Knowledge Hut

DECEMBER 26, 2023

Introduction to Machine Learning with Python: A Guide for Data Scientists By Andreas C. In recent years, with the advent of technology, data has been considered to be a valuable asset in both large-scale and small-scale organizations. Data as a resource requires skilled professionals to be collected, interpreted, and stored safely.

Data Science 52

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Knowledge Hut

MARCH 19, 2024

Machine Learning Software Engineers are at the forefront of this revolution, applying their expertise to develop intelligent systems and algorithms. In this blog, I will describe the role of a Machine Learning Software Engineer, their responsibilities, required skills, and the path to becoming one. Who Is a Machine Learning Software Engineer?

Software Engineer 52

Software Engineer Software Engineering Machine Learning Engineering 52

Data Engineering Podcast

JANUARY 22, 2017

Interview with Matthew Rocklin Introduction How did you get involved in the area of data engineering? For anyone looking to integrate Dask into an existing code base that is already using NumPy or Pandas, what does that process look like? Dask began its life as part of the Blaze project. If so, what are the common reasons?

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Hadoop Python Data Analytics Big Data 100

U-Next

SEPTEMBER 12, 2022

Introduction . If you’re a newbie programmer, you may have questions like, what is the difference between Python and NumPy? Or what is NumPy in Python? One such library is NumPy, the first Python library to provide efficient numerical computations. . Python lists are used to implement scalar and matrix calculations.

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Python Programming Language Finance Data Science 40

Knowledge Hut

DECEMBER 25, 2023

Once you gain expertise in writing Python programs, candidates can start learning advanced-level Python libraries and modules such as Pandas, SciPy, NumPy, Matplotlib, etc. Programming is always at the core of computer science and Information Technology. To learn in-depth about sys.argv command line argument, click here.

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Certification Python Programming Language Computer Science 52

Knowledge Hut

OCTOBER 27, 2023

Data Science has been booming in recent years, and the drive in the field of Artificial Intelligence because of several inventions will only take it to the next level. More opportunities emerge in the market as more industries recognise the power of Data Science. Know more about measures of dispersion.

Data Science 96

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U-Next

SEPTEMBER 5, 2022

Introduction. Python modules such as Pandas, NumPy, SciPy, and others assist you in working with data and extracting important information and insights. We live in a digital era entirely controlled by sequences of code. We have various programming languages that help in software development. Highly Scalable.

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U-Next

AUGUST 18, 2022

Introduction: Data Science Projects for Beginners. Scikit-learn and Pandas are all suitable Python programmes for false news detection applications, and the dataset may be News.csv. Scikit-learn and Pandas are all suitable Python programmes for false news detection applications, and the dataset may be News.csv.

Data Science 52

Data Science Project Portfolio Datasets 52

U-Next

AUGUST 17, 2022

Introduction: Data Science Projects for Beginners. Scikit-learn and Pandas are all suitable Python programmes for false news detection applications, and the dataset may be News.csv. Scikit-learn and Pandas are all suitable Python programmes for false news detection applications, and the dataset may be News.csv.

Data Science 52

Data Science Project Portfolio Datasets 52

ProjectPro

JULY 10, 2021

Time series analysis and forecasting is a dark horse in the domain of Data Science. Time series is among the most applied Data Science techniques in various industrial and business operations, such as financial analysis , production planning, supply chain management, and many more. Machine learning for time series is often a neglected topic.

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Knowledge Hut

NOVEMBER 27, 2023

While the time limit to complete the learning path to become a data scientist can expect 8-9 months to get through all Data Science courses. It is known that people from diverse backgrounds with zero experience turn out to be good data scientists in just a year through learning smart coding. What is Data Science?

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Data Science Healthcare Machine Learning Telecommunication 97

U-Next

DECEMBER 2, 2022

Introduction . Data Science is a branch of Computer Science that deals with extracting knowledge from data. Machine Learning is teaching computers to learn from data without being explicitly programmed. Python is essential for Data Science And Machine Learning for various reasons that you’ll find out here. .

Machine Learning 40

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ProjectPro

JUNE 26, 2021

Leverage machine learning libraries in Python like Pandas, Numpy, Keras, PyTorch, TensorFlow to apply Deep learning and Natural Language Processing on huge amounts of data. Most of us won’t be surprised to find that out of these sixteen, at least seven of them are related to Artificial Intelligence and Data Science.

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ProjectPro

APRIL 14, 2021

We decided to write this content piece because, in the past few months, many aspiring data science professionals asked our project advisors these questions on getting started with a data science career - “I want to learn data science but I don’t know where to start.” ” “What is the best way to learn data science?

Data Science 40

Data Science Portfolio Machine Learning Python 40

Cloudera

MAY 19, 2021

Introduction. For more information see: < [link] > The RAPIDS libraries are designed as drop-in replacements for common Python data science libraries like pandas (cuDF), numpy (cuPy), sklearn (cuML) and dask (dask_cuda). What is RAPIDS. To see more information on the winning submission See: [link] 1. Project Setup.

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Machine Learning Datasets Data Science Raw Data 138

U-Next

AUGUST 25, 2022

Introduction. Due to their easy language and greater matrix calculation capabilities, NumPy and Pandas have established themselves as important tools for any science computing in Python, including machine learning. What Are Pandas? What Are Pandas? Pandas entered the scene and improved data analysis abilities.

Deep Learning 40

Deep Learning Python Programming Language Data Science 40

Data Engineering Podcast

JULY 31, 2022

Summary Exploratory data analysis works best when the feedback loop is fast and iterative. This is easy to achieve when you are working on small datasets, but as they scale up beyond what can fit on a single machine those short iterations quickly become long and tedious. And don’t forget to thank them for their continued support of this show!

Data Analysis 100

Data Analysis MongoDB Scala Algorithm 100

Tweag

APRIL 3, 2023

For a software team to be successful, you need excellent communication. That is why we want to build systems that foster cross-team communication. Using a monorepo is an excellent way to do that. A monorepo provides: Visibility: by seeing the pull requests (PRs) of colleagues, you are easily informed of what other teams are doing.

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Python Coding Project Data Science 98

Data Engineering Podcast

SEPTEMBER 24, 2021

That has brought with it a number of challenges having to do with the speed and scalability of working with large volumes of information.There have been many projects and strategies for overcoming these challenges, each with their own set of tradeoffs. And don’t forget to thank them for their continued support of this show!

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Data Process Python Process Data Lake 100

ProjectPro

AUGUST 9, 2021

It is loved by all data enthusiasts and provides an easy introduction to data science and machine learning. Following is a non-exhaustive list of libraries available to use in Python for Data Science - seaborn, matplotlib , sci-kit learn, NumPy , SciPy , requests, pandas , regex etc.

Data Science 52

Data Science Python Project Datasets 52

Data Engineering Podcast

FEBRUARY 13, 2022

Summary Streaming data sources are becoming more widely available as tools to handle their storage and distribution mature. However it is still a challenge to analyze this data as it arrives, while supporting integration with static data in a unified syntax. And don’t forget to thank them for their continued support of this show!

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Coding Engineering Data Pipeline Java 100

DareData

DECEMBER 16, 2023

In this blog post, we’re going to continue with the PyTorch introduction series by checking how we can develop a simple linear regression using the torch library. In my last blog post, we’ve learned how to work with PyTorch tensors , the most important object in the PyTorch library. Let’s start! of the song Song loudness Song tempo.

Building 52

Building Deep Learning Datasets Coding 52

Edureka

JANUARY 18, 2024

Table of Contents Introduction to Data Science What is Data Science? 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. What is Data Science?

Data Science 40

Data Science Deep Learning NoSQL Machine Learning 40

ProjectPro

JANUARY 20, 2022

Davenport, Analytics thought leader. In recent years, AI and Machine Learning have transformed the world, making it smarter and faster. These two sectors have spurred technological advancements and a rising career path. This makes artificial intelligence and machine learning jobs among the hottest in the world today!! So, let’s get started!

Machine Learning 52

Machine Learning Deep Learning Algorithm Programming Language 52

ProjectPro

AUGUST 2, 2021

.” Ignoring the poetic value, if just for a moment, the facts have since been established to prove this statement's literal meaning. Humans, the truly visual beings we are, respond to and process visual data better than any other data type. The human brain is said to process images 60,000 times faster than text.

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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

Lyft Engineering

APRIL 21, 2023

Building a large scale unsupervised model anomaly detection system — Part 1 Distributed Profiling of Model Inference Logs By Anindya Saha , Han Wang , Rajeev Prabhakar Introduction LyftLearn is Lyft’s ML Platform. In a previous blog post , we explored the architecture and challenges of the platform. This article is divided into two parts.

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