Chip Huyen is a co-founder of Claypot AI, a real-time machine learning platform. She has assisted some of the world's largest corporations in developing and deploying machine learning systems through her work with NVIDIA, Netflix, and Snorkel AI. She teaches CS 329S: Machine Learning Systems Design at Stanford, and this book is based on her lecture notes.

Machine learning systems are both complicated and one-of-a-kind. Complex because they are made up of numerous components and involve numerous stakeholders. They are distinct because they are data dependant, with data altering greatly from one use case to the next. Designing Machine Learning Systems will teach you how to develop ML systems that are dependable, scalable, maintainable, and adaptable to changing environments and business requirements.

Claypot AI co-founder and author Chip Huyen evaluates each design decision, such as how to handle and create training data, which features to utilize, how often to retrain models, and what to monitor, in the context of how it might help your system as a whole achieve its goals. The iterative structure in this book is supported by several references.

Designing Machine Learning Systems will assist you in dealing with problems such as:

• Data engineering and selecting the appropriate metrics to address a business problem
• Automating the process of generating, analyzing, deploying, and updating models on a continuous basis.
• Creating a monitoring system to detect and address issues that your models may encounter in production.
• Creating an ML platform that can serve several use cases
• Creating accountable machine learning systems

Author: Chip Huyen

Link to buy: https://www.amazon.com/Designing-Machine-Learning-Systems-Production-Ready/dp/1098107969/

Ratings: 4.9 out of 5 stars (from 17 reviews)

Best Sellers Rank: #3,908 in Books

#1 in Machine Theory (Books)

#1 in Business Intelligence Tools

#1 in Artificial Intelligence (Books)

For almost a decade, Priyanka Vergadia has worked with cloud technologies. She has a master's degree in computer science from the University of Pennsylvania and a bachelor's degree in electronics from India. Priyanka is now a Developer Advocate at Google Cloud, where she works with businesses and cloud architects to solve their most pressing business concerns through the use of cloud computing. She is also an artist, and she has combined her cloud knowledge with visual storytelling to bring you a one-of-a-kind and succinct visual tour of Google Cloud.

The Google Cloud Platform includes dozens of specialized services that allow businesses to transfer their technology needs to the cloud. The Google Cloud Platform enables organizations to scale and grow efficiently, from regular IT operations such as storage to complex new capabilities such as artificial intelligence and machine learning.

Google Cloud expert Priyanka Vergadia presents a completely illustrated, visual guide to connecting the best Google Cloud Platform services to your own unique use cases in Visualizing Google Cloud: Illustrated References for Cloud Engineers & Architects. Following a quick introduction to the primary categories of Google Cloud Platform services, the author proposes around 100 solutions separated into eight types of services:

• Compute
• Storage
• Databases
• Data Analytics
• Data Science, Machine Learning and Artificial Intelligence
• Application Development and Modernization with Containers
• Networking
• Security Networking Security
  

In each category, you'll discover richly detailed flowcharts and decision diagrams with basic explanations, making it simple to adopt and adapt Google's cloud services to your use cases. With coverage of the major cloud model categories—infrastructure, containers, platforms, functions, and serverless—as well as talks of storage kinds, databases, and Machine Learning options, Of course, Visualizing Google Cloud: Illustrated References for Cloud Engineers & Architects is ideal for any Google Cloud aficionado. It is intended for anyone contemplating a cloud migration or new cloud implementation. It is intended for anyone preparing for cloud certification or making the most of Google Cloud. It is intended for cloud solution architects, IT decision-makers, and cloud data and machine learning engineers. In a nutshell, this book is for YOU.

Author: Priyanka Vergadia

Link to buy: https://www.amazon.com/Visualizing-Google-Cloud-Illustrated-References/dp/1119816327/

Ratings: 4.8 out of 5 stars (from 93 reviews)

Best Sellers Rank: #15,016 in Books

#2 in Business Intelligence Tools

#5 in Artificial Intelligence (Books)

#5 in Cloud Computing (Books)

Chris Fregly, AWS's Principal Developer Advocate for AI and Machine Learning (San Francisco) Chris Fregly is an Amazon Web Services (AWS) Principal Developer Advocate for AI and Machine Learning headquartered in San Francisco, California. He is a co-author of "Data Science on AWS," an O'Reilly book.

Antje Barth is an AWS Senior Developer Advocate for AI and Machine Learning (Dusseldorf)

Antje Barth is an Amazon Web Services (AWS) Senior Developer Advocate for AI and Machine Learning headquartered in Düsseldorf, Germany. She is a co-author of "Data Science on AWS," an O'Reilly book.

AI and machine learning practitioners will learn how to successfully create and implement data science projects on Amazon Web Services with this practical book. To help you advance your skills, the Amazon AI and machine learning stack combines data science, data engineering, and application development. This book will show you how to create and run pipelines on the cloud, then integrate the findings into apps in minutes rather than days. Authors Chris Fregly and Antje Barth illustrate how to cut costs while improving performance throughout the book.

• Use the Amazon AI and ML stack to solve real-world problems in natural language processing, computer vision, fraud detection, conversational devices, and other areas.
• With SageMaker Autopilot, employ automated machine learning to implement a subset of use cases.
• Examine the entire model development lifecycle for a BERT-based NLP application, including data acquisition, analysis, model training, and deployment.
• Connect everything into a repeatable machine learning operations pipeline.
• With Amazon Kinesis and Managed Streaming for Apache Kafka, you can do real-time ML, anomaly detection, and streaming analytics on data streams.
• Learn about the best security practices for data science projects and workflows, such as identity and access management, authentication, and authorization.

Data Science on AWS is intended for anyone who utilizes data to make important business decisions. The information provided here will assist data analysts, data scientists, data engineers, machine learning engineers, research scientists, application developers, and DevOps engineers in broadening their grasp of the modern data science stack and improving their cloud abilities. The book is one of the best books on business intelligence tools.

Author: Antje Barth and Chris Fregly

Link to buy: https://www.amazon.com/Data-Science-AWS-End-End/dp/1492079391/

Ratings: 4.4 out of 5 stars (from 119 reviews)

Best Sellers Rank: #25,817 in Books

#3 in Natural Language Processing (Books)

#4 in Business Intelligence Tools

#4 in Computer Vision & Pattern Recognition

Valliappa (Lak) Lakshmanan is Google Cloud's Global Head of Data Analytics and AI Solutions. His team uses Google Cloud's data analytics and machine learning products to provide software solutions for business difficulties. He is the creator of Google's Advanced Solutions Lab ML Immersion program.

Sara Robinson is a Machine Learning Developer Advocate in Google's Cloud Platform team. Through demos, online content, and events, she encourages developers and data scientists to use machine learning into their applications.

Michael Munn is a Google ML Solutions Engineer that works with Google Cloud customers to help them create, implement, and deploy machine learning models. At the Advanced Solutions Lab, he also conducts an ML Immersion Program.

Machine Learning Design Patterns's design patterns record best practices and answers to reoccurring machine learning difficulties. The authors, three Google engineers, list tried-and-true approaches for assisting data scientists with typical challenges encountered during the ML process. These design patterns distill the wisdom of hundreds of experts into simple, understandable advice.

You'll find extensive descriptions of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, adaptability, explainability, and fairness in this book. Each pattern offers a problem description, a number of alternative solutions, and recommendations for selecting the best strategy for your case.

You'll discover how to:

• Identify and prevent common problems encountered while training, evaluating, and deploying machine learning models.
• Represent data for various ML model types, such as embeddings, feature crossings, and others.
• Select the appropriate model type for certain problems.
• Create a strong training loop with checkpoints, a distribution method, and hyperparameter adjustment.
• Deploy scalable machine learning systems that can be retrained and updated to reflect new data.
• Model predictions should be interpreted for stakeholders, and models should treat users properly.

Author: Valliappa Lakshmanan, Sara Robinson and Michael Munn

Link to buy: https://www.amazon.com/Machine-Learning-Design-Patterns-Preparation/dp/1098115783/

Ratings: 4.6 out of 5 stars (from 228 reviews)

Best Sellers Rank: #33,043 in Books

#5 in Business Intelligence Tools

#6 in Machine Theory (Books)

#8 in Mathematical Analysis (Books)

Dave Gray is the Founder and Chairman of XPLANE, a company that specializes in visual thinking. XPLANE, founded in 1993, has grown to become the world's premier consulting and design organization specializing in information-driven communications. Dave devotes his time to visual business research and writing, as well as speaking, coaching, and presenting seminars to educators, corporate customers, and the general public.

Sunni Brown, M.P.A., is the owner of BrightSpot Info Design, a company that uses visual thinking to help organizations and groups succeed. Sunni received graphic facilitation training from The Grove Consultants International, a San Francisco-based firm that pioneered the use of images in meetings and group activities.

As an XPLANE consultant, James Macanufo assists large technology and government clients in developing vision, strategy, and communication plans. He is actively preoccupied with figuring out what things are, how they work, and why they matter.

Great things do not occur in a vacuum. However, building an environment conducive to creative thought and invention can be a challenging task. How can you make it happen in your organization? You might be surprised by the answer: gamestorming.

This book contains over 80 games designed to help you break down boundaries, communicate more effectively, and produce new ideas, insights, and plans. The writers selected methods and strategies used by some of the world's most innovative experts, whose teams collaborate and achieve remarkable things. The outcome is this book: a one-of-a-kind collection of games that foster involvement and creativity while providing greater discipline and clarity in the workplace. Gamestorming can help you figure out why – and how.

• Team-building activities can help you overcome conflict and enhance engagement.
• Visual-thinking strategies can improve collaboration and communication in multidisciplinary teams.
• Enhance comprehension through simulating customer and user interactions.
• Create more and better ideas faster than ever before.
• Meetings should be made shorter and more productive.
• Simulation and investigation of complex systems, interactions, and dynamics
• Determine the core cause of an issue and the paths that lead to a solution.

Author: Dave Gray, Sunni Brown and James Macanufo

Link to buy: https://www.amazon.com/Gamestorming-Playbook-Innovators-Rulebreakers-Changemakers/dp/0596804172/

Ratings: 4.5 out of 5 stars (from 599 reviews)

Best Sellers Rank: #33,748 in Books

#4 in Presentation Software Books

#5 in Information Theory

#6 in Project Management Software Books

Elizabeth Clarke is a seasoned Marketer with a track record of growing brands. Throughout her career, she has developed a strong interest in data visualization and presenting stories with data. Analyzing the numbers, picturing how to improve, and, of course, executing for growth has been the driving force in her career and skill set development.

According to LinkedIn, there has been a 650 percent increase in job growth in data science-related fields since 2012. Not to mention that by 2026, there will be an estimated 11.5 million additional jobs in the field (source: U.S. Bureau of Labor Statistics).

With the globe becoming more remote, and specifically this industry following suit, you can begin and pursue a career in data right now. Where do I begin? What information do I require? What exactly is data analytics? I'm sure one, if not all, of these thoughts have crossed your head. The solution is data literacy. The ability to read, comprehend, and communicate information.

Building a solid foundation of practical knowledge is the first step toward data success. From there, you can ultimately determine which path to take and begin acquiring the necessary expertise. You will finally comprehend towards the end of Everything Data Analytics-A Beginner's Guide to Data Literacy:

• What is the difference between data science, data analytics, and big data?
• The processes of data collection, administration, and storage
• The principles of data cleansing Business intelligence and its significance
• Regression, clustering, classification, and other machine learning methods are essential for analytical...
• Data visualization that works
• Skillsets required for a variety of professional opportunities
• And much more...

You will also receive my free data visualization checklist to ensure that all future visualizations you generate are successful!

Among the best books on business intelligence tools, Everything Data Analytics-A Beginner's Guide to Data Literacy will strengthen your data literacy foundation and set you up for success in one of the most sought-after occupations of the decade, whether you are completely new to the amazing world of data or migrating from your current role.

You may begin your data adventure and finally break that 6-figure milestone in your career for less than the cost of your Friday lunch. You're closer than you realize... Click the buy now button above to get started.

Author: Elizabeth Clarke

Link to buy: https://www.amazon.com/Everything-Analytics-Beginners-Guide-Literacy/dp/1777967139/

Ratings: 4.2 out of 5 stars (from 9 reviews)

Best Sellers Rank: #37,816 in Books

#2 in Other Databases

#3 in Relational Databases

#3 in Oracle Databases

AWS's John Culkin is a senior solutions architect. He has all of the most recent AWS certifications. He was previously a principal cloud architect lead at Cloudreach, where he oversaw the delivery of cloud solutions that were aligned with organizational requirements. He has been a longtime student of technology and now focuses on developing transformational business solutions that utilise cloud services.

Mike Zazon is an AWS senior cloud architect who specializes in assisting enterprise customers in modernizing their operations. He has worked as a cloud software developer, software engineer, software architect, IT manager, and data center architect in the past. While working in some of these jobs at an engineering research university, his love for technology education grew.

This practical resource includes over 70 self-contained recipes to assist you in solving typical AWS difficulties on your cloud journey. If you're familiar with basic scripting and cloud ideas, this cookbook will help you solve essential chores and build high-level capabilities.

Authors John Culkin and Mike Zazon provide real-world examples of optimal practices. In AWS Cookbook, each recipe includes a diagram to help you visualize the ingredients. To guarantee that the solutions function as described, code is provided that you may safely execute in an AWS account. You can then modify the code to assist in the development of an application or to resolve an existing issue. Each recipe also contains a discussion to provide context, explain the technique, and encourage you to go deeper.

Beyond theory, discover the specifics required to create successfully on AWS. You can use the recipes to:

• Using Amazon, remove personally identifying information (PII) from text. Comprehend
• Password rotation for Amazon RDS databases should be automated.
• To verify and debug network pathways, use VPC Reachability Analyzer.
• Amazon Simple Storage Service (S3) buckets must be secured.
• Examine the policies of AWS Identity and Access Management.
• A containerized service can be autoscaled.

Author: Mike ZazonJohn Culkin

Link to buy: https://www.amazon.com/AWS-Cookbook-Recipes-Success/dp/1492092606/

Ratings: 4.7 out of 5 stars (from 86 reviews)

Best Sellers Rank: #62,984 in Books

#16 in Web Services

#17 in Business Intelligence Tools

#42 in Cloud Computing (Books)

Liz Kao has worked as a Professional Services team member as well as an independent Salesforce consultant. She has deployed CRM solutions for both large and small businesses.

Jon Paz is a former editor and Salesforce consultant. He has provided world-class solutions to a wide range of complex business problems for his enterprise clientele.

Salesforce For Dummies, 7th Edition provides you with a competitive advantage in relationship building and managing your company's sales, marketing, customer service, and support activities. You'll discover how to use the new user interface to organize contacts, schedule business appointments, forecast forthcoming sales, create accurate projects based on prior performance, and more. The book is regarded as one of the best books on business intelligence tools.

This updated edition, written by Salesforce.com insiders with years of experience in CRM services, covers the most recent upgrades to Salesforce.com, the world's most popular customer relationship management software. You'll learn how to choose the best setup for your company's needs, as well as how to customize your system with apps, widgets, and tools. You will then investigate prospecting leads, managing accounts and partners, building contacts, tracking merchandise, calculating forecasts, and utilizing service and support.

• Apps, widgets, and tools can be used to personalize the new user interface.
• Lead generation, revenue, and exceptional customer service
• Manage your relationships, uncover opportunities, and evaluate your outcomes.
• Chatter can be used to collaborate with colleagues.
• Salesforce.com is used by over 150,000 businesses worldwide as their CRM system; if you're a new or existing user wishing to leverage the potential of the new UI, this book offers everything you need.

Author: Liz KaoJon Paz

Link to buy: https://www.amazon.com/Salesforce-com-Dummies-Business-Personal-Finance/dp/1119576326/

Ratings: 4.3 out of 5 stars (from 212 reviews)

Best Sellers Rank: #58,136 in Books

#13 in Business Intelligence Tools

#67 in Customer Relations (Books)

#255 in Sales & Selling (Books)

Felix Zumstein is the author and maintainer of xlwings, a popular open-source software for automating Excel with Python on Windows and macOS. He also arranges the xlwings meetups in London and New York to promote a wide range of innovative Excel solutions.

While Excel is still widely used in business, new Microsoft feedback forums are flooded with demands to integrate Python as an Excel scripting language. In fact, it is the most frequently requested feature. What makes this pairing so appealing? Felix Zumstein, the inventor of xlwings, a famous open source program for automating Excel with Python, demonstrates experienced Excel users how to combine these two worlds efficiently in this hands-on approach.

Excel has introduced a lot of new features in the last few years, but its automation language, VBA, has been stagnant for a long time. Python has already been adopted by many Excel power users for regular automation chores. Python for Excel will help you get started.

• Python can be used without substantial programming skills.
• Begin with current technologies like as Jupyter notebooks and Visual Studio code.
• Pandas can be used to obtain, clean, and analyze data, as well as to replace standard Excel calculations.
• Automate time-consuming operations such as Excel workbook consolidation and report generation.
• Create interactive Excel tools that leverage Python as a calculating engine with xlwings.
• Connect Excel to databases and CSV files, and use Python code to retrieve data from the internet.
• Replace VBA, Power Query, and Power Pivot with Python as a single tool.

Author: Felix Zumstein

Link to buy: https://www.amazon.com/Python-Excel-Environment-Automation-Analysis/dp/1492081000/

Ratings: 4.5 out of 5 stars (from 148 reviews)

Best Sellers Rank: #59,602 in Books

#2 in Microsoft VBA

#14 in Business Intelligence Tools

#16 in Spreadsheet Books

In Data Mining for Business Analytics by Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Kenneth C. Lichtendahl, readers will learn how to use R (a free and open-source software) to solve business challenges and possibilities by using a number of popular data mining algorithms.

This is the sixth edition of this popular text, and the first to use R. It includes algorithms for prediction, classification, visualization, dimension reduction, recommender systems, clustering, text mining, and network analysis that are both statistical and machine learning in nature. It also contains:

• Inbal Yahav and Casey Lichtendahl, two new co-authors, contribute expertise in teaching business analytics courses using R as well as data mining consultancy experience in business and government.
• Updates and new material based on input from teachers and students teaching MBA, undergraduate, diploma, and executive courses.
• More than a dozen case studies demonstrating the use of the data mining techniques provided.
• End-of-chapter tasks that assist readers in assessing and expanding their understanding and competency of the subject offered
• A companion website including over two dozen data sets as well as instructional materials such as exercise solutions, PowerPoint slides, and case solutions. www.dataminingbook.com

Among the best books on business intelligence tools, Data Mining for Business Analytics: Concepts, Techniques, and Applications in R is an excellent textbook for graduate and upper-undergraduate data mining, predictive analytics, and business analytics courses. This updated version is also a great resource for analysts, researchers, and practitioners that engage with quantitative approaches in business, finance, marketing, computer science, and information technology.

Author: Galit Shmueli, Peter C. Bruce, Inbal Yahav, Nitin R. Patel, Kenneth C. Lichtendahl

Link to buy: https://www.amazon.com/Data-Mining-Business-Analytics-Applications/dp/1118879368/

Ratings: 4.4 out of 5 stars (from 141 reviews)

Best Sellers Rank: #61,972 in Books

#11 in Econometrics & Statistics

#15 in Business Intelligence Tools

#45 in Information Management (Books)