Knowledge Hut

DECEMBER 27, 2023

Also, you must go through certain software engineering books to make your knowledge and skills robust for the job. In this article, we will read about some of the most prevalent and widely loved and best books to read for software engineers that can help you get a good hold of all the concepts in engineering.

Software Engineer 98

Software Engineer Software Engineering Engineering Computer Science 98

Knowledge Hut

JUNE 25, 2024

For those interested in studying this programming language, several best books for python data science are accessible. Top 8 Python Data Science Books for 2023 Python is one of the programming languages that is most commonly utilized in the field of data science. This book offers practical programming solutions to these problems.

Data Science 97

Data Science Python Hadoop Media 97

ProjectPro

JUNE 6, 2025

So many NLP books, so little time - the problem of choice arises when you want to become a better data scientist, NLP engineer, or machine learning engineer by drenching in some top NLP books. Books on NLP are abundant on the internet, making it harder for beginners to pick a book. And here we go.

Deep Learning 40

Deep Learning Java Python Computer Science 40

KDnuggets

MAY 30, 2022

Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; Naïve Bayes Algorithm: Everything You Need to Know.

Data Science 160

Data Science Algorithm Machine Learning Python 160

ProjectPro

JUNE 6, 2025

Table of Contents Learning Probability and Statistics for Machine Learning Best Statistics Book for Machine Learning Best Probability Book for Machine Learning How to choose the Best Statistics Course for Machine Learning? As after learning from the books, you must try to explore exciting ways of implementing your knowledge.

Machine Learning 74

Machine Learning Insurance Algorithm Datasets 74

KDnuggets

MARCH 21, 2022

Also: Best Data Science Books for Beginners; The Complete Collection of Data Science Cheat Sheets – Part 1; Top Programming Languages and Their Uses; The Complete Collection of Data Science Cheat Sheets – Part 2.

Algorithm 108

Algorithm Programming Language Data Science Programming 108

Knowledge Hut

MAY 3, 2024

Unsupervised Learning: If the available dataset has predefined features but lacks labels, then the Machine Learning algorithms perform operations on this data to assign labels to it or to reduce the dimensionality of the data. Easy to use: Decision Trees are one of the simplest, yet most versatile algorithms in Machine Learning.

Machine Learning 98

Machine Learning Algorithm Datasets Medical 98

ProjectPro

JUNE 6, 2025

Along with that, deep learning algorithms and image processing methods are also used over medical reports to support a patient’s treatment better. Additionally, use different machine learning algorithms like linear regression, decision trees, random forests, etc. to estimate the costs.

Business Intelligence 69

Business Intelligence Coding Project BI 69

ProjectPro

JUNE 6, 2025

For example, a hotel booking website recently introduced AI travel agents to chat with customers in 15 languages. These AI agents handled over 40,000 inquiries and helped book thousands of hotel rooms worth £150,000 in just one month, showing how powerful and efficient they can be in real-world applications.

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Deep Learning Algorithm Machine Learning Banking 80

ProjectPro

JUNE 6, 2025

Get Access To Industry-level End-to-End Solved Data Science Projects in Python 15 Awesome FastAPI Projects For Data Scientists From building a movie recommendation API to a book library API and even a voice assistant API, this section will cover various FastAPI project ideas that showcase the power and versatility of FastAPI.

Project 45

Project MongoDB Machine Learning Datasets 45

ProjectPro

JUNE 6, 2025

But a well-written AI book? So, don't miss our compilation of 15+ handpicked best in-class AI books, ideal for learners who want to learn AI concepts, algorithms, and possibilities driving artificial intelligence - all in one go! Human + Machine: Reimagining Work in the Age of AI Other Top Books About AI 14.

Deep Learning 40

Deep Learning Machine Learning Algorithm Python 40

ProjectPro

JUNE 6, 2025

When working on a data science project, after using Exploratory Data Analysis techniques over the dataset, the next step is to clean it and prepare it for the application of machine learning / deep learning algorithms. You will learn how to deal with such values in the dataset before passing them as an input to the predictive algorithms.

Project 40

Project Datasets Algorithm Data Science 40

Monte Carlo

NOVEMBER 12, 2024

Meta’s algorithms consider a range of engagement data, like which posts catch your attention, how long you view them, and who you engage with most often. Airbnb doesn’t just look at your search filters—it also considers factors like your past bookings, preferred amenities, and budget.

Architecture 96

Architecture Data Engineer Data Engineering Engineering 96

ProjectPro

JUNE 6, 2025

For that purpose, we need a specific set of utilities and algorithms to process text, reduce it to the bare essentials, and convert it to a machine-readable form. A stemming algorithm simply maps the variant of a word to its stem (the base form). Nevertheless, the nltk stemmer gives us at least three stemming algorithms to choose from.

Building 66

Building Datasets Python Algorithm 66

ProjectPro

JUNE 6, 2025

Computer vision scientists get to work at research labs spending time with cutting edge deep learning algorithms and state of the art architectures. Prototyping algorithms and testing to articulate/quantify results. You will need to have the know-how of machine learning algorithms to classify images or detect objects.

Engineering 68

Engineering Deep Learning Machine Learning Algorithm 68

KDnuggets

JUNE 1, 2022

The Complete Collection of Data Science Books - Part 2; Data Science Projects That Will Land You The Job in 2022; How to Become a Machine Learning Engineer; Dynamic Time Warping Algorithm in Time Series, Explained; Free Data Engineering Courses.

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Data Science Project Algorithm Machine Learning 83

ProjectPro

JUNE 6, 2025

Training a model in machine learning is the process of teaching a machine learning algorithm to make predictions or decisions based on data. Algorithm: An algorithm is the mathematical or computational procedure that the model uses to learn from the data. FAQs What is training a model in machine learning?

Machine Learning 45

Machine Learning Datasets Algorithm Data Science 45

KDnuggets

FEBRUARY 28, 2022

Unless you have a basic knowledge of calculus, you cannot understand how machine learning algorithms are developed. The book has more math than our other books and over 85 code examples to help you understand the concepts.

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Machine Learning Building Algorithm Coding 118

ThoughtSpot

JUNE 2, 2025

AI Data Matching: Advanced matching algorithms allow Spotter to accurately interpret user intent, even when data is messy or business logic is complex and nuanced. If youre interested in seeing how the Agentic Semantic Layer can redefine your organizations approach to data and analytics, book a demo to learn more.

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Raw Data Government Algorithm Data 64

ProjectPro

JUNE 6, 2025

One fundamental algorithm worth exploring is the K-Nearest Neighbors (KNN) algorithm. Machine Learning Projects using KNN using Python We'll guide you through five machine-learning projects using the KNN algorithm, all implemented in Python. In the vast domain of machine learning, it's essential to understand the basics well.

Machine Learning 52

Machine Learning Project Algorithm Datasets 52

ProjectPro

JUNE 6, 2025

The primary reason behind this spike is the sudden realization that using MLOps results in the improvised deployment of machine learning algorithms. Feature Selection and Feature Engineering Choosing the relevant machine learning/deep learning algorithms. Using machine learning algorithms to automate the solution pipelines.

Deep Learning 40

Deep Learning Machine Learning Algorithm Data Science 40

ProjectPro

JUNE 6, 2025

Willingness to explore various data science algorithms like Linear regression, KNN, etc. Data Scientist : For those who find implementing various algorithms on a dataset quite exciting, securing the job role of a data scientist can be your next target. Strong skills in mathematical topics such as calculus, differential equations, etc.

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Data Analysis IT Programming Language Algorithm 40

Snowflake

JUNE 6, 2025

To address this ongoing issue, “we have built ML and AI algorithms that predict failure in parts in vehicles, that run natively in Snowflake and use telematics data and historic repair data to help business users keep those vehicles on the road with preventative maintenance,” said Seb Bennett, Data Science Lead at Lumilinks.

BI 65

BI Finance Utilities Data Pipeline 65

ProjectPro

JUNE 6, 2025

The system builds a deep network of complex connections between those products and people using machine learning algorithms and data about different users and products. Book Recommendation System Project This is one of the most beginner-friendly product recommendation system projects.

Systems 45

Systems Project Datasets Machine Learning 45

ProjectPro

JUNE 6, 2025

Are you juggling between various terms related to Deep Learning, like convolutional neural networks, pooling layer, backpropagation algorithm, etc., Learn How to Create Deep Learning Algorithms in Python! The books mentioned in the table are all beginner-friendly and explain the concepts in detail. All your worries end here.

Deep Learning 58

Deep Learning Machine Learning Algorithm Python 58

KDnuggets

JUNE 7, 2022

Also: Decision Tree Algorithm, Explained; How to Become a Machine Learning Engineer; The Complete Collection of Data Science Books – Part 2; 15 Python Coding Interview Questions You Must Know For Data Science.

Data Science 119

Data Science Algorithm Machine Learning Python 119

ProjectPro

JUNE 6, 2025

Information Extraction: They design algorithms to extract structured information from unstructured text data. Research and Development: NLP engineers often engage in research to advance the field, exploring new algorithms, techniques, and applications. The implementation of ML/DL algorithms like Transformers, RNNs, etc.,

Engineering 40

Engineering Portfolio Deep Learning Algorithm 40

U-Next

AUGUST 11, 2022

You might spend some time reading these Top Artificial Intelligence Books for Self-Learning to understand something about AI and its ideas. Best Books About Artificial Intelligence To Read? The book introduces the reader to the field, and the principles and justifications are simple for them to grasp. systems.

Retail 52

Retail Banking Deep Learning Programming 52

ProjectPro

JUNE 6, 2025

Learn C++ for Computer Vision Best Books to Learn Computer Vision FAQs Q1. The Open Source Computer Vision Library contains more than 2500 real-time computer vision algorithms , detailed documentation, and sample code. This project allows you to implement some of the complex CV algorithms and concepts using the OpenCV library.

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Programming Language Deep Learning Machine Learning Algorithm 49

ProjectPro

JUNE 6, 2025

Prerequisites Solid understanding of ML algorithms , data science concepts, and at least one deep learning framework. Course Highlights ML Fundamentals- Algorithms, model evaluation, optimization techniques, and bias mitigation. Prerequisites Basic understanding of software engineering and machine learning concepts and algorithms.

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Certification Google Cloud AWS Machine Learning 53

ProjectPro

JUNE 6, 2025

Cab Booking System Using Google Cloud Platform Companies like Uber and Ola have resolved the commute problem of all citizens of the world. Source: Image.slidesharecdn.com The Online Cab Booking System uses a lot of data stored in Big Query and then uses Google maps to understand the coordinates of the different cabs in a particular area.

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Google Cloud Project Data Lake Healthcare 58

ProjectPro

JUNE 6, 2025

The solution is devised by applying statistical algorithms called machine learning models, which assist in revealing hidden patterns in the data. Well-versed with applications of various machine learning and deep learning algorithms. In Data Science, mathematics is the foundation of the most advanced tools and algorithms.

Deep Learning 40

Deep Learning Programming Language Algorithm Data Science 40

ProjectPro

JUNE 6, 2025

Python Fundamentals for Data Science Before exploring libraries that assist in implementing data science algorithms, it is crucial to learn python fundamentals. Scikit-learn This library contains all the codes for implementing machine learning algorithms like linear regression, logistic regression , etc.

Data Science 52

Data Science Python Programming Language Deep Learning 52

Christophe Blefari

JANUARY 26, 2024

Data mesh by the book will not work, if you want to scale you can't just add more people in a central team. Inputs and outputs can be instrumented with multiple techniques that will empower people in their interaction with AI algorithm. Inputs — This is what you ask from the users to feed your algorithm.

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Google Cloud Data Algorithm Java 130

ProjectPro

JUNE 6, 2025

Build a data science project for every concept that you learn through the book or any other online data science resources. If any particular math or statistics concept does not make sense to you, be it on the book, or in the class, keep up your confidence and search for other alternate online resources to learn any given data science concept.

Data Science 52

Data Science Portfolio Machine Learning Python 52

KDnuggets

JULY 17, 2023

The second edition of the book Neural Networks and Deep Learning is now available. This book covers both classical and modern models in deep learning. The book is intended to be a textbook for universities, and it covers the theoretical and algorithmic aspects of deep learning.

Deep Learning 99

Deep Learning Algorithm IT 99

KDnuggets

NOVEMBER 7, 2022

How to Select Rows and Columns in Pandas Using [ ],loc, iloc,at and.iat • 15 Free Machine Learning and Deep Learning Books • Decision Tree Algorithm, Explained • Should I Learn Julia? • 7 Techniques to Handle Imbalanced Data.

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Deep Learning Algorithm Machine Learning Data 108