Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. This blog post hopes to provide this foundational understanding. What is Machine Learning.

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ProjectPro

NOVEMBER 25, 2021

To mitigate this challenge, organizations are now leveraging natural language processing and machine learning techniques to extract meaningful insights from unstructured text data. Read this blog to learn about text classification, one of the core topics of natural language processing.

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Knowledge Hut

JANUARY 18, 2024

In this article, I'll walk you through the fundamentals of Naive Bayes, a robust machine learning algorithm. Join me as we navigate the key aspects of Naive Bayes in the professional field of machine learning. What is Conditional Probability? What is Naïve Bayes?

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Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

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U-Next

AUGUST 8, 2022

Before heading out for a Machine Learning interview, find time to go through this quick recap blog on the fundamentals of Machine Learning. Introduction to Machine Learning Interview Questions. Data Science and Machine Learning are two of the most widely used technologies around the globe nowadays.

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ProjectPro

NOVEMBER 11, 2022

To know more about how Spotify uses AI and how Spotify uses machine learning to personalize the user experience , continue reading this article till the end. Spotify uses machine learning models to enhance the recommendation-making process for all its users. How Spotify uses Machine Learning?

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Knowledge Hut

OCTOBER 26, 2023

In the world of machine learning, where data-driven solutions have the power to transform industries and empower individuals, if you're new to this exciting field and eager to embark on your machine-learning journey, you're in the right place. What is Machine Learning, and why are ML projects interesting?

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ProjectPro

FEBRUARY 9, 2023

In the world of ChatGPT and Google BARD, where models and algorithms are constantly evolving for attention and success, there exist quiet yet powerful methods for prediction - probabilistic models in machine learning. Probabilistic models form the backbone of various models in Machine Learning.

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ProjectPro

FEBRUARY 9, 2023

In the world of ChatGPT and Google BARD, where models and algorithms are constantly evolving for attention and success, there exist quiet yet powerful methods for prediction - probabilistic models in machine learning. Probabilistic models form the backbone of various models in Machine Learning.

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ProjectPro

FEBRUARY 17, 2022

What are these feature selection methods, and how are they used in building efficient predictive models? Similarly, in Machine learning, selecting the correct number of features for fitting a predictive model to a given dataset is essential. Feature Selection Algorithms How to do Feature Selection?

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Knowledge Hut

JULY 28, 2023

These labels provide context and meaning to the data, enabling machine learning algorithms to learn and make predictions. If you are new to this domain and wanted to learn how to label data for machine learning problems, then you’ve landed on the right page. How Does Data Labeling Work?

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Pinterest Engineering

SEPTEMBER 20, 2023

Machine Learning Engineer; Rohan Mahadev | Machine Learning Engineer II; Sujay Khandagale | Machine Learning Engineer II; Abhay Varmaraja | Machine Learning Engineer II Pinterest’s mission as a company is to bring everyone the inspiration to create a life they love. Pedro Silva | Sr.

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Edureka

NOVEMBER 28, 2023

OpenCV(open source computer vision library) is an open source computer vision and machine learning software library. OpenCV was build to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. How To Install OpenCV?

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ProjectPro

SEPTEMBER 29, 2021

The term artificial intelligence is always synonymously used Awith complex terms like Machine learning, Natural Language Processing, and Deep Learning that are intricately woven with each other. One of the trending debates is that of the differences between natural language processing and machine learning.

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Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

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ProjectPro

OCTOBER 18, 2021

Machine Learning Projects are the key to understanding the real-world implementation of machine learning algorithms in the industry. It is because these apps render machine learning models that try to understand the customer's taste.

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ProjectPro

SEPTEMBER 29, 2021

Probability and Statistics are two intertwined topics that smoothen one’s path to becoming a Machine Learning pro. In this blog, you will find a detailed description of all you need to learn about probability and statistics for machine learning. How to become good at Statistics for Machine Learning?

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LinkedIn Engineering

MARCH 21, 2023

One of the most exciting parts of our work is that we get to play a part in helping progress a skills-first labor market through our team’s ongoing engineering work in building our Skills Graph. Let’s look at “machine learning” for example. abbreviations like “ML” or language translations), skill type (e.g.

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ProjectPro

OCTOBER 28, 2021

In this blog, we have mentioned all the topics that are considered as prerequisites for learning machine learning. We have covered all the subjects and the best resources that will help you learn them thoroughly. Machine learning is no exception to that. Why should you learn Machine learning?

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Edureka

MAY 6, 2024

In today’s data-driven world, machine learning models play a huge role in developing sectors like healthcare, finance, transport, e-commerce, and so on. However, building and deploying these models is just the beginning. This is where MLOps (Machine Learning Operations) comes into play. Why do we need MLOPS?

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ProjectPro

AUGUST 13, 2021

If you are a beginner searching for Machine Learning GitHub Projects, you are on the right page. Below you will find a list of Machine Learning projects on Github that are beginner-friendly and popular among Data Science enthusiasts. Building a ChatBot 3. Building a ChatBot 3. Predictive Analytics 2.

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Snowflake

APRIL 20, 2023

Snowflake users are already taking advantage of LLMs to build really cool apps with integrations to web-hosted LLM APIs using external functions , and using Streamlit as an interactive front end for LLM-powered apps such as AI plagiarism detection , AI assistant , and MathGPT. Join us in Vegas at our Summit to learn more.

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U-Next

DECEMBER 2, 2022

Data science is a field of study that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining. R is a powerful data analysis tool with many built-in statistical and machine-learning functions.

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Data Engineering Podcast

DECEMBER 7, 2020

Summary Building data products are complicated by the fact that there are so many different stakeholders with competing goals and priorities. When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode.

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Knowledge Hut

NOVEMBER 27, 2023

In fact, you reading this blog is also being recorded as an instance of data in some digital storage. Data Science is a field that uses scientific methods, algorithms, and processes to extract useful insights and knowledge from noisy data. Scikit-Learn is one of the most important Python libraries for building Machine Learning models.

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Cloudera

FEBRUARY 8, 2021

Continuing from my previous blog post about how awesome and easy it is to develop web-based applications backed by Cloudera Operational Database (COD), I started a small project to integrate COD with another CDP cloud experience, Cloudera Machine Learning (CML). . Build the application. Set your CDP workload password.

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Knowledge Hut

MAY 9, 2024

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. Data Scientist A data scientist is a professional who uses scientific methods, algorithms, and systems to extract insights from data. What is Data Science?

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Knowledge Hut

OCTOBER 29, 2023

From machine learning algorithms to data mining techniques, these ideas are sure to challenge and engage you. This is because the coursework is updated frequently, and there are always new things to learn. Till then, pick a topic from this blog and get started on your next great computer science project.

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Knowledge Hut

FEBRUARY 29, 2024

Database design basics with example: blog.devart.com SQL learning: w3schools.com Start Machine Learning Machine learning is a part of artificial intelligence that concentrate on the utilization of data knowledge and algorithms to follow methods that human learns and moderately improves its accuracy.

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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.

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Data Engineering Weekly

MAY 12, 2024

[link] Gradient Flow: Learning from the Past - Comparing the Hype Cycles of Big Data and GenAI The blogs compare the hype cycle of Big Data with Gen AI. The blog narrates the initial hype of Big Data, followed by talent shortages and lead time to build production applications.

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U-Next

MARCH 1, 2023

You can find many Artificial Intelligence applications in this blog that you can use as project ideas for your academic assignments or personal growth. These bots employ AI algorithms to comprehend customer questions about credit cards, accounts, and loans. You must create an algorithm to ascertain how many units are sold every day.

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Scott Logic

APRIL 22, 2024

In particular, with SageMaker Canvas, it’s possible to create a machine learning model entirely graphically. You can select which algorithm(s) to use to train the model; but then all you need to do is wait. You can build side-by-side visualisations for the state of your business and ML predictions for future trends.

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Cloudera

SEPTEMBER 13, 2018

Machine learning. It’s a bit surprising to note, then, that perhaps the most limiting factor in data science and machine learning today is people. This is where the promises of machine learning come in. Feature Labs uses the Deep Feature Synthesis (DFS) algorithm to automatically build features.

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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?

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Cloudera

MAY 27, 2021

This blog post was written by Pedro Pereira as a guest author for Cloudera. . It’s important to be conscious of this reality when creating algorithms and training models. Big data algorithms are smart, but not smart enough to solve inherently human problems. It’s not the machine’s fault. Transparency is key.

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Knowledge Hut

DECEMBER 22, 2023

This blog offers a comprehensive explanation of the data skills you must acquire, the top data science online courses , career paths in data science, and how to create a portfolio to become a data scientist. Learn techniques for exploratory data analysis (EDA) and feature engineering.

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