O'Reilly on Data

NOVEMBER 13, 2018

As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Let’s begin by looking at the state of adoption.

Machine Learning 277

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Analytics Vidhya

JUNE 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Are you an aspiring data scientist who is fascinated by how. The post How to Learn Mathematics For Machine Learning? What Concepts do You Need to Master in Data Science? appeared first on Analytics Vidhya.

Machine Learning 358

Machine Learning Data Science Publishing Analytics 358

Analytics Vidhya

JUNE 6, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In applied Statistics and Machine Learning, Data Visualization is one. The post Must Known Data Visualization Techniques for Data Science appeared first on Analytics Vidhya.

Visualization 398

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Analytics Vidhya

FEBRUARY 28, 2023

Each aspect of data science, like data preparation, the importance of big data, and the process of automation, contributes to how data science is the future […] The post 30 Best Data Science Books to Read in 2023 appeared first on Analytics Vidhya.

Data Science 353

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Analytics Vidhya

JUNE 14, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Data Science is an interdisciplinary field that uses various algorithms. The post Introductory Statistics for Data Science! appeared first on Analytics Vidhya.

Statistics 234

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Analytics Vidhya

JUNE 27, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Feature Selection is the process of selecting the features which. The post Feature Selection using Statistical Tests appeared first on Analytics Vidhya.

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Analytics Vidhya

MAY 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Whenever we build any machine learning model, we feed it. The post 4 Ways to Evaluate your Machine Learning Model: Cross-Validation Techniques (with Python code) appeared first on Analytics Vidhya.

Machine Learning 257

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Analytics Vidhya

MAY 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction One of the most common problems every Data Science practitioner. The post Complete Guide to Regularization Techniques in Machine Learning appeared first on Analytics Vidhya.

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datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

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Analytics Vidhya

MAY 21, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In most of the real-life problem statements of Machine learning, The post Complete Guide to Expectation-Maximization Algorithm appeared first on Analytics Vidhya.

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Analytics Vidhya

FEBRUARY 24, 2021

ArticleVideo Book Introduction to Artificial Intelligence and Machine Learning Artificial Intelligence (AI) and its sub-field Machine Learning (ML) have taken the world by storm. The post A Comprehensive Step-by-Step Guide to Become an Industry Ready Data Science Professional appeared first on Analytics Vidhya.

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KDnuggets

OCTOBER 16, 2023

Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning. Want to break into data science?

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Analytics Vidhya

AUGUST 17, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon What is Linear Regression? Regression is a statistical term for describing. The post Understanding Linear Regression with Mathematical Insights! appeared first on Analytics Vidhya.

Statistics 358

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Analytics Vidhya

JULY 23, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Logistic Regression is another statistical model which is used for. The post Geometrical Approach To Understand Logistic Regression appeared first on Analytics Vidhya.

Statistics 353

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Analytics Vidhya

FEBRUARY 25, 2021

ArticleVideo Book Introduction Decision Trees are probably one of the common machine learning algorithms and this is something every Data Science beginner should know. The post How to Split a Decision Tree – The Pursuit to Achieve Pure Nodes appeared first on Analytics Vidhya.

Machine Learning 373

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Analytics Vidhya

MAY 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In Machine learning or Deep Learning, some of the models. The post How to transform features into Normal/Gaussian Distribution appeared first on Analytics Vidhya.

Deep Learning 336

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Analytics Vidhya

MARCH 19, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Multicollinearity is a topic in Machine Learning of which. The post Multicollinearity in Data Science appeared first on Analytics Vidhya.

Data Science 349

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Analytics Vidhya

MAY 28, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Logistic Regression, a statistical model is a very popular and. The post 20+ Questions to Test your Skills on Logistic Regression appeared first on Analytics Vidhya.

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Analytics Vidhya

MARCH 4, 2021

ArticleVideo Book Objective Optimization is the core of every machine learning algorithm. Understand how the Gradient descent algorithm works and optimize model performance. Note: The post Understanding Gradient Descent Algorithm appeared first on Analytics Vidhya.

Machine Learning 306

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Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Machine Learning deals with two types of problems: Regression problems. The post In-depth understanding of Confusion Matrix appeared first on Analytics Vidhya.

Machine Learning 319

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Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Statistics is the foundation of Data Science. Before jumping to. The post Five Number Summary for Analysis! appeared first on Analytics Vidhya.

Statistics 271

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KDnuggets

OCTOBER 27, 2023

This week on KDnuggets: Go from learning what large language models are to building and deploying LLM apps in 7 steps • Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning • And much, much more!

Deep Learning 143

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Analytics Vidhya

JUNE 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Using the machine learning models in your projects is quite. The post Getting Started with Machine Learning?—?Implementing Implementing Linear Regression from Scratch appeared first on Analytics Vidhya.

Machine Learning 143

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Rocket-Powered Data Science

MARCH 10, 2020

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. The book is awesome, an absolute must-have reference volume, and it is free (for now, downloadable from Neo4j ). Graph Algorithms book.

Metadata 250

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Analytics Vidhya

APRIL 24, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Machine Learning(ML) is the science of interpreting the data. The post A broader understanding of ML and types of regression appeared first on Analytics Vidhya.

Machine Learning 235

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Analytics Vidhya

MARCH 4, 2021

ArticleVideo Book Introduction While dealing with Linear Regression we can have multiple lines for different values of slopes and intercepts. But the main question. The post Data Science 101: Introduction to Cost Function appeared first on Analytics Vidhya.

Data Science 400

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Analytics Vidhya

MARCH 31, 2021

ArticleVideo Book Objective Naive Bayes is a fast, easy to understand, and highly scalable algorithm. Understand the working of Naive Bayes, its types, and. The post Introduction To Naive Bayes Algorithm appeared first on Analytics Vidhya.

Analytics 356

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Smart Data Collective

AUGUST 20, 2021

As we said in the past, big data and machine learning technology can be invaluable in the realm of software development. Machine learning technology has become a lot more important in the app development profession. Machine learning can be surprisingly useful when it comes to monetizing apps.

Machine Learning 90

Machine Learning Data mining Advertising Deep Learning 90

Analytics Vidhya

AUGUST 3, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Image Source: dataaspirant.com Introduction What is Logistic Regression? The post Conceptual Understanding of Logistic Regression for Data Science Beginners appeared first on Analytics Vidhya.

Data Science 337

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Analytics Vidhya

APRIL 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. The post Confusion Matrix: Detailed intuition and trick to learn appeared first on Analytics Vidhya. Introduction What is the first measure coming into your mind.

Measurement 329

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DataRobot Blog

JANUARY 17, 2023

Recently, a prospective customer asked me how I reconcile the fact that DataRobot has multiple very successful investment banks using DataRobot to enhance the P&L of their trading businesses with my comments that machine learning models aren’t always great at predicting financial asset prices. For price discovery (e.g.,

Machine Learning 87

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Analytics Vidhya

MARCH 26, 2021

ArticleVideo Book Introduction In the previous article, we saw the Chi-Square algorithm- How to select Best Split in Decision Trees using Chi-Square. The post How to select Best Split in Decision Trees using Information Gain appeared first on Analytics Vidhya.

Analytics 299

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Analytics Vidhya

MAY 26, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Gradient Descent is one of those topics which sometimes scare beginners. The post Gradient Descent From Scratch | Complete Intuition appeared first on Analytics Vidhya.

Data Science 291

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Analytics Vidhya

MAY 18, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In Data Processing, we try to change the data in. The post Feature Scaling Techniques in Python – A Complete Guide appeared first on Analytics Vidhya.

Data Science 283

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Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Previously, such problems were dealt with by specialists in mathematics and statistics. Statistics, mathematics, linear algebra. Machine learning. Where to Use Data Science?

Data mining 144

Data mining Data Science Informatics Statistics 144

Analytics Vidhya

APRIL 26, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Hello readers! In our routine life, we come. The post How to check Stationarity of Data in Python appeared first on Analytics Vidhya.

Data Science 268

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Analytics Vidhya

JUNE 11, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Cutting straight right to the chase, Hurst exponent is a. The post Using Hurst Exponent to analyse the Stock and Crypto market with Python appeared first on Analytics Vidhya.

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