ProjectPro

JULY 19, 2021

With the advent of use cases like autonomous driving and gesture recognition Computer Vision is becoming increasingly popular. Having decided to delve into the world of AI and Machine Learning, you've chosen to move on the learning path of becoming a computer vision engineer.

Engineering 40

Engineering Deep Learning Algorithm Machine Learning 40

ProjectPro

FEBRUARY 19, 2021

Regression analysis is the favorite of data science and machine learning practitioners as it provides a great level of flexibility and reliability making it an ideal choice for analyzing different situations like - Do educational degrees and IQ affect salary? Is consuming caffeine and smoking-related to mortality risk?

Machine Learning 40

Machine Learning Datasets Algorithm Data Science 40

Knowledge Hut

DECEMBER 26, 2023

Owing to its simple syntax and ease of use, Python for Data Science is the go-to option for both freshers and working professionals. Python also finds its use in academic research and building statistical models adding to its versatility. This can be used to create any kind of graph and plot.

Data Science 92

Data Science Python Programming Language Portfolio 92

ProjectPro

MARCH 7, 2016

In this constantly changing world of big data tools and technologies, project managers and hiring managers often do not know what to look for in a particular candidate, while hiring for big data job roles. Learn Hadoop to become a Microsoft Certified Big Data Engineer. that organizations urgently need.

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

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

Knowledge Hut

JANUARY 31, 2024

Using a company's resources most effectively and productively is one of the most important aspects of good business management. Through this article, we'll learn about what is management, the management meaning, its functions, and its objectives. This helps to guarantee that the organization is both efficient and effective.

Management 98

Management Recruitment Manufacturing Certification 98

Knowledge Hut

FEBRUARY 7, 2023

Once upon a time, Data Science was something that was restricted only to the tech giants, but in this fast-growing world, it is slowly becoming an integral part of businesses as big companies start to integrate these techniques into their business models. Typically, data science projects involve using an abundance of ls (eg.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

ProjectPro

APRIL 6, 2021

Machines learning algorithms on the other hand, while classifying images face these challenges, and Image Classification becomes an exciting problem for us to solve. We have come so far that image classification models have surpassed the human baseline on several datasets. A lot of time passed after that.

Deep Learning 40

Deep Learning Python Medical Datasets 40

ProjectPro

AUGUST 2, 2021

Therefore, the domain of image processing, which deals with enhancing images and extracting useful information from them, has been growing exponentially since its inception. Therefore, the hands-on experience working on image processing projects can be an invaluable skill. What can be done with image processing? Microsoft OCR).

Coding 40

Coding Python Process Project 40

ProjectPro

DECEMBER 28, 2021

Whether you're working with semi-structured, structured, streaming, or machine learning data, Apache Spark is a fast, easy-to-use framework that allows you to solve various complex data issues. Some models can learn and score continuously while streaming data is collected. billion by 2030.

Architecture 52

Architecture Kafka Java Scala 52

ProjectPro

JANUARY 31, 2022

With around 5774 companies using it, Snowflake has recently been added to the top 20 most valued worldwide unicorns and the top 10 most expensive US unicorns. A data warehouse can store vast amounts of data from numerous sources in a single location, run queries and perform analyses to help businesses optimize their operations.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

JUNE 24, 2021

More and more industries are now realising the importance of making use of data analytics and using the data available to them for their benefit. Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ? This number grew to 67.9%

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

AUGUST 11, 2016

When people talk about big data analytics and Hadoop, they think about using technologies like Pig, Hive , and Impala as the core tools for data analysis. R and Hadoop combined together prove to be an incomparable data crunching tool for some serious big data analytics for business. Table of Contents Why use R on Hadoop?

Hadoop 40

Hadoop Big Data R (Programming) Programming Language 40

ProjectPro

DECEMBER 10, 2021

Where can I find Azure projects/project ideas to enhance my skills? What are the various models available for cloud deployment? The fact that more than half of Fortune 500 companies use Azure for cloud computing services indicates that the demand for Microsoft Azure specialists is on the rise.

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

NOVEMBER 22, 2021

Currently, there are over 32k+ big data jobs in the US, and the number is expected to keep growing with time. It's easier to use Python's expressiveness to modify data in tabular format, thanks to PySpark's DataFrame API architecture. Furthermore, PySpark aids us in working with RDDs in the Python programming language.

Hadoop 52

Hadoop Python Datasets Metadata 52

AltexSoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. Also, we’ll introduce you to the popular Big Data analytics tools and existing use cases.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JANUARY 31, 2023

Almost every company employs data models and big data technologies to improve its techniques and marketing campaigns. Most leading companies use big data analytical tools to enhance business decisions and increase revenues. Get ready to expand your knowledge and take your big data career to the next level! .”

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JULY 27, 2021

In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry. Preparing for data engineer interviews makes even the bravest of us anxious. that leverage big data analytics and tools.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

ProjectPro

NOVEMBER 30, 2021

When working on real-time business problems, data scientists build models using various Machine Learning or Deep Learning algorithms. But before diving into making the models, the foremost and most significant thing is to acquire the correct and meaningful data to get insights from it.

Process 52

Process Data Pipeline Data Warehouse AWS 52

ProjectPro

JULY 30, 2021

As an aspiring machine learning professional, a portfolio is the most important asset to have in your job search. But what if you don’t have a machine learning portfolio because you are going to need diverse skills and projects under your belt to land a top machine learning gig.

Machine Learning 40

Machine Learning Project Deep Learning Banking 40

ProjectPro

AUGUST 21, 2015

Speed Writes are Fast Reads are Fast Master Big Data with Real-World Hadoop Projects 2. using big data analytics to boost their revenue. using big data analytics to boost their revenue. Name some companies that use Hadoop. Best suited for OLTP and complex ACID transactions. What do the four V’s of Big Data denote?

Hadoop 40

Hadoop Big Data Metadata Java 40

AltexSoft

DECEMBER 15, 2021

Machine learning evangelizes the idea of automation. Citing Microsoft’s principal researcher Rich Caruana, ‘75 percent of machine learning is preparing to do machine learning… and 15 percent is what you do afterwards.’ This leaves only 10 percent of the entire flow automated by ML models.

Machine Learning 59

Machine Learning Deep Learning Algorithm Telecommunication 59