first on Analytics Vidhya.

Data Science 271

Data Science Analytics Deep Learning Machine Learning 271

datapine

DECEMBER 4, 2019

That’s why we have prepared a list of the most prominent business intelligence buzzwords that will dominate in 2020. Exclusive Bonus Content: Get Our 2020 BI Buzzwords Handbook! We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

O'Reilly on Data

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. The sweeping California Consumer Privacy Act (CCPA), which has been called California’s GDPR, went into effect on January 1, 2020.

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Data-driven Software Statistics Marketing 363

KDnuggets

MARCH 13, 2020

This articles outlines 5 sets of tools every lazy full-stack data scientist should use.

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Machine Learning 160

Corinium

FEBRUARY 10, 2020

Ahead of this week’s Chief Data & Analytics Officers UK conference, Denodo’s Paul Moxon, Hitachi Vantara’s Gwyn Evans and Dataiku’s Nadim Antar give their top predictions for the UK’s data and analytics industry in 2020.

Analytics 221

Analytics Machine Learning 221

Corinium

JANUARY 2, 2020

Our latest benchmarking survey of more than 600 global data and analytics leaders shows that 80% have already deployed machine learning (ML) algorithms within their organizations. AI looks set to become an integral part of modern business.

Machine Learning 221

Machine Learning Analytics 221

David Menninger's Analyst Perspectives

FEBRUARY 18, 2020

Ventana Research recently announced its 2020 research agenda for analytics , continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value from their technology investments and improve business outcomes.

Analytics 211

Analytics Optimization Marketing Internet of Things 211

KDnuggets

MARCH 9, 2020

Upgrading your machine learning, AI, and Data Science skills requires practice. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.

Machine Learning 160

Machine Learning Data Science Modeling 160

Data Science 101

MARCH 23, 2020

This keynote was delivered at ODSC East 2020. The post Hilary Mason – The Future of AI and Machine Learning appeared first on Data Science 101. She has been involved in the data science space for over a decade. She is a real thought leader in the data space.

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Machine Learning Data Science 140

KDnuggets

JANUARY 9, 2020

This book is thought for beginners in Machine Learning, that are looking for a practical approach to learning by building projects and studying the different Machine Learning algorithms within a specific context.

Machine Learning 160

Machine Learning 160

KDnuggets

JANUARY 17, 2020

This summary overviews the keynote at TensorFlow World by Jeff Dean, Head of AI at Google, that considered the advancements of computer vision and language models and predicted the direction machine learning model building should follow for the future.

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Machine Learning Modeling 148

O'Reilly on Data

FEBRUARY 19, 2021

MLOps attempts to bridge the gap between Machine Learning (ML) applications and the CI/CD pipelines that have become standard practice. The Time Is Now to Adopt Responsible Machine Learning. Responsible Machine Learning (ML) is a movement to make AI systems accountable for the results they produce.

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Data Lake Machine Learning Data Warehouse Modeling 362

Business Over Broadway

FEBRUARY 1, 2021

A worldwide survey of data professionals showed that adoption of machine learning methods in their company is 45%. Businesses are leveraging the power of machine learning methods to help them extract better quality information, increase productivity, reduce costs and extract more value from their data. ” Figure 1.

Machine Learning 119

Machine Learning Data Science Enterprise Sales 119

Rocket-Powered Data Science

OCTOBER 16, 2020

The 2020 year of the pandemic has forced organizations to speed up their digital transformation and advanced technology adoption plans, essentially compressing several years of anticipated developments into several months. In the recent 2020 RELX Emerging Tech Study , results were presented from a survey of over 1000 U.S.

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Strategy Insurance Snapshot Digital Transformation 198

KDnuggets

MARCH 8, 2020

For the international women's day, we feature resources to help more women enter and succeed in AI, Big Data, Data Science, and Machine Learning fields.

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Machine Learning Data Science Big Data 159

Smart Data Collective

DECEMBER 26, 2020

Machine learning has always been the great hope for automating a variety of tasks. What is Artificial Intelligence and Why is Machine Learning Crucial? However, when combined with machine learning artificial intelligence has the capacity it needs to essentially be taught to produce. Conclusion.

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Machine Learning Reporting Software Publishing 141

KDnuggets

MARCH 23, 2020

TensorFlow Quantum allow data scientists to build machine learning models that work on quantum architectures.

Machine Learning 159

Machine Learning Modeling 159

KDnuggets

MARCH 12, 2020

A new optimization framework helps to incorporate fairness constraints in machine learning models.

Machine Learning 153

Machine Learning Modeling Optimization 153

KDnuggets

JANUARY 21, 2020

Here are some AI-related books that I’ve read and recommend for you to add to your 2020 reading list!

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Deep Learning Machine Learning 158

Analytics Vidhya

JULY 23, 2020

Note: This article was originally published on May 29, 2017, and updated on July 24, 2020 Overview Neural Networks is one of the most. The post Understanding and coding Neural Networks From Scratch in Python and R appeared first on Analytics Vidhya.

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KDnuggets

MARCH 13, 2020

I train a series of Machine Learning models using the iris dataset, construct synthetic data from the extreme points within the data and test a number of Machine Learning models in order to draw the decision boundaries from which the models make predictions in a 2D space, which is useful for illustrative purposes and understanding on how different (..)

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Machine Learning Modeling Testing 134

CIO Business Intelligence

MAY 23, 2024

Much of the data that organizations are mining is unstructured or semi-structured, and the trend is growing such that more than 80% of corporate data is expected to be unstructured by 2020 [1]. In response to this challenge, vendors have begun offering Machine Learning as a Service (MLaaS).

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Machine Learning Forecasting Business Intelligence Software 109

KDnuggets

MARCH 18, 2020

Support Vector Machines (SVMs) are powerful for solving regression and classification problems. You should have this approach in your machine learning arsenal, and this article provides all the mathematics you need to know -- it's not as hard you might think.

Machine Learning 143

Machine Learning IT 143