AltexSoft

MAY 27, 2022

A large hospital group partnered with Intel, the world’s leading chipmaker, and Cloudera, a Big Data platform built on Apache Hadoop , to create AI mechanisms predicting a discharge date at the time of admission. The built-in algorithm learns from every case, enhancing its results over time. Data preparation for LOS prediction.

Hospitality 98

Hospitality Medical Healthcare Algorithm 98

ProjectPro

JANUARY 19, 2022

Good knowledge of various machine learning and deep learning algorithms will be a bonus. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Thus, having worked on projects that use tools like Apache Spark, Apache Hadoop, Apache Hive, etc.,

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JANUARY 19, 2024

In data science, we use various tools, processes, and algorithms to extract insights from structured and unstructured data. By delving into the realm of data science, you're not just learning skills; you're gaining a passport to a world of opportunities. Data Manipulation Techniques to organize and present data meaningfully.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Edureka

AUGUST 2, 2023

Python is the best language for managing massive datasets and effectively performing complex algorithms because of its syntax and variety of packages. It can be used for web scraping, machine learning, and natural language processing. TensorFlow is especially popular in the field of deep learning.

Programming Language 52

Programming Language Programming Scala Pharmaceutical 52

LinkedIn Engineering

MARCH 21, 2023

Our taxonomy includes machine learning (skill concept), the skill ID (a number assigned to each skill), aliases (e.g. soft or hard skill), descriptions of the skill (“the study of computer algorithms…”), and more. reinforcement learning” is a child skill of “machine learning”), which we’ll discuss more below.

Building 85

Building Recruitment Machine Learning Deep Learning 85

Knowledge Hut

DECEMBER 26, 2023

Offer a Wide Range of Specializations: Students are free to select from a wide variety of specializations, from traditional fields (such as languages, finance, accounting, mathematics, and economics) to contemporary fields (Machine Learning, Deep Learning, Cybersecurity, Cloud Computing, etc.)

Certification 95

Certification Java Google Cloud Education 95

Knowledge Hut

NOVEMBER 2, 2023

Learn how to aggregate real-time data using several big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop. Aptitude for learning new big data techniques and technologies. Ability to develop efficient workflows using well-known big data tools like Apache Hadoop, Apache Spark, etc.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

U-Next

AUGUST 8, 2022

Function: Using a variety of tools, approaches, methodologies, algorithms, etc., Specialists in Data Science also are required to have expertise in statistical modelling, deep learning, and scripting, as well as knowledge of platforms like Hadoop, Sparks, and NoSQL. A degree in Data Science helps you excel in the job.

Data Science 52

Data Science Computer Science Deep Learning Java 52

ProjectPro

SEPTEMBER 29, 2021

1) Predicting Sales of BigMart Stores 2) Insurance Claims Severity Prediction Learning Probability and Statistics for Machine Learning Whenever we work on a project that uses a machine-learning algorithm, there are two significant steps involved. The last few chapters are related to methods of hypothesis testing.

Machine Learning 52

Machine Learning Insurance Algorithm Datasets 52

ProjectPro

DECEMBER 21, 2021

Machine learning, unlike other fields, has a global reach when it comes to job opportunities. The machine learning career path is perfect for you if you are curious about data, automation, and algorithms, as your days will be crammed with analyzing, implementing, and automating large amounts of knowledge.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Knowledge Hut

JANUARY 22, 2024

Picture yourself at the intersection of statistics and algorithms, where every line of code has the potential to unlock profound insights and reshape industries. Course Specializations Data science courses offer various specializations that allow students to focus their learning on specific areas of interest.

Data Science 52

Data Science Certification Education Data Lake 52

ProjectPro

NOVEMBER 24, 2021

Knowledge of machine learning algorithms and deep learning algorithms. Experience with Big data tools like Hadoop, Spark, etc. It is easier to learn data science if you have a master’s degree in statistics. What are the requirements to learn machine learning ?

Data Science 52

Data Science Consulting Machine Learning Software Engineer 52

Knowledge Hut

JUNE 20, 2023

A machine learning engineer should know deep learning, scaling on the cloud, working with APIs, etc. Construct prototypes and algorithms Combine raw data from many sources. Microsoft regularly improves and enhances its machine learning tools. Clean data are necessary for data science and machine learning.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

JULY 12, 2021

Companies are actively seeking talent in these areas, and there is a huge market for individuals who can manipulate data, work with large databases and build machine learning algorithms. Artificial intelligence engineers are problem solvers who navigate between machine learning algorithmic implementations and software development.

Engineering 40

Engineering Deep Learning Software Engineer Software Engineering 40

ProjectPro

APRIL 17, 2015

This articles explores four latest trends in big data analytics that are driving implementation of cutting edge technologies like Hadoop and NoSQL. Let’s hope for some innovative hit in deep learning to real time business situations by end of 2015.

Big Data 52

Big Data Data Analysis NoSQL Deep Learning 52

ProjectPro

JUNE 9, 2021

For example, companies can leverage data-driven business insights to predict customer behavior using algorithms and techniques and enhance overall customer experiences. Machine learning skills. Data mining and data management skills are essential for a data engineer.nd data management skills are essential for a data engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JUNE 18, 2021

Java is also used by many big companies including Uber and Airbnb to process their backend algorithms. However, frameworks like Apache Spark, Kafka, Hadoop, Hive, Cassandra, and Flink all run on the JVM (Java Virtual Machine) and are very important in the field of Big Data. It is built on Apache Hadoop MapReduce.

Java 52

Java Data Science Python Programming Language 52

Knowledge Hut

FEBRUARY 27, 2023

Machine learning is a relatively recent domain of technology that focuses on teaching machines to learn from acquired data rather than explicitly programming it to do so. Applications based on machine learning enhance performance and generate more accurate results compared to their human counterparts.

Machine Learning 52

Machine Learning Software Engineer Software Engineering Education 52

Data Engineering Podcast

FEBRUARY 24, 2019

Summary Deep learning is the latest class of technology that is gaining widespread interest. Can you start by giving an overview of what deep learning is for anyone who isn’t familiar with it? What has been your personal experience with deep learning and what set you down that path?

Deep Learning 100

Deep Learning Data Engineering Data Engineer Engineering 100

Knowledge Hut

DECEMBER 22, 2023

Data analytics, data mining, artificial intelligence, machine learning, deep learning, and other related matters are all included under the collective term "data science" When it comes to data science, it is one of the industries with the fastest growth in terms of income potential and career opportunities.

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Knowledge Hut

JANUARY 16, 2024

What Is Machine Learning? Machine learning, in simple terms, is an offshoot of artificial intelligence. It is the realm where algorithms self-educate themselves to predict outcomes by uncovering data patterns. It has no manual coding; it is all about smart algorithms doing the heavy lifting.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

Knowledge Hut

APRIL 20, 2023

Cloud tool understanding in Apache Spark, AWS , Hadoop , Google Cloud, Microsoft Aure, etc. Cybersecurity vs Data Science: Career Data science vs cybersecurity careers, well, both provide good employment options.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

Knowledge Hut

DECEMBER 26, 2023

Business Intelligence tools, therefore cannot process this vast spectrum of data alone, hence we need advanced algorithms and analytical tools to gather insights from these data. Data Modeling using multiple algorithms. What is the difference between Supervised and Unsupervised Learning? What is Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

Knowledge Hut

MAY 3, 2024

Spark installations can be done on any platform but its framework is similar to Hadoop and hence having knowledge of HDFS and YARN is highly recommended. Spark standalone node cluster can be installed on the same nodes and configure Spark and Hadoop memory and CPU usage accordingly to avoid any interference. Basic knowledge of SQL.

Scala 98

Scala Hadoop Healthcare Big Data 98

Databand.ai

DECEMBER 13, 2022

Currently, Charles works at PitchBook Data and he holds degrees in Algorithms, Network, Computer Architecture, and Python Programming from Bradfield School of Computer Science and Bellevue College Continuing Education. On LinkedIn, he focuses largely on Spark, Hadoop, big data, big data engineering, and data engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

ProjectPro

JULY 23, 2021

Ace your Big Data engineer interview by working on unique end-to-end solved Big Data Projects using Hadoop. You can use AWS cloud with nearest neighbor algorithms to work on this project. It includes built-in algorithms that do not need label data. For this project, use Amazon SageMaker. For this project, use Amazon SageMaker.

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

ProjectPro

JULY 28, 2021

Data analytics combined with machine learning algorithms and Artificial Intelligence (AI) technologies predict the data patterns and trends in these applications, and there is no surprise that Google has mastered it. What are the essential qualities and features of an algorithm? Can you explain the Hadoop architecture?

Recruitment 40

Recruitment Data Science Machine Learning NoSQL 40

Knowledge Hut

DECEMBER 26, 2023

Probability distribution and statistics Frameworks and algorithms Deep Learning and neural networks An AI architect in the US makes a yearly salary of US$125,377 on average. A top AI technology framework can be used to provide answers to challenges in the real world by an artificial intelligence architect.

Banking 52

Banking Insurance Finance Cloud Computing 52

Knowledge Hut

SEPTEMBER 6, 2023

To obtain a data science certification, candidates typically need to complete a series of courses or modules covering topics like programming, statistics, data manipulation, machine learning algorithms, and data analysis. All the data science algorithms and concepts find their implementation in either Python or R.

Data Science 97

Data Science Certification Business Analyst Machine Learning 97

Knowledge Hut

MAY 23, 2024

It is much faster than other analytic workload tools like Hadoop. Apart from data analysis, it can also help in machine learning projects. It caters to various built-in Machine Learning APIs that allow machine learning engineers and data scientists to create predictive models. The entire language runs on RStudio.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Edureka

JANUARY 18, 2024

This guide provides a comprehensive understanding of the essential skills and knowledge required to become a successful data scientist, covering data manipulation, programming, mathematics, big data, deep learning, and machine learning technologies. Table of Contents Introduction to Data Science What is Data Science?

Data Science 40

Data Science Deep Learning Machine Learning NoSQL 40

ProjectPro

JANUARY 2, 2018

News on Hadoop - December 2017 Apache Impala gets top-level status as open source Hadoop tool.TechTarget.com, December 1, 2017. Apache Impala puts special emphasis on high concurrency and low latency , features which have been at times eluded from Hadoop-style applications. Source : [link] ) Hadoop 3.0

Hadoop 52

Hadoop Big Data Machine Learning Datasets 52

Data Engineering Weekly

DECEMBER 24, 2023

[link] Meta: AI debugging at Meta with HawkEye Meta writes about HawkEye, a toolkit for monitoring and debugging machine learning workflows, enhancing the efficiency of resolving production issues. It features advanced algorithms for isolating model-related problems, diagnosing prediction anomalies, and identifying training data issues.

Data Engineering 62

Data Engineering Data Engineer Engineering Deep Learning 62

LinkedIn Engineering

DECEMBER 20, 2023

By leveraging cutting-edge technologies, machine learning algorithms, and a dedicated team, we remain committed to ensuring a secure and trustworthy space for professionals to connect, share insights, and foster their career journeys. These algorithms consider the diversity and context of signals to make informed decisions.

Building 91

Building Algorithm Kafka Machine Learning 91

ProjectPro

SEPTEMBER 26, 2021

Machine Learning: Big Data, Machine Learning, and Artificial Intelligence often go hand-in-hand. Data Scientists use ML algorithms to make predictions on the data sets. Basic knowledge of ML technologies and algorithms will enable you to collaborate with the engineering teams and the Data Scientists.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

JANUARY 18, 2024

It is an interdisciplinary science with multiple approaches, and advancements in Machine Learning and deep learning are creating a paradigm shift in many sectors of the IT industry across the globe. Strong A I is made of two components which are Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI).

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

ProjectPro

MARCH 17, 2014

Big data and hadoop are catch-phrases these days in the tech media for describing the storage and processing of huge amounts of data. Over the years, big data has been defined in various ways and there is lots of confusion surrounding the terms big data and hadoop. Big Deal Companies are striking with Big Data Analytics What is Hadoop?

Hadoop 52

Hadoop Big Data Unstructured Data Retail 52