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Do YOU want to work as a data scientist? Then proceed to read. The Bureau of Labor Statistics states that a data scientist makes, on average, $98,230 a year.
Over the previous three years, there has been a 31% increase in data science job ads, but only a 14% increase in data science job searches. There is a scarcity of about 150,000 data science workers as a result of this strong demand.
Data science is ranked as the #2 jobs in America by Glassdoor...
2) Think AI: Explore the flavours of Machine Learning, Neural Networks, Computer Vision and NLP with
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Develop AI based real-world Applications KEY FEATURES ● Provides a practical understanding of AI, including its concepts, tools and techniques.● Includes step-by-by-step instructions for implementing machine learning and deep learning algorithms and features.● Complex datasets and examples are used to expose mathematical illustrative and pseudo-coded examples. DESCRIPTION "Think AI" is a rapid-learning book that covers a wide range of Artificial...
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The book Simple Data Science (R) covers data science, R language, graphing, and machine learning. It is beginner-friendly, precise, and complete. It has minimal theory and code examples. It is one of the fastest ways to learn data science. The hands-on projects provide a detailed step-by-step guide for implementing machine learning solutions.
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Artificial Intelligence in Short is a poignant book about the fundamental concepts of AI and machine learning. Written clearly and accompanied by numerous practical examples, this book enables any capable reader to understand concepts such as how computer vision and large language models are created and used while remaining free of mathematical formulas or other highly technical details. The tonality used in this book is unassuming and full of levity....
5) Machine Learning in Production: Master the Art of Delivering Robust Machine Learning Solutions wi
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Deploy, manage, and scale Machine Learning models with MLOps effortlesslyKEY FEATURES ● Explore several ways to build and deploy ML models in production using an automated CI/CD pipeline.● Develop and convert ML apps into Android and Windows apps.● Learn how to implement ML model deployment on popular cloud platforms, including Azure, GCP, and AWS.DESCRIPTION 'Machine Learning in Production' is an attempt to decipher the path to a remarkable...
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Network security is any action an organization takes to prevent malicious use or accidental damage to the network's private data, its users or their devices. The goal of network security is to keep the network running and safe for all legitimate users.Security incident response is one key aspect of maintaining organizational security. A critical task during security incident response is detecting that an incident has occurred. Detection...
7) Learn Autonomous Programming with Python: Utilize Python's Capabilities in Artificial Intelligenc
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Unleash the hidden potential of Python to emerge as a change maker of contemporary industry KEY FEATURES ● Explore Python commands for RPA, workflows and hyperautomation.● Concise chapters with lucid examples and elaborate codes that make learning interesting.● Practical industry use case at the end of every chapter to highlight its real world application. DESCRIPTION The current industry (also called Industry 4.0) has witnessed an unprecedented...
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Introducing the Ultimate Bioinformatics Book Bundle!
Dive into the world of bioinformatics with our comprehensive book bundle, featuring four essential volumes that cover everything from foundational concepts to advanced applications. Whether you're a student, researcher, or practitioner in the life sciences, this bundle has something for everyone.
Book 1: Bioinformatics Basics Get started with the basics of bioinformatics in this introductory volume....
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Are you ready to revolutionize your understanding of data? Dive into the dynamic world of data mining with Python and unlock a treasure trove of insights that will supercharge your decision-making.
In this groundbreaking guide, you'll embark on a thrilling journey through the art of extracting valuable knowledge from complex datasets. Whether you're a seasoned data scientist or just starting your analytics adventure, this book will empower you to...
10) Applied Deep Learning: Design and Implement your own Neural Networks to Solve Real-World Problems
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A comprehensive guide to Deep Learning for Beginners KEY FEATURES ● Learn how to design your own neural network efficiently.● Learn how to build and train Recurrent Neural Networks (RNNs).● Understand how encoding and decoding work in Deep Neural Networks. DESCRIPTION Deep Learning has become increasingly important due to the growing need to process and make sense of vast amounts of data in various fields. If you want to gain a deeper understanding...
11) Python Machine Learning for Beginners: Unsupervised Learning, Clustering, and Dimensionality Reducti
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Python Machine Learning for Beginners: Your Journey to Becoming a Python Machine Learning Expert is a comprehensive guide designed for individuals with little or no prior experience in machine learning. This book is designed to provide a step-by-step introduction to the world of machine learning and help you understand the concepts, tools, and techniques required to become a proficient machine learning practitioner. The book covers the fundamentals...
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Practical Approaches to Time Series Analysis and Forecasting Using Python for Informed Decision-Making
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Embark on a transformative journey through the intricacies of time series analysis and forecasting with this comprehensive handbook. Beginning with the essential packages for data science and machine learning projects you will delve into Python's prowess for efficient time series data analysis, exploring the core components...
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"Full Value of Data: Driving Business Success with the Full Value of Data" is a comprehensive guide to harnessing the power of data to drive business success. This book covers all aspects of data-driven decision making, from identifying relevant data sources, setting data-driven goals and objectives, to creating a data-driven culture within the organization.The book begins by discussing the importance of data in today's business environment and the...
14) Practical Deep Reinforcement Learning with Python: Concise Implementation of Algorithms, Simplified
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Introducing Practical Smart Agents Development using Python, PyTorch, and TensorFlow
KEY FEATURES ● Exposure to well-known RL techniques, including Monte-Carlo, Deep Q-Learning, Policy Gradient, and Actor-Critical. ● Hands-on experience with TensorFlow and PyTorch on Reinforcement Learning projects.● Everything is concise, up-to-date, and visually explained with simplified mathematics.
DESCRIPTION Reinforcement learning is a fascinating branch...
15) Cognitive Computing: Revolutionizing Problem-Solving and Decision-Making through Artificial Intel
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Description
Cognitive Computing: Revolutionizing Problem-Solving and Decision-Making through Artificial Intelligence is a cutting-edge exploration of the latest developments in AI and how they are transforming the way we solve problems and make decisions. Throughout the book, the author uses clear and concise language to explain complex concepts and theories, making this an ideal resource for students, researchers, and professionals in a wide range of fields,...
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Quantum computing is a sophisticated approach to making parallel calculations, using the physics that governs subatomic particles to replace the more simplistic transistors in today's computers. Therefore it holds the promise to solve some of our planet's biggest challenges - in the areas of environment, agriculture, health, energy, climate, materials science, and others we haven't encountered yet. For some of these problems, classical computing is...
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This book is intended to provide an introduction to recommender systems using Apache Spark and Machine Learning. Before we begin with recommender systems using Apache Spark, we define Big Data and Machine Learning. We then dive directly into our use case of building a recommender system with Apache Spark and Machine learning by showing you how to build a recommender system - step by step.
18) Hands-on Mulesoft Anypoint Platform, Volume 3: Implement Various Connectors Including Database, File
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Description
Make Integration simpler and speedy with Enterprise Infrastructure using Anypoint connectors KEY FEATURES ● Application connectors and SaaS connectors are described in detail.● All programmes (DB, JMS, LDAP) are installed with reference applications and screenshots.● Real-time use cases for creating APIs and application flows are described.
DESCRIPTION Hands-on MuleSoft Anypoint platform Volume 3 offers installation and step-by-step procedures...
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Master machine learning with SAS Viya!
Machine learning can feel intimidating for new practitioners. Machine Learning with SAS Viya provides everything you need to know to get started with machine learning in SAS Viya, including decision trees, neural networks, and support vector machines. The analytics life cycle is covered from data preparation and discovery to deployment. Working with open-source code? Machine Learning with SAS Viya has you covered...
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Dive into the world of machine learning with "Machine Learning with Python for Beginners," a comprehensive guide designed to introduce you to the fundamentals of machine learning using Python. This accessible book equips beginners with the essential tools and knowledge needed to embark on practical machine learning projects. From setting up your Python environment to exploring advanced algorithms, this book covers a broad spectrum of topics including...
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