Analytics Vidhya

MAY 26, 2023

The concept of Data Science was first used at the start of the 21st century, making it a relatively new area of research and technology. Before you decide […] The post Data Science Subjects and Syllabus [Latest Topics Included] appeared first on Analytics Vidhya.

Data Science 279

Data Science Predictive Modeling Modeling Technology 279

CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024.

Data Science 125

Data Science Machine Learning Predictive Modeling Experimentation 125

KDnuggets

OCTOBER 10, 2022

The only cheat you need for a job interview and data professional life. It includes SQL, web scraping, statistics, data wrangling and visualization, business intelligence, machine learning, deep learning, NLP, and super cheat sheets.

Data Science 159

Data Science Deep Learning Statistics Machine Learning 159

CIO Business Intelligence

APRIL 25, 2022

An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. Here are the top 15 data science boot camps to help you launch a career in data science, according to reviews and data collected from Switchup.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Smart Data Collective

JUNE 4, 2021

What is data science? Data science is analyzing and predicting data, It is an emerging field. Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. These data models predict outcomes of new data. Statistics.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

KDnuggets

OCTOBER 27, 2023

This week on KDnuggets: Go from learning what large language models are to building and deploying LLM apps in 7 steps • Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning • And much, much more!

Deep Learning 107

Deep Learning Data Science Statistics Machine Learning 107

datapine

MAY 14, 2019

By gaining the ability to understand, quantify, and leverage the power of online data analysis to your advantage, you will gain a wealth of invaluable insights that will help your business flourish. The ever-evolving, ever-expanding discipline of data science is relevant to almost every sector or industry imaginable – on a global scale.

Data Science 350

Data Science Machine Learning Data-driven Big Data 350

Analytics Vidhya

DECEMBER 13, 2021

Pursuing any data science project will help you polish your resume. The post Top Data Science Projects to add to your Portfolio in 2021 appeared first on Analytics Vidhya. Introduction 2021 is a year that proved nothing is better than a Proof of Work to evaluate any candidate’s worth, initiative, and skill.

Data Science 327

Data Science Analytics Data mining Deep Learning 327

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

Smart Data Collective

JUNE 10, 2022

Are you interested in a career in data science? The Bureau of Labor Statistics reports that there are over 105,000 data scientists in the United States. The average data scientist earns over $108,000 a year. Data Scientist. Machine Learning Engineer. Business Intelligence Developer.

Data Science 117

Data Science Machine Learning Statistics Business Intelligence 117

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

Rocket-Powered Data Science

JULY 6, 2023

It is merely a very large statistical model that provides the most likely sequence of words in response to a prompt. That scenario is being played out again with ChatGPT and prompt engineering, but now our queries are aimed at a much more language-based, AI-powered, statistically rich application. Guess what? It isn’t.

Statistics 151

Statistics Deep Learning Machine Learning Modeling 151

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

DECEMBER 23, 2021

This article was published as a part of the Data Science Blogathon Optimization Optimization provides a way to minimize the loss function. Optimization aims to reduce training errors, and Deep Learning Optimization is concerned with finding a suitable model. In this article, we will […].

Optimization 296

Optimization Modeling Deep Learning Data Science 296

Domino Data Lab

JULY 10, 2019

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

Analytics Vidhya

FEBRUARY 24, 2021

ArticleVideo Book Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional appeared first on Analytics Vidhya.

Data Science 301

Data Science Machine Learning Analytics IT 301

Rocket-Powered Data Science

JULY 30, 2018

Being Human in the Age of Artificial Intelligence” “An Introduction to Statistical Learning: with Applications in R” (7th printing; 2017 edition). Being Human in the Age of Artificial Intelligence” “An Introduction to Statistical Learning: with Applications in R” (7th printing; 2017 edition).

Machine Learning 197

Machine Learning Deep Learning Statistics Data Processing 197

Analytics Vidhya

MAY 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In Machine learning or Deep Learning, some of the models. The post How to transform features into Normal/Gaussian Distribution appeared first on Analytics Vidhya.

Deep Learning 280

Deep Learning Machine Learning Data Science Publishing 280

Data Science and Beyond

JANUARY 11, 2020

My story seems to reflect that: From my first steps in sentiment analysis and topic modelling, through building recommender systems while dabbling in Kaggle competitions and deep learning a few years ago, and to my present-day interest in causal inference. I learned about Bayesian statistics and conjugate priors.

Software 103

Software Data Science Machine Learning Deep Learning 103

Analytics Vidhya

NOVEMBER 6, 2020

Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry-Ready Data Science Professional appeared first on Analytics Vidhya.

Data Science 253

Data Science Machine Learning Analytics IT 253

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

Analytics Vidhya

FEBRUARY 23, 2023

Introduction Data analysts with the technological know-how to tackle challenging problems are data scientists. They collect, analyze, interpret data, and handle statistics, mathematics, and computer science. They are accountable for providing insights that go beyond statistical analyses.

Statistics 280

Statistics Technology Analytics Deep Learning 280

CIO Business Intelligence

JANUARY 26, 2024

Carnegie Mellon University The Machine Learning Department of the School of Computer Science at Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), itself created in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning.

Machine Learning 100

Machine Learning Statistics Recreation/Entertainment Data Science 100

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. What are Data Scientists?

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

CIO Business Intelligence

JANUARY 24, 2024

It’s the culmination of a decade of work on deep learning AI. Deep learning AI: A rising workhorse Deep learning AI uses the same neural network architecture as generative AI, but can’t understand context, write poems or create drawings. You probably know that ChatGPT wasn’t built overnight.

Deep Learning 86

Deep Learning Unstructured Data Machine Learning Modeling 86

CIO Business Intelligence

JUNE 7, 2022

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. It is frequently used for risk analysis.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

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

APRIL 25, 2019

A few years ago, I generated a list of places to receive data science training. Learn the what, why, and how of Data Science and Machine Learning here. That list has become a bit stale. Follow Kirk Borne on Twitter @KirkDBorne. Follow Kirk Borne on Twitter @KirkDBorne.

Data Science 38

Data Science Machine Learning Deep Learning Statistics 38

CIO Business Intelligence

MAY 20, 2022

The Machine Learning Department at Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), itself created in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning. University of California–Berkeley.

Machine Learning 144

Machine Learning Statistics Recreation/Entertainment Data Science 144

Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. The details are below.

KDD 81

KDD Knowledge Discovery Data mining Statistics 81

ScienceSoft

JANUARY 24, 2019

Here, we describe three pills you can take - simple math, statistics and machine or namely deep learning - and show why data science can be your #1 painkiller. Is inventory optimization still your headache?

Optimization 40

Optimization Data Science Deep Learning Statistics 40

CIO Business Intelligence

OCTOBER 13, 2023

It’s a role that requires experience with natural language processing , coding languages, statistical models, and large language and generative AI models. According to the survey, 28% of respondents said they have hired data scientists to support generative AI, while 30% said they have plans to hire candidates.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Analytics Vidhya

JUNE 5, 2023

In today’s data-driven world, data scientists play a crucial role in helping businesses make informed decisions by analyzing and interpreting data.

Strategy 209

Strategy Statistics Machine Learning Data-driven 209

CIO Business Intelligence

JANUARY 25, 2024

That doesn’t mean getting certifications in deep learning or mastering natural language processing. Understand data The people driving innovation in any organization have to be passionate about data and its possibilities. “We People need to take the enigma out of AI and make it human,” Subbaiah says.

Deep Learning 99

Deep Learning Cost-Benefit Statistics Manufacturing 99

KDnuggets

SEPTEMBER 17, 2019

We identify two main groups of Data Science skills: A: 13 core, stable skills that most respondents have and B: a group of hot, emerging skills that most do not have (yet) but want to add. See our detailed analysis.

Data Science 123

Data Science Deep Learning Statistics Machine Learning 123

Sisense

APRIL 10, 2020

One of the most-asked questions from aspiring data scientists is: “What is the best language for data science? People looking into data science languages are usually confused about which language they should learn first: R or Python. NLP can be used on written text or speech data. R or Python?”.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

Business Over Broadway

SEPTEMBER 5, 2018

Data is the Fuel; Data Science is the Engine. The Call for Code Challenge will necessarily be fueled by data; data, after all, represent the underlying processes that generate the data. If you understand the data, you understand the process that generates them. Red Cross Catalogs and Resources.

Data Science 57

Data Science Statistics Advertising Deep Learning 57