Biznes IT
Vaibhav Gupta
As organizations become ever more global and recruitment needs intensify, the telephone interview is increasingly becoming recognized as an essential aspect of the recruitment process. However, conducting a successful telephone interview is a complex and nuanced process that requires much training and practice.Conducting a Telephone Interview is a practical and comprehensive guide covering every aspect of the telephone interview process. You will learn all the essential elements of successful telephone interviewing, including planning and verbal conduct, asking insightful and relevant questions, and consistently and accurately evaluating the answers given in order to make the correct hiring decision.Covering everything from the role of telephone interviews in the modern recruitment process to selling the job and closing a job offer with a candidate, this book investigates every aspect of the telephone interview process, giving insightful, practical advice and case studies at each point.Telephone interviewing has been shown to reduce both the time and cost of recruitment, but conducting a successful telephone interview is a complex and highly valuable skill. This book will take you on a logical and detailed journey from the planning and scheduling stage, to giving guidance on what sort of questions to ask, what answers to look for, how to dig deeper, and how to effectively evaluate a candidate.Reading this book will equip you with all the knowledge necessary to make the right hiring decisions from effective, comprehensive telephone interviews.
Vaibhav Gupta
As organizations become ever more global and recruitment needs intensify, the telephone interview is increasingly becoming recognized as an essential aspect of the recruitment process. However, conducting a successful telephone interview is a complex and nuanced process that requires much training and practice.Conducting a Telephone Interview is a practical and comprehensive guide covering every aspect of the telephone interview process. You will learn all the essential elements of successful telephone interviewing, including planning and verbal conduct, asking insightful and relevant questions, and consistently and accurately evaluating the answers given in order to make the correct hiring decision.Covering everything from the role of telephone interviews in the modern recruitment process to selling the job and closing a job offer with a candidate, this book investigates every aspect of the telephone interview process, giving insightful, practical advice and case studies at each point.Telephone interviewing has been shown to reduce both the time and cost of recruitment, but conducting a successful telephone interview is a complex and highly valuable skill. This book will take you on a logical and detailed journey from the planning and scheduling stage, to giving guidance on what sort of questions to ask, what answers to look for, how to dig deeper, and how to effectively evaluate a candidate.Reading this book will equip you with all the knowledge necessary to make the right hiring decisions from effective, comprehensive telephone interviews.
Content marketing. Od strategii do efektów
Justyna Bakalarska-Stankiewicz
Złów złotą rybkę w oceanie internetu! Wiek XXI to epoka informacji. A może raczej: nadmiaru informacji. Internet w coraz mniejszym stopniu jest źródłem cennej wiedzy, przypomina raczej śmietnik przepełniony fake newsami i milionami bodźców oddziałujących na odbiorców w każdej sekundzie. Do tego stanu rzeczy przyczyniają się także marketerzy, którzy w obliczu ślepoty bannerowej czy też programów do blokowania reklam szukają coraz skuteczniejszych metod przykucia uwagi odbiorcy. Nie jest to łatwe. Według niektórych źródeł średni czas koncentracji internautów w ostatnich latach spadł do 8 sekund - to podobno tyle, ile trwa utrzymanie uwagi przez złotą rybkę. Dlatego sposobem na zwiększenie zainteresowania internetowych "złotych rybek" miał być content marketing, czyli marketing treści. Jednak ten modny trend, realizowany w niewłaściwy sposób, wcale nie prowadzi do osiągnięcia zadowalających efektów. Zamiast tego powoduje jeszcze większy chaos komunikacyjny. Jak temu zaradzić? Tu z pomocą przychodzi Justyna Bakalarska-Stankiewicz, autorka książki, z której dowiesz się między innymi: Czego content manager może się nauczyć z oper mydlanych? Dlaczego o swoim odbiorcy powinieneś myśleć jak o przyjacielu? Czy content marketing sprzedaje? Czemu panda, pingwin i koliber powinny mieć wpływ na Twoją strategię? Jak być SMART przy określaniu celów w marketingu treści? W czym marketer powinien upodobnić się do Jezusa? Czy Twoja firma to Mędrzec czy Błazen? Jak pisać do odbiorców, którzy nie czytają? A także wielu innych rzeczy, dzięki którym stworzysz naprawdę skuteczną strategię contentmarketingową dla swojej firmy i marki osobistej.
Paul Swartout
Over the past few years, Continuous Delivery (CD) and DevOps have been in the spotlight in tech media, at conferences, and in boardrooms alike. Many articles and books have been written covering the technical aspects of CD and DevOps, yet the vast majority of the industry doesn’t fully understand what they actually are and how, if adopted correctly they can help organizations drastically change the way they deliver value. This book will help you figure out how CD and DevOps can help you to optimize, streamline, and improve the way you work to consistently deliver quality software. In this edition, you’ll be introduced to modern tools, techniques, and examples to help you understand what the adoption of CD and DevOps entails. It provides clear and concise insights in to what CD and DevOps are all about, how to go about both preparing for and adopting them, and what quantifiable value they bring. You will be guided through the various stages of adoption, the impact they will have on your business and those working within it, how to overcome common problems, and what to do once CD and DevOps have become truly embedded. Included within this book are some real-world examples, tricks, and tips that will help ease the adoption process and allow you to fully utilize the power of CD and DevOps
Sander Rossel
The challenge faced by many teams while implementing Continuous Deployment is that it requires the use of many tools and processes that all work together. Learning and implementing all these tools (correctly) takes a lot of time and effort, leading people to wonder whether it's really worth it. This book sets up a project to show you the different steps, processes, and tools in Continuous Deployment and the actual problems they solve.We start by introducing Continuous Integration (CI), deployment, and delivery as well as providing an overview of the tools used in CI. You'll then create a web app and see how Git can be used in a CI environment. Moving on, you'll explore unit testing using Jasmine and browser testing using Karma and Selenium for your app. You'll also find out how to automate tasks using Gulp and Jenkins. Next, you'll get acquainted with database integration for different platforms, such as MongoDB and PostgreSQL. Finally, you'll set up different Jenkins jobs to integrate with Node.js and C# projects, and Jenkins pipelines to make branching easier.By the end of the book, you'll have implemented Continuous Delivery and deployment from scratch.
Xiaoquan Kong, Guan Wang, Alan Nichol
The Rasa framework enables developers to create industrial-strength chatbots using state-of-the-art natural language processing (NLP) and machine learning technologies quickly, all in open source.Conversational AI with Rasa starts by showing you how the two main components at the heart of Rasa work – Rasa NLU (natural language understanding) and Rasa Core. You'll then learn how to build, configure, train, and serve different types of chatbots from scratch by using the Rasa ecosystem. As you advance, you'll use form-based dialogue management, work with the response selector for chitchat and FAQ-like dialogs, make use of knowledge base actions to answer questions for dynamic queries, and much more. Furthermore, you'll understand how to customize the Rasa framework, use conversation-driven development patterns and tools to develop chatbots, explore what your bot can do, and easily fix any mistakes it makes by using interactive learning. Finally, you'll get to grips with deploying the Rasa system to a production environment with high performance and high scalability and cover best practices for building an efficient and robust chat system.By the end of this book, you'll be able to build and deploy your own chatbots using Rasa, addressing the common pain points encountered in the chatbot life cycle.
Leondra R. Gonzalez, Angela Baltes, Aaren Stubberfield
The data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. This poses a challenge for companies seeking the best person to fill their roles. At the heart of this selection process is the data science interview, a crucial juncture that determines the best fit for both the candidate and the company.Cracking the Data Science Interview provides expert guidance on approaching the interview process with full preparation and confidence. Starting with an introduction to the modern data science landscape, you’ll find tips on job hunting, resume writing, and creating a top-notch portfolio. You’ll then advance to topics such as Python, SQL databases, Git, and productivity with shell scripting and Bash. Building on this foundation, you'll delve into the fundamentals of statistics, laying the groundwork for pre-modeling concepts, machine learning, deep learning, and generative AI. The book concludes by offering insights into how best to prepare for the intensive data science interview.By the end of this interview guide, you’ll have gained the confidence, business acumen, and technical skills required to distinguish yourself within this competitive landscape and land your next data science job.
Cracking the Product Marketing Code. Craft winning go-to-market strategies for market domination
Iman Bayatra, Daniel Kuperman
In the ever-evolving product landscape, the significance of building the right product and bringing it effectively to the right market cannot be overstated. With this book, you’ll learn how to bridge the gap between your product and the market to meet customer needs effectively.Equipped with a comprehensive understanding of product marketing and its key functions—inbound and outbound strategies—you’ll discover how these strategies interweave throughout the product launch process and how to effectively leverage them to bring a product to market.This product marketing book will help you master the inbound strategies, influencing product development by conducting market and customer research, analyzing the competitive landscape, identifying customer segments, and building buyer personas to identify gaps and drive product innovation.Next, you’ll get to grips with outbound strategies, the driving force behind product adoption and sustained exponential growth. You’ll create and test messaging and positioning, build the go-to-market (GTM) plan, enable your sales team to maximize effectiveness, and ensure a product-market fit throughout the different stages of the buyer journey with impactful collaboration internally and externally for creating value.By the end of this book, you’ll have transformed into a product marketing expert enhancing product innovation, driving product adoption, and accelerating growth.
Cracking the Product Marketing Code. Craft winning go-to-market strategies for market domination
Iman Bayatra, Daniel Kuperman
In the ever-evolving product landscape, the significance of building the right product and bringing it effectively to the right market cannot be overstated. With this book, you’ll learn how to bridge the gap between your product and the market to meet customer needs effectively.Equipped with a comprehensive understanding of product marketing and its key functions—inbound and outbound strategies—you’ll discover how these strategies interweave throughout the product launch process and how to effectively leverage them to bring a product to market.This product marketing book will help you master the inbound strategies, influencing product development by conducting market and customer research, analyzing the competitive landscape, identifying customer segments, and building buyer personas to identify gaps and drive product innovation.Next, you’ll get to grips with outbound strategies, the driving force behind product adoption and sustained exponential growth. You’ll create and test messaging and positioning, build the go-to-market (GTM) plan, enable your sales team to maximize effectiveness, and ensure a product-market fit throughout the different stages of the buyer journey with impactful collaboration internally and externally for creating value.By the end of this book, you’ll have transformed into a product marketing expert enhancing product innovation, driving product adoption, and accelerating growth.
Chandru Shankar, Vincent Bellefroid
Customer Success with Microsft Dynamics Sure Step is a focused tutorial of Microsoft Dynamics solution envisioning and delivery, rather than a step-by-step guide into project management. It will equip you with the tactics required to plan, align, and orchestrate your solution selling activities, as well as help you to be efficient, proactive, goal driven, and flexible in your Microsoft Dynamics engagements. If you are involved in one or more of the roles stated below, then this book is for you: If you are a Project Manager, Engagement Manager, Solution Architect, or Consultant involved in delivering Microsoft Dynamics solutions, this book will teach you how you can improve the quality of your implementation with a consistent, repeatable process. If you are a Customer Project Manager, Subject Matter Expert, Key User, or End User involved in selecting the right business solution for your organization and delivering the Microsoft Dynamics solution, this book will help you determine how the method facilitates the delivery of a solution that is aligned to your vision. If you are a Sales Executive, Services Sales Executive, Technical Sales Specialist, Pre-Sales Consultant, or Engagement Manager involved in the sales of Microsoft Dynamics solutions, this book will help you to understand how you can accelerate your sales cycle and bring it to a close. If you are the Customer Decision Maker, CxO, Buyer, or Project Manager who participates in the selection process for your business solution needs, this book will show you how to determine how this process can help your due diligence exercise and set the stage for a quality implementation of the solution. If you are a Change Management expert, this book will enable you to learn how you can help the customer manage organizational change during the business solution delivery process, and/or help solution providers adopt a process for selling and delivering solutions.
Robert S. Sutor
Dancing with Qubits, Second Edition, is a comprehensive quantum computing textbook that starts with an overview of why quantum computing is so different from classical computing and describes several industry use cases where it can have a major impact. A full description of classical computing and the mathematical underpinnings of quantum computing follows, helping you better understand concepts such as superposition, entanglement, and interference. Next up are circuits and algorithms, both basic and sophisticated, as well as a survey of the physics and engineering ideas behind how quantum computing hardware is built. Finally, the book looks to the future and gives you guidance on understanding how further developments may affect you.This new edition is updated throughout with more than 100 new exercises and includes new chapters on NISQ algorithms and quantum machine learning.Understanding quantum computing requires a lot of math, and this book doesn't shy away from the necessary math concepts you'll need. Each topic is explained thoroughly and with helpful examples, leaving you with a solid foundation of knowledge in quantum computing that will help you pursue and leverage quantum-led technologies.
Dancing with Qubits. How quantum computing works and how it can change the world
Robert S. Sutor
Quantum computing is making us change the way we think about computers. Quantum bits, a.k.a. qubits, can make it possible to solve problems that would otherwise be intractable with current computing technology. Dancing with Qubits is a quantum computing textbook that starts with an overview of why quantum computing is so different from classical computing and describes several industry use cases where it can have a major impact. From there it moves on to a fuller description of classical computing and the mathematical underpinnings necessary to understand such concepts as superposition, entanglement, and interference. Next up is circuits and algorithms, both basic and more sophisticated. It then nicely moves on to provide a survey of the physics and engineering ideas behind how quantum computing hardware is built. Finally, the book looks to the future and gives you guidance on understanding how further developments will affect you.Really understanding quantum computing requires a lot of math, and this book doesn't shy away from the necessary math concepts you'll need. Each topic is introduced and explained thoroughly, in clear English with helpful examples.
Dancing with Qubits. How quantum computing works and how it can change the world
Robert S. Sutor
Quantum computing is making us change the way we think about computers. Quantum bits, a.k.a. qubits, can make it possible to solve problems that would otherwise be intractable with current computing technology. Dancing with Qubits is a quantum computing textbook that starts with an overview of why quantum computing is so different from classical computing and describes several industry use cases where it can have a major impact. From there it moves on to a fuller description of classical computing and the mathematical underpinnings necessary to understand such concepts as superposition, entanglement, and interference. Next up is circuits and algorithms, both basic and more sophisticated. It then nicely moves on to provide a survey of the physics and engineering ideas behind how quantum computing hardware is built. Finally, the book looks to the future and gives you guidance on understanding how further developments will affect you.Really understanding quantum computing requires a lot of math, and this book doesn't shy away from the necessary math concepts you'll need. Each topic is introduced and explained thoroughly, in clear English with helpful examples.
Cuantum Technologies LLC
Embark on a comprehensive journey through data analysis with Python. Begin with an introduction to data analysis and Python, setting a strong foundation before delving into Python programming basics. Learn to set up your data analysis environment, ensuring you have the necessary tools and libraries at your fingertips. As you progress, gain proficiency in NumPy for numerical operations and Pandas for data manipulation, mastering the skills to handle and transform data efficiently.Proceed to data visualization with Matplotlib and Seaborn, where you'll create insightful visualizations to uncover patterns and trends. Understand the core principles of exploratory data analysis (EDA) and data preprocessing, preparing your data for robust analysis. Explore probability theory and hypothesis testing to make data-driven conclusions and get introduced to the fundamentals of machine learning. Delve into supervised and unsupervised learning techniques, laying the groundwork for predictive modeling.To solidify your knowledge, engage with two practical case studies: sales data analysis and social media sentiment analysis. These real-world applications will demonstrate best practices and provide valuable tips for your data analysis projects.
Data Analysis with IBM SPSS Statistics. Implementing data modeling, descriptive statistics and ANOVA
James C. Mott, Ken Stehlik-Barry, James Sugrue,...
SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. The journey starts with installing and configuring SPSS Statistics for first use and exploring the data to understand its potential (as well as its limitations). Use the right statistical analysis technique such as regression, classification and more, and analyze your data in the best possible manner. Work with graphs and charts to visualize your findings. With this information in hand, the discovery of patterns within the data can be undertaken. Finally, the high level objective of developing predictive models that can be applied to other situations will be addressed. By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease.
Duc Haba
Data is paramount in AI projects, especially for deep learning and generative AI, as forecasting accuracy relies on input datasets being robust. Acquiring additional data through traditional methods can be challenging, expensive, and impractical, and data augmentation offers an economical option to extend the dataset.The book teaches you over 20 geometric, photometric, and random erasing augmentation methods using seven real-world datasets for image classification and segmentation. You’ll also review eight image augmentation open source libraries, write object-oriented programming (OOP) wrapper functions in Python Notebooks, view color image augmentation effects, analyze safe levels and biases, as well as explore fun facts and take on fun challenges. As you advance, you’ll discover over 20 character and word techniques for text augmentation using two real-world datasets and excerpts from four classic books. The chapter on advanced text augmentation uses machine learning to extend the text dataset, such as Transformer, Word2vec, BERT, GPT-2, and others. While chapters on audio and tabular data have real-world data, open source libraries, amazing custom plots, and Python Notebook, along with fun facts and challenges.By the end of this book, you will be proficient in image, text, audio, and tabular data augmentation techniques.
Data driven marketing. O logicznym podejściu do podejmowania decyzji
Adrian Andrzejczyk
Jak korzystać z pozyskanych danych przy tworzeniu kampanii marketingowej? Data driven marketing jest koncepcją odnoszącą się bezpośrednio do używania statystyk, faktów i obiektywnych informacji w marketingu. Te precyzyjne, ukierunkowane działania mają pomóc w podejmowaniu lepszych decyzji, optymalizacji procesów czy ― idąc tropem marketingu 5.0 ― zastosowaniu AI jako wsparcia, jak również naśladowaniu pracy samych marketingowców. W efekcie marketing staje się efektywniejszy, co bezpośrednio pozytywnie wpływa na wyniki przedsiębiorstwa. Sam termin data driven marketing jest bardzo obszerny, mieszczą się w nim wszystkie pojęcia wspólne dla marketingu i analityki danych. Autor książki stara się zgłębić najważniejsze z nich i pokazać: Jak skuteczny może być marketing bazujący na danych Na czym bazują techniki analizy danych Dlaczego w marketingu online warto sięgać po narzędzia oferowane przez Google Które z nich są szczególnie przydatne w marketingowej analizie danych Jakimi rozwiązaniami można ewentualnie zastąpić narzędzia Google Książka w mediach: BiznesTuba.pl Przeczytam 52 Książki Bookstagram Detalistka.pl - Recenzja Books4Business Bookstagram
Vijaya Kumar Suda
Data labeling is the invisible hand that guides the power of artificial intelligence and machine learning. In today’s data-driven world, mastering data labeling is not just an advantage, it’s a necessity. Data Labeling in Machine Learning with Python empowers you to unearth value from raw data, create intelligent systems, and influence the course of technological evolution.With this book, you'll discover the art of employing summary statistics, weak supervision, programmatic rules, and heuristics to assign labels to unlabeled training data programmatically. As you progress, you'll be able to enhance your datasets by mastering the intricacies of semi-supervised learning and data augmentation. Venturing further into the data landscape, you'll immerse yourself in the annotation of image, video, and audio data, harnessing the power of Python libraries such as seaborn, matplotlib, cv2, librosa, openai, and langchain. With hands-on guidance and practical examples, you'll gain proficiency in annotating diverse data types effectively.By the end of this book, you’ll have the practical expertise to programmatically label diverse data types and enhance datasets, unlocking the full potential of your data.
Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
Vivek Mishra, Tomcy John, Pankaj Misra
The term Data Lake has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights that can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it not only helps to derive useful information from historical data but also correlates real-time data to enable business to take critical decisions. This book tries to bring these two important aspects — data lake and lambda architecture—together.This book is divided into three main sections. The first introduces you to the concept of data lakes, the importance of data lakes in enterprises, and getting you up-to-speed with the Lambda architecture. The second section delves into the principal components of building a data lake using the Lambda architecture. It introduces you to popular big data technologies such as Apache Hadoop, Spark, Sqoop, Flume, and ElasticSearch. The third section is a highly practical demonstration of putting it all together, and shows you how an enterprise data lake can be implemented, along with several real-world use-cases. It also shows you how other peripheral components can be added to the lake to make it more efficient.By the end of this book, you will be able to choose the right big data technologies using the lambda architectural patterns to build your enterprise data lake.
Data Lakehouse in Action. Architecting a modern and scalable data analytics platform
Pradeep Menon
The Data Lakehouse architecture is a new paradigm that enables large-scale analytics. This book will guide you in developing data architecture in the right way to ensure your organization's success.The first part of the book discusses the different data architectural patterns used in the past and the need for a new architectural paradigm, as well as the drivers that have caused this change. It covers the principles that govern the target architecture, the components that form the Data Lakehouse architecture, and the rationale and need for those components. The second part deep dives into the different layers of Data Lakehouse. It covers various scenarios and components for data ingestion, storage, data processing, data serving, analytics, governance, and data security. The book's third part focuses on the practical implementation of the Data Lakehouse architecture in a cloud computing platform. It focuses on various ways to combine the Data Lakehouse pattern to realize macro-patterns, such as Data Mesh and Data Hub-Spoke, based on the organization's needs and maturity level. The frameworks introduced will be practical and organizations can readily benefit from their application.By the end of this book, you'll clearly understand how to implement the Data Lakehouse architecture pattern in a scalable, agile, and cost-effective manner.
Data Mining. Eksploracja danych w sieciach społecznościowych. Wydanie III
Matthew A. Russell, Mikhail Klassen
Internetu nie można rozważać wyłącznie jako tworu techniki. Powstanie tej sieci doprowadziło do rozwoju różnych zjawisk społecznych. Z tej perspektywy na szczególną uwagę zasługują media społecznościowe. Są źródłem informacji, które, właściwie spożytkowane, mogą przynieść niezły dochód. Mogą też dać odpowiedzi na wiele pytań zadawanych przez naukowców z różnych branż. Sama eksploracja tych danych przynosi sporo satysfakcji i radości. Zaskakujące przy tym jest to, że przygotowanie zestawu potrzebnych narzędzi i nauka posługiwania się nimi zabiera naprawdę niewiele czasu i nie wymaga specjalnych talentów! To trzecie, zaktualizowane wydanie popularnego podręcznika dla osób, które chcą zająć się wydobywaniem danych z sieci społecznościowych. Uwzględniono tu zmiany interfejsów API wprowadzone do poszczególnych platform i dodano rozdział o eksploracji Instagrama. Dowiesz się, jak dzięki danym z mediów społecznościowych określić sieć powiązań użytkowników, zorientować się, kto o czym mówi i gdzie się znajduje. Treść bogato zilustrowano przykładami kodu w Pythonie, a także plikami Jupyter Notebook lub kontenerów Dockera. Ciekawym elementem książki jest zbiór receptur dotyczących rozwiązywania konkretnych problemów z Twitterem. W tej książce między innymi: wprowadzenie do świata mediów społecznościowych przybliżenie bogactwa danych zawartych w mediach społecznościowych eksploracja danych za pomocą narzędzi Pythona 3 zaawansowane techniki eksploracji danych, w tym współczynniki TFIDF, podobieństwo kosinusów i rozpoznawanie obrazów tworzenie wizualizacji pozyskanych danych Jakie informacje dziś znajdziesz dzięki danym z Facebooka?
David Natingga
Machine learning applications are highly automated and self-modifying, and continue to improve over time with minimal human intervention, as they learn from the trained data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed. Through algorithmic and statistical analysis, these models can be leveraged to gain new knowledge from existing data as well.Data Science Algorithms in a Week addresses all problems related to accurate and efficient data classification and prediction. Over the course of seven days, you will be introduced to seven algorithms, along with exercises that will help you understand different aspects of machine learning. You will see how to pre-cluster your data to optimize and classify it for large datasets. This book also guides you in predicting data based on existing trends in your dataset. This book covers algorithms such as k-nearest neighbors, Naive Bayes, decision trees, random forest, k-means, regression, and time-series analysis.By the end of this book, you will understand how to choose machine learning algorithms for clustering, classification, and regression and know which is best suited for your problem
David Natingga
Machine learning applications are highly automated and self-modifying, and continue to improve over time with minimal human intervention, as they learn from the trained data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed. Through algorithmic and statistical analysis, these models can be leveraged to gain new knowledge from existing data as well.Data Science Algorithms in a Week addresses all problems related to accurate and efficient data classification and prediction. Over the course of seven days, you will be introduced to seven algorithms, along with exercises that will help you understand different aspects of machine learning. You will see how to pre-cluster your data to optimize and classify it for large datasets. This book also guides you in predicting data based on existing trends in your dataset. This book covers algorithms such as k-nearest neighbors, Naive Bayes, decision trees, random forest, k-means, regression, and time-series analysis.By the end of this book, you will understand how to choose machine learning algorithms for clustering, classification, and regression and know which is best suited for your problem
Data Science for Decision Makers. Enhance your leadership skills with data science and AI expertise
Jon Howells
As data science and artificial intelligence (AI) become prevalent across industries, executives without formal education in statistics and machine learning, as well as data scientists moving into leadership roles, must learn how to make informed decisions about complex models and manage data teams. This book will elevate your leadership skills by guiding you through the core concepts of data science and AI.This comprehensive guide is designed to bridge the gap between business needs and technical solutions, empowering you to make informed decisions and drive measurable value within your organization. Through practical examples and clear explanations, you'll learn how to collect and analyze structured and unstructured data, build a strong foundation in statistics and machine learning, and evaluate models confidently. By recognizing common pitfalls and valuable use cases, you'll plan data science projects effectively, from the ground up to completion. Beyond technical aspects, this book provides tools to recruit top talent, manage high-performing teams, and stay up to date with industry advancements.By the end of this book, you’ll be able to characterize the data within your organization and frame business problems as data science problems.
Mercury Learning and Information, P. G. Madhavan
This book introduces data science to professionals in engineering, physics, mathematics, and related fields. It serves as a workbook with MATLAB code, linking subject knowledge to data science, machine learning, and analytics, with applications in IoT. Part One integrates machine learning, systems theory, linear algebra, digital signal processing, and probability theory. Part Two develops a nonlinear, time-varying machine learning solution for modeling real-life business problems.Understanding data science is crucial for modern applications, particularly in IoT. This book presents a dynamic machine learning solution to handle these complexities. Topics include machine learning, systems theory, linear algebra, digital signal processing, probability theory, state-space formulation, Bayesian estimation, Kalman filter, causality, and digital twins.The journey begins with data science and machine learning, covering systems theory and linear algebra. Advanced concepts like the Kalman filter and Bayesian estimation lead to developing a dynamic machine learning model. The book ends with practical applications using digital twins.
Gabriela Castillo Areco
Data is the new oil and Web3 is generating it at an unprecedented rate. Complete with practical examples, detailed explanations, and ideas for portfolio development, this comprehensive book serves as a step-by-step guide covering the industry best practices, tools, and resources needed to easily navigate the world of data in Web3.You’ll begin by acquiring a solid understanding of key blockchain concepts and the fundamental data science tools essential for Web3 projects. The subsequent chapters will help you explore the main data sources that can help address industry challenges, decode smart contracts, and build DeFi- and NFT-specific datasets. You’ll then tackle the complexities of feature engineering specific to blockchain data and familiarize yourself with diverse machine learning use cases that leverage Web3 data.The book includes interviews with industry leaders providing insights into their professional journeys to drive innovation in the Web 3 environment. Equipped with experience in handling crypto data, you’ll be able to demonstrate your skills in job interviews, academic pursuits, or when engaging potential clients.By the end of this book, you’ll have the essential tools to undertake end-to-end data science projects utilizing blockchain data, empowering you to help shape the next-generation internet.
Mercury Learning and Information, Christopher Greco
This book introduces popular data science tools and guides readers on how to use them effectively. It covers data analysis using Microsoft Excel, KNIME, R, and OpenOffice, applying statistical concepts such as confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis with real data from Federal Government sources.The course begins with the basics, including importing data and conducting various statistical tests. It progresses to specific methods for each tool, ensuring a comprehensive understanding of data analysis. Capstone exercises provide hands-on experience, reinforcing the concepts learned throughout the book.Understanding these tools and concepts is crucial for effective data analysis. This book takes readers from the basics to advanced statistical methods, combining theoretical insights with practical applications. Companion files with source code and data sets enhance the learning experience, making this book an essential resource for mastering data analysis with popular software applications.
Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science
Dejan Sarka
SQL Server only started to fully support data science with its two most recent editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning (ML) Services for your projects, then this is the ideal book for you.This book is the ideal introduction to data science with Microsoft SQL Server and In-Database ML Services. It covers all stages of a data science project, from businessand data understanding,through data overview, data preparation, modeling and using algorithms, model evaluation, and deployment.You will learn to use the engines and languages that come with SQL Server, including ML Services with R and Python languages and Transact-SQL. You will also learn how to choose which algorithm to use for which task, and learn the working of each algorithm.