KDnuggets

DECEMBER 16, 2019

Predictions for 2020 from a dozen innovative companies in AI, Analytics, Machine Learning, Data Science, and Data industry.

Machine Learning 110

Machine Learning Data Science Data 110

U-Next

SEPTEMBER 13, 2022

Before we begin, rest assured that this compilation contains Data Science interview questions for freshers as well as early professionals. You will also learn top Machine Learning interview questions along the way! . Due to the immense value of data, Data Science has become increasingly popular over time.

Machine Learning 40

Machine Learning Data Science Deep Learning Algorithm 40

KDnuggets

JULY 25, 2019

Here are the top certificates and certifications in Analytics, AI, Data Science, Machine Learning and related areas.

Certification 122

Certification Machine Learning Data Science Data 122

KDnuggets

DECEMBER 9, 2019

As we say goodbye to one year and look forward to another, KDnuggets has once again solicited opinions from numerous research & technology experts as to the most important developments of 2019 and their 2020 key trend predictions.

Deep Learning 81

Deep Learning Machine Learning Data Science Technology 81

KDnuggets

DECEMBER 26, 2019

Getting ready to leap into the world of Data Science? Consider these top machine learning courses curated by experts to help you learn and thrive in this exciting field.

Machine Learning 153

Machine Learning Data Science Deep Learning Education 153

Knowledge Hut

JUNE 13, 2024

So, let us learn about the importance of data science in healthcare. We will also provide insights about how to pursue a career in data science in healthcare, and how a Data Science certified course can help you achieve your dreams of how to become a healthcare scientist.

Healthcare 52

Healthcare Data Science Medical Pharmaceutical 52

Zalando Engineering

APRIL 18, 2022

To optimize the fashion experience for 46 million of our customers, Zalando embraces the opportunities provided by machine learning (ML). Let's look at it from the point of view of a machine learning practitioner, such as an applied scientist or a software engineer. Internally we call this environment Datalab.

Machine Learning 52

Machine Learning AWS Software Engineer Software Engineering 52

Knowledge Hut

DECEMBER 26, 2023

In today’s AI-driven world, Data Science has been imprinting its tremendous impact, especially with the help of the Python programming language. Owing to its simple syntax and ease of use, Python for Data Science is the go-to option for both freshers and working professionals.

Data Science 92

Data Science Python Programming Language Portfolio 92

KDnuggets

DECEMBER 16, 2019

Also: Plotnine: Python Alternative to ggplot2; AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020; Moving Predictive Maintenance from Theory to Practice; 10 Free Top Notch Machine Learning Courses; Math for Programmers!

Machine Learning 46

Machine Learning Data Science Deep Learning Building 46

ProjectPro

JANUARY 20, 2022

“Humans can typically create one or two good models a week; machine learning can create thousands of models a week.” In recent years, AI and Machine Learning have transformed the world, making it smarter and faster. We have put together the ideal artificial intelligence and machine learning path for you.

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

KDnuggets

AUGUST 14, 2019

At times it may seem Machine Learning can be done these days without a sound statistical background but those people are not really understanding the different nuances. Code written to make it easier does not negate the need for an in-depth understanding of the problem.

Machine Learning 117

Machine Learning Coding IT Data Science 117

KDnuggets

SEPTEMBER 13, 2019

I am a Git god, why do I need another version control system for Machine Learning Projects?

Machine Learning 100

Machine Learning Datasets Data Science Project 100

ProjectPro

FEBRUARY 25, 2022

Online fraud cases using credit and debit cards saw a historic upsurge of 225 percent during the COVID-19 pandemic in 2020 as compared to 2019. As per the NCRB report, the tally of credit and debit card fraud stood at 1194 in 2020 compared to 367 in 2019. do not require labeled data for training the model.

Machine Learning 52

Machine Learning Project Algorithm Datasets 52

Jesse Anderson

DECEMBER 12, 2022

For the majority of companies, that was the only title working on data problems at scale. Honorable mentions to Paco Nathan, John Thompson, and Tom Davenport who wrote about data science and analytic team management. It is prominently data engineering and all of the technical debt difficulties that come with data.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

KDnuggets

SEPTEMBER 19, 2019

“I want to learn machine learning and artificial intelligence, where do I start?”

Machine Learning 107

Machine Learning Data Science Python Data 107

KDnuggets

DECEMBER 11, 2019

AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments and Key Trends; Down with technical debt! Clean #Python for #DataScientists; Calculate Similarity?-?the the most relevant Metrics in a Nutshell.

Deep Learning 47

Deep Learning Machine Learning Data Science Python 47

ProjectPro

NOVEMBER 24, 2021

“Is data science hard to learn?”, ”, “Is data science a hard job?”, ”, “Is it hard to get a data science job?” ” Are you a data science enthusiast who believes data science is hard and keeps thinking about such questions?

Data Science 52

Data Science Consulting Machine Learning Software Engineer 52

ProjectPro

OCTOBER 27, 2021

Wondering how to implement machine learning in finance effectively and gain valuable insights? This blog presents the topmost useful machine learning applications in finance to help you understand how financial markets thrive by adopting AI and ML solutions.

Finance 52

Finance Machine Learning Project Banking 52

ProjectPro

JANUARY 15, 2021

Undoubtedly, everyone knows that the only best way to learn data science and machine learning is to learn them by doing diverse projects. But yes, there is definitely no other alternative to data science and machine learning projects. Why you need machine learning datasets?

Machine Learning 40

Machine Learning Datasets Retail Banking 40

KDnuggets

DECEMBER 11, 2019

We asked top experts: What were the main developments in AI, Data Science, Deep Learning, and Machine Learning Research in 2019, and what key trends do you expect in 2020?

Machine Learning 45

Machine Learning Deep Learning Data Science Data 45

KDnuggets

JULY 24, 2019

Also: Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS; The Hundred-Page Machine Learning Book Book Review; The Evolution of a ggplot; Notes on Feature Preprocessing: The What, the Why, and the How.

Machine Learning 48

Machine Learning Coding Data Science Python 48

KDnuggets

AUGUST 28, 2019

New KDnuggets poll asks 1) What Data Science/Machine Learning-related skills you currently have, and 2) Which skills you want to add or improve? If you are human, please vote and we will analyze and publish the results.

Data Science 90

Data Science Machine Learning Data 90

KDnuggets

DECEMBER 17, 2019

Also: Your AI skills are worth less than you think; Another 10 Free Must-See Courses for Machine Learning and Data Science.

Technology 60

Technology Machine Learning Data Science Data 60

RandomTrees

SEPTEMBER 10, 2024

AI enhances predictive maintenance in several ways: Data Analysis: In real-time modes, AI processes large volumes of information while detecting any patterns or anomalies that could indicate an impending failure ahead of traditional monitoring systems. AI algorithms can be used to access this data to start its analysis.

Transportation 52

Transportation Manufacturing Machine Learning Algorithm 52

ProjectPro

FEBRUARY 11, 2021

Spoiler Alert: Becoming a machine learning engineer can sound like a hard-to-reach goal but let us tell you the truth – it isn’t as hard as it seems. Image Credit: Makeameme.org So you are considering learning machine learning skills , and you’ve heard that becoming a machine learning engineer is the way to go.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

KDnuggets

AUGUST 5, 2019

Also: GPU Accelerated Data Analytics & Machine Learning; Understanding Tensor Processing Units; Top 13 Skills To Become a Rockstar Data Scientist; Five Command Line Tools for Data Science; Ten more random useful things in R you may not know about.

Data Science 46

Data Science Machine Learning Data Analytics Data 46

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Spoiler alert: it’s not because data scientists will stop relying on open source for the latest innovation in ML algorithms and development environments.

Data Science 50

Data Science Transportation Machine Learning Algorithm 50

Cloudera

FEBRUARY 11, 2019

The January 2019 “Magic Quadrant for Data Management Solutions for Analytics” provides valuable insights into the status, direction, and players in the DMSA market. We recognize the following takeaways from Gartner’s 2019 MQ DMSA: 1. Cloudera’s 3 Key Takeaways.

Data Management 42

Data Management Management Metadata Government 42

KDnuggets

AUGUST 29, 2019

The sample data used for training has to be as close a representation of the real scenario as possible. There are many factors that can bias a sample from the beginning and those reasons differ from each domain (i.e. business, security, medical, education etc.).

Machine Learning 122

Machine Learning Medical Education Data 122

KDnuggets

AUGUST 12, 2019

Also: Deep Learning for NLP: ANNs, RNNs and LSTMs explained!; Machine Learning is Happening Now: A Survey of Organizational Adoption, Implementation, and Investment; 25 Tricks for Pandas; Getting Started with Data Science; Data Science: Scientific Discipline or Business Process?

Machine Learning 50

Machine Learning Data Science Deep Learning IT 50

Christophe Blefari

JANUARY 7, 2023

This year I deeply learned Superset—adding the tools to my tools expertise list. The blog crossed the 2000 members mark (❤️) and I won the best data science newsletter award. I talked in Robin's podcast about the newsletter and my data engineering journey. Data science has a tool obsession.

Data Science 130

Data Science Data BI Kafka 130

Knowledge Hut

NOVEMBER 29, 2023

However, the Transition exam was shut down after 30th June, 2019. There was also an Azure Administrator Certification Transition Exam for people who have passed the 70-533 - Implementing Azure Infrastructure Solutions Exam, but this Transition exam too was retired on June 30, 2019.  This exam has been retired on 30th June, 2019.

Certification 52

Certification Big Data Machine Learning Data Lake 52

Netflix Tech

NOVEMBER 22, 2019

1:45pm-2:45pm NFX 201 More Data Science with less engineering: ML Infrastructure Ville Tuulos , Machine Learning Infrastructure Engineering Manager Abstract : Netflix is known for its unique culture that gives an extraordinary amount of freedom to individual engineers and data scientists.

AWS 40

AWS Entertainment Software Engineer Software Engineering 40

Netflix Tech

NOVEMBER 22, 2019

1:45pm-2:45pm NFX 201 More Data Science with less engineering: ML Infrastructure Ville Tuulos , Machine Learning Infrastructure Engineering Manager Abstract : Netflix is known for its unique culture that gives an extraordinary amount of freedom to individual engineers and data scientists.

AWS 40

AWS Entertainment Software Engineer Software Engineering 40

KDnuggets

SEPTEMBER 12, 2019

There is no such thing as a free lunch in life or data science. Here, we'll explore some science philosophy and discuss the No Free Lunch theorems to find out what they mean for the field of data science.

Data Science 110

Data Science Data Machine Learning 110

DareData

SEPTEMBER 11, 2020

Machine Learning, Data Science and Artificial Intelligence are three terms that have been intertwined and used in multiple conversations during the past decade. Starting small, the company can infer two things: Do I really have a problem that I want to solve with data? Let's find out. The importance of measuring ?

Data Science 52

Data Science Algorithm Data Machine Learning 52

KDnuggets

DECEMBER 31, 2019

With so many buzzwords surrounding AI and machine learning, understanding which can bring business value and which are best left in the lab to mature is difficult.

Data Science 138

Data Science Machine Learning Data 138