Alternatif Business

Alternatif Business Library · Handbook · AI & Technology

Machine Learning for Business Leaders
Understand the AI that learns, without the math

Understand the AI that learns, without the math: what machine learning is, how a model learns, supervised, unsupervised and reinforcement learning, key algorithms in plain words, deep learning and generative AI, business use cases, running an ML project, data readiness, measuring models, ethics and regulation, and building ML capability in your organization.

  • Understand What ML is, how models learn and the three main types of learning.
  • Recognize Key algorithms, deep learning and generative AI in plain words.
  • Apply Use cases, project method, data, metrics, ethics and capability building.

One-time payment · Instant download · Secure checkout with PayPal

Machine Learning for Business Leaders cover
30illustrated pages
12tools explained step by step
3classic frameworks explained
$15one-time, instant download

What is inside

4 parts, 12 practical tools.

This handbook explains machine learning in plain language: what it is, how models learn, the main types of learning and algorithms, deep learning and generative AI, and, above all, how to use it in a business — choosing use cases, running projects, preparing data, measuring results, managing risks and building capability. Each chapter includes a worked example from one running case, an AI prompt and the mistakes to avoid.

  1. 1

    Understanding machine learning

    What it is and how machines learn from data.

    What machine learning is · How a model learns · Types of learning

  2. 2

    Algorithms and modern AI

    The main families of models, in plain words.

    Key algorithms in plain words · Deep learning and neural networks · Generative AI and language models

  3. 3

    Machine learning in the business

    From use case to measurable value.

    Use cases by function · Running an ML project · Data readiness · Measuring models

  4. 4

    Responsibility and capability

    Use ML responsibly and build lasting skills.

    Ethics, bias and regulation · Building ML capability

Every tool follows the same structure

What it isplain languageUse it whenthe right momentVisualdiagram or tableHow to apply itnumbered stepsCasePinecrest GrocersAI promptready to pasteWatch outcommon mistakes

Frameworks and real examples

The classics, explained and applied.

Each book connects its practical tools to the well-known models behind them, and shows how real companies applied the same ideas.

Classic frameworks

Machine learningTransformer architectureCRISP-DM

Real-world examples

DeepMind AlphaGoNetflix

Bonus

A 2-page printable cheat sheet with every tool, the method and the checklist.

One case, start to finish

Follow Pinecrest Grocers through the whole book.

Pinecrest Grocers runs 42 supermarkets across Oregon and Washington. Fresh products, about $255M of sales, are ordered by store managers using experience and spreadsheets: some stores run out of produce while others throw too much away. The loyalty programme collects data but it is barely used. Data lead Nathan Cole is asked to show what machine learning can do. The handbook follows his first projects.

stores42
annual sales$610M
of fresh sales lost to waste4.1%
average forecast error on fresh products28%

Before you decide

Who is it for?

Ideal for

  • Managers and professionals who work with data or AI teams
  • Business leaders deciding where to invest in AI
  • Students and career changers who want a clear foundation

Not ideal for

  • Data scientists looking for code or mathematical derivations
  • Readers seeking legal advice on AI regulation
Machine Learning for Business Leaders

Instant access

Machine Learning for Business Leaders

  • Machine Learning for Business Leaders · 30-page illustrated PDF
  • 12 tools, each with a visual, steps, a worked example and an AI prompt
  • A complete printable checklist
  • Worksheet: ML use-case canvas
  • Worksheet: Model monitoring log
  • The whole method summarized on one page
  • 3 classic frameworks explained (origin and use)
  • Real-world examples: DeepMind AlphaGo, Netflix
  • Bonus: 2-page printable cheat sheet
$15USD · one-time payment
Buy now · $15.00Add to cart

Card or PayPal · instant download after payment

One-time payment of $15 USD. Card or PayPal balance.

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  • Help within 1 business day

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Questions

Before you buy

What format is it?

An illustrated PDF of 30 pages (A4), designed to read on screen or print. Worksheets and checklists are included at the end.

How is it delivered?

Right after payment through PayPal you get a private download page, or we email you the link, usually within a few hours. Problems: contact@aydi.ma.

Is it in English?

Yes. All library titles are written in clear, international English.

Is the case study real?

Pinecrest Grocers is a fictional business with consistent figures, built so you can follow every example step by step. The book also includes short, publicly documented examples from well-known companies.

What is the cheat sheet?

A 2-page printable summary (A4 landscape) of every tool, the 7-step method, the classic frameworks and the checklist, delivered with the book.

Can I use it with my team or clients?

Yes, you can apply the methods and print the worksheets for your team and clients. You may not resell or share the file itself.

What is the refund policy?

Sales are final once downloaded, except if a file is damaged and cannot be replaced within 3 business days, if you were charged twice, or if the product is substantially different from its description. Ask within 14 days.

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Machine Learning for Business Leaders$15
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Machine Learning for Business Leaders$15
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