Analytics Vidhya

SEPTEMBER 29, 2021

This article was published as a part of the Data Science Blogathon In this blog, we’ll go over everything you need to know about Logistic Regression to get started and build a model in Python. The post Guide for building an End-to-End Logistic Regression Model appeared first on Analytics Vidhya.

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Modeling Machine Learning Data Science Publishing 312

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? What is machine learning?

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

Data Science 101

MARCH 6, 2020

The first course in the Mastering Azure Machine Learning series has launched. It focuses on building your first model with Azure Machine Learning. This is a great place to start if you are brand new to Azure Machine Learning. In particular, you will learn the following. Sign up for the Course.

Machine Learning 128

Machine Learning Modeling Data Science IT 128

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

Domino Data Lab

AUGUST 6, 2021

In the world of machine learning (ML) and artificial intelligence (AI), governance is a lifelong pursuit. All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards.

Machine Learning 145

Machine Learning Modeling Testing Risk 145

Rocket-Powered Data Science

JULY 30, 2018

Machine Learning is (or should be) a core component of any marketing program now, especially in digital marketing campaigns. To illustrate and to motivate these emerging and growing developments in marketing, we list here some of the top Machine Learning trends that we see: Hyper-personalization (SegOne context-driven marketing).

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Machine Learning Marketing Behavioral Analytics IoT 199

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

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.

Machine Learning 92

Machine Learning Sales Data Science Modeling 92

Cloudera

NOVEMBER 1, 2023

And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database. Utilizing Pinecone for vector data storage over an in-house open-source vector store can be a prudent choice for organizations.

Machine Learning 105

Machine Learning Optimization Modeling Interactive 105

Cloudera

JANUARY 20, 2021

to make a classification model based off of training data stored in both Cloudera’s Operational Database (powered by Apache HBase) and Apache HDFS. Afterwards, this model is then scored and served through a simple Web Application. Machine learning is now being used to solve many real-time problems.

Machine Learning 111

Machine Learning Modeling Data Science Big Data 111

Cloudera

JANUARY 6, 2021

Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. Apache HBase is an effective data storage system for many workflows but accessing this data specifically through Python can be a struggle.

Machine Learning 131

Machine Learning Data Science Management Enterprise 131

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

Analytics Vidhya

FEBRUARY 6, 2023

Introduction The demand for data to feed machine learning models, data science research, and time-sensitive insights is higher than ever thus, processing the data becomes complex. To make these processes efficient, data pipelines are necessary.

Machine Learning 239

Machine Learning Data Science Modeling Analytics 239

Cloudera

OCTOBER 14, 2020

Not many other industries have such a sophisticated business model that encompasses a culture of streamlined supply chains, predictive maintenance, and unwavering customer satisfaction. Step 1: Using the training data to create a model/classifier. Fig 2: Diagram showing how CML is used to build ML training models.

Machine Learning 97

Machine Learning Modeling Cost-Benefit Testing 97

Cloudera

APRIL 9, 2021

This is part 4 in this blog series. This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Data Science 101

JANUARY 22, 2020

Microsoft has updated the Data Science Certification exam. Those blog posts were for the old exam which focused on the legacy Azure Machine Learning Studio interface and general data science knowledge. The Microsoft Data Science Certification exam DP 100 has been updated.

Data Science 115

Data Science Machine Learning Modeling Optimization 115

Data Science 101

NOVEMBER 29, 2019

Luckily, Amazon has come through with a flurry of machine learning announcements. Sign Up for the Cloud Data Science Newsletter. Amazon Athena and Aurora add support for ML in SQL Queries You can now invoke Machine Learning models right from your SQL Queries. We will have to wait and see.

Data Science 115

Data Science Deep Learning Machine Learning Modeling 115

Cloudera

APRIL 10, 2021

When working on complex, or rigorous enterprise machine learning projects, Data Scientists and Machine Learning Engineers experience various degrees of processing lag training models at scale. CPUs and GPUs can be used in tandem for data engineering and data science workloads.

Machine Learning 61

Machine Learning Modeling Cost-Benefit Data Science 61

Domino Data Lab

MAY 15, 2019

This Domino Data Science Field Note covers Pete Skomoroch ’s recent Strata London talk. It focuses on his ML product management insights and lessons learned. Machine Learning Projects are Hard: Shifting from a Deterministic Process to a Probabilistic One. Product Management for Machine Learning.

Machine Learning 111

Machine Learning Management Experimentation Uncertainty 111

IBM Big Data Hub

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Machine Learning 67

Machine Learning Optimization Unstructured Data Sales 67

Cloudera

JULY 27, 2021

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. We believe the best way to learn what a technology is capable of is to build things with it.

Data Science 112

Data Science Enterprise Experimentation Machine Learning 112

datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

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Data Science Statistics Business Intelligence Visualization 214

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029. Many stock market transactions use ML.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

Cloudera

JANUARY 30, 2019

It’s official – Cloudera and Hortonworks have merged , and today I’m excited to announce the availability of Cloudera Data Science Workbench (CDSW) for Hortonworks Data Platform (HDP). Trusted by large data science teams across hundreds of enterprises —. What is CDSW?

Data Science 71

Data Science Machine Learning Experimentation Cost-Benefit 71

IBM Big Data Hub

FEBRUARY 10, 2022

As someone who is passionate about data science, I know from firsthand that our model is only as good as the data we feed it. On that note, one thing I’ve learnt from working on this project is that we need better data sets that can help us train the machine learning (ML) models that underpin these systems.

Machine Learning 54

Machine Learning Modeling Data Science Consulting 54

Analytics Vidhya

MAY 7, 2024

Introduction Have you heard of Llama 3, the open-source powerhouse in large language models? This blog will guide you through using Llama […] The post Instantly Access Llama 3 on Groq With These Methods appeared first on Analytics Vidhya. It’s causing quite a stir in the tech community!

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Modeling Analytics IT Machine Learning 276

Dataiku

MAY 17, 2021

The data science and machine learning (ML) industry is growing in maturity with developments in MLOps and more machine learning models being deployed in production every day.

Machine Learning 59

Machine Learning Data Science Modeling 59

Cloudera

APRIL 19, 2021

In our previous blog post in this series , we explored the benefits of using GPUs for data science workflows, and demonstrated how to set up sessions in Cloudera Machine Learning (CML) to access NVIDIA GPUs for accelerating Machine Learning Projects. Introduction.

Deep Learning 70

Deep Learning Machine Learning Data Science Modeling 70

Domino Data Lab

JULY 28, 2021

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. Data Science — A Venn Diagram of Skills. Data science encapsulates both old and new, traditional and cutting-edge. 3 Components of Data Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

DataRobot Blog

JANUARY 27, 2019

In my previous articles Predictive Model Data Prep: An Art and Science and Data Prep Essentials for Automated Machine Learning, I shared foundational data preparation tips to help you successfully. by Jen Underwood. Read More.

Machine Learning 92

Machine Learning Modeling Predictive Modeling Predictive Analytics 92

DataRobot Blog

JULY 28, 2022

Rapid advances in machine learning in recent years have begun to lower the technical hurdles to implementing AI, and various companies have begun to actively use machine learning. As a DataRobot data scientist , I have worked with team members on a variety of projects to improve the business value of our customers.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Cloudera

SEPTEMBER 10, 2020

Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. For enterprise machine learning teams, this means having the right platform, tools, and processes that streamline end-to-end ML to tackle once-impossible business challenges effectively and at scale.

Machine Learning 89

Machine Learning Predictive Analytics Analytics Enterprise 89

Rocket-Powered Data Science

FEBRUARY 15, 2023

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities. So, if you have 1 trillion data points (g.,

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

DataRobot Blog

MARCH 16, 2023

This integration, which leverages the ChatGPT model in Azure OpenAI, provides a conversational AI experience that will allow you to interact with and interpret model results and predictions directly. The integration allows you to generate intelligent data science code that reflects your use case.

Data Science 98

Data Science Technology Data-driven Modeling 98

Dataiku

FEBRUARY 23, 2022

In January, Dataiku’s Léo Dreyfus-Schmidt and Reda Affane presented our annual webinar on up-and-coming machine learning (ML) trends — this year, with a spin on grounding those research trends in reality with actual use cases from our data science team.

Data Science 59

Data Science Machine Learning Optimization Modeling 59