Machine Learning Data Science

Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.

Data science is the application of a combination of mathematical, statistical, analytical, and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is. The job of such a scientist is trending all over the world. The demand for such scientists is huge, more than the number of available candidates. Data science is a field of study that is growing at a fast pace. From big tech companies to E-commerce companies to websites and many others are now relying on data science.

Master machine learning and Python basics without math anxiety to fast-track your career transition today. Whether you are upskilling during your morning commute or exploring a professional pivot, this audio-first bootcamp demystifies complex tech into accessible concepts. Leave the intimidating...

Master the core data science mathematics powering modern machine learning without drowning in dense academic proofs. Perfect for your daily commute, this accessible and empowering guide transforms abstract algorithms into intuitive concepts. Whether you are prepping for a technical interview or...

Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.

Master data analytics and machine learning without the overwhelming math or confusing technical jargon. Whether you are upskilling during your morning commute or transitioning into a tech career, this empowering audio experience makes complex concepts instantly approachable. Transform your...

A collection of shockingly prescient stories covering topics from aliens to AI, including some that have never before been seen, from the New York Times bestselling author of the Silo trilogy Hugh Howey is known for crafting riveting and immersive page-turners of boundless imagination, spawning...

Conquer big data and artificial intelligence without writing a single line of code in this empowering, practical guide. If you feel left behind by the rapid pace of tech innovation, this friendly resource transforms complex statistics and machine learning into easily digestible mental models...

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

As tech products become more prevalent today, the demand for machine learning professionals continues to grow. But the responsibilities and skill sets required of ML professionals still vary drastically from company to company, making the interview process difficult to predict. In this guide, data science leader Susan Shu Chang shows you how to tackle the ML hiring process. She'll take you through the highly selective recruitment process by sharing hard-won lessons she learned along the way.

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether...

The AI Entrepreneur: Launching Your Machine Learning Startup Artificial Intelligence isn’t just the future—it’s the present. From personalized recommendations to autonomous vehicles, from fraud detection to intelligent automation, AI is transforming every industry. For aspiring entrepreneurs, the rapid evolution of machine learning and AI offers more than just opportunity—it presents a frontier of innovation waiting to be explored. The AI Entrepreneur: Launching Your Machine Learning Startup is your comprehensive, practical guide to turning cutting-edge technology into a scalable ...

Are you looking for a beginners guide? Do you want to learn how to use python for beginners in a simple way? Do you want to enter into the new world of Python for beginners in an efficient and effective way? This book will teach you the basics as well as the advanced concepts of computers and programming. The gaming industry is growing rapidly and Python offers a lot of libraries to create games. Many tech giants rely on Python to deliver world-class applications. In This book you will learn: Basics of Python for Data Analysis NumPy 2-D and 3-D arrays SciPy Linear Algebra ...

If you want to learn about business intelligence and predictive analytics, then keep reading... Two manuscripts in one book: Business Intelligence: An Essential Beginner’s Guide to BI, Big Data, Artificial Intelligence, Cybersecurity, Machine Learning, Data Science, Data Analytics, Social Media and Internet Marketing Predictive Analytics: The Secret to Predicting Future Events Using Big Data and Data Science Techniques Such as Data Mining, Predictive Modelling, Statistics, Data Analysis, and Machine LearningIn the modern business world, the pace of action continues to quicken. Businesses ...

In her second week at a logistics startup, a bootcamp graduate received a ticket that read, simply, “add machine learning to flag late shipments.” She spent two days searching for a model to download before a senior engineer asked one question: how do late shipments get labeled today? The answer was sitting in a single column of the orders table. The ticket needed a SQL query and an alert, not a neural network. She had reached for machine learning because the word was in the ticket — not because the problem required it. That story is where most ML introductions fail the people who ...

Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. 

Are your data engineering and analytics teams overwhelmed by a fragmented ecosystem that makes generating actionable business insights nearly impossible? Today, enterprises are generating more data than ever, but most are paralyzed by disjointed tools, isolated data lakes, and complex multi-cloud architectures. When your data scientists and business analysts are forced to operate in silos using disconnected systems, the result is crippling inefficiency. This duplication of effort leads to the proliferation of Shadow IT, exorbitant costs from unshared computing resources, and massive ...

Inside this book, readers will learn how to: Apply a five-question framework before writing a single line of architecture — identifying what decision the system supports, who consumes its output, how fresh that output must be, what a wrong output costs, and what the system does when it is unavailable Design the data layer for ML workloads from first principles — covering data contracts, schema versioning, lineage tracking, and the boundary discipline that prevents the silent cross-team failures most ML incidents trace back to Build feature engineering pipelines with point-in-time ...

*Start your Data Science career using Python today!* Want to begin a new lucrative career as a Data Scientist? Learn to solve real world problems using Artificial Intelligence and Machine Learning skills – with step-by-step instructions and downloadable code samples! Are you interested in becoming a Data Scientist but overwhelmed by the complexity and don’t know where to start? Then let this breezy and fun little book on Python and machine learning models make you a data scientist in 7 days! This book is for beginners who would like to master predictive analytics and obtain a job in ...