Artificial Intelligence for Business

Artificial Intelligence for Business
Artificial Intelligence for Business
English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 15 Hours | 7.75 GB

Solve Real World Business Problems with AI Solutions

Structure of the course:

Part 1 – Optimizing Business Processes
Case Study: Optimizing the Flows in an E-Commerce Warehouse
AI Solution: Q-Learning

Part 2 – Minimizing Costs
Case Study: Minimizing the Costs in Energy Consumption of a Data Center
AI Solution: Deep Q-Learning

Part 3 – Maximizing Revenues
Case Study: Maximizing Revenue of an Online Retail Business
AI Solution: Thompson Sampling

With Artificial Intelligence, you can do three main things for any business:

  • Optimize Business Processes
  • Minimize Costs
  • Maximize Revenues

We will show you exactly how to succeed these applications, through Real World Business case studies. And for each of these applications we will build a separate AI to solve the challenge.

In Part 1 – Optimizing Processes, we will build an AI that will optimize the flows in an E-Commerce warehouse.

In Part 2 – Minimizing Costs, we will build a more advanced AI that will minimize the costs in energy consumption of a data center by more than 50%! Just as Google did last year thanks to DeepMind.

In Part 3 – Maximizing Revenues, we will build a different AI that will maximize revenue of an Online Retail Business, making it earn more than 1 Billion dollars in revenue!

But that’s not all, this time, and for the first time, we’ve prepared a huge innovation for you. With this course, you will get an incredible extra product, highly valuable for your career:

“a 100-pages book covering everything about Artificial Intelligence for Business!”.

This book includes:

  • 100 pages of crystal clear explanations, written in beautiful and clean latex
  • All the AI intuition and theory, including the math explained in detail
  • The three Case Studies of the course, and their solutions
  • Three different AI models, including Q-Learning, Deep Q-Learning, and Thompson Sampling
  • Code Templates
  • Homework and their solutions for you to practice
  • Plus, lots of extra techniques and tips like saving and loading models, early stopping, and much much more.

If you want to land a top-paying job or create your very own successful business in AI, then this is the course you need.

Take your AI career to new heights today with Artificial Intelligence for Business — the ultimate AI course to propel your career further.

What you’ll learn

  • OPTIMIZE BUSINESS PROCESSES
  • Master the General AI Framework
  • Implement Q-Learning
  • Save and Load a model
  • Build an Optimization Model
  • Implement Early Stopping
  • Maximize Efficiency
  • MAXIMIZE REVENUES
  • MINIMIZE COSTS
  • Implement Thompson Sampling
  • Implement Deep Q-Learning
  • Leverage AI to make the best decision
  • Build an AI Environment from scratch
  • Implement Online Learning
  • Build an Artificial Brain
  • Implement Regret Analysis
Table of Contents

Introduction
1 Updates on Udemy Reviews
2 Introduction
3 The Book

PART 1 – OPTIMIZING BUSINESS PROCESSES —
4 Welcome to Part 1 – Optimizing Business Process

Case Study
5 Optimizing Business Processes – Step 1
6 Optimizing Business Processes – Step 2
7 Optimizing Business Processes – Step 3
8 Optimizing Business Processes – Step 4

AI Solution
9 Welcome to the Intuition Section
10 Temporal Difference
11 Q-Learning Visualization
12 Plan of Attack
13 What is Reinforcement Learning
14 The Bellman Equation
15 The Plan
16 Markov Decision Process
17 Policy vs Plan
18 Living Penalty
19 Q-Learning Intuition

Implementation
20 Optimizing Business Processes – Step 5
21 Optimizing Business Processes – Step 14
22 Optimizing Business Processes – Step 15
23 Optimizing Business Processes – Step 16
24 Optimizing Business Processes – Step 17
25 Optimizing Business Processes – Step 18
26 Optimizing Business Processes – Step 19
27 Optimizing Business Processes – Step 20
28 Optimizing Business Processes – Step 6
29 Optimizing Business Processes – Step 7
30 Optimizing Business Processes – Step 8
31 Optimizing Business Processes – Step 9
32 Optimizing Business Processes – Step 10
33 Optimizing Business Processes – Step 11
34 Optimizing Business Processes – Step 12
35 Optimizing Business Processes – Step 13

Homework
36 Homework Instruction
37 Homework Solution

PART 2 – MINIMIZING COSTS —
38 Welcome to Part 2 – Minimizing Costs

Case Study
39 Minimizing Costs – Step 1
40 Minimizing Costs – Step 2
41 Minimizing Costs – Step 3

AI Solution
42 Welcome to the Intuition Section
43 Plan of Attack
44 Deep Q-Learning Intuition – Step 1
45 Deep Q-Learning Intuition – Step 2
46 Experience Replay
47 Action Selection Policies

Implementation
48 Minimizing Costs – Step 4
49 Minimizing Costs – Step 13
50 Minimizing Costs – Step 14
51 Minimizing Costs – Step 15
52 Minimizing Costs – Step 16
53 Minimizing Costs – Step 17
54 Minimizing Costs – Step 18
55 Minimizing Costs – Step 19
56 Minimizing Costs – Step 20
57 Minimizing Costs – Step 21
58 Minimizing Costs – Step 22
59 Minimizing Costs – Step 5
60 Minimizing Costs – Step 23
61 Minimizing Costs – Step 24
62 Minimizing Costs – Step 25
63 Minimizing Costs – Step 26
64 Minimizing Costs – Step 27
65 Minimizing Costs – Step 28
66 Minimizing Costs – Step 29
67 Minimizing Costs – Step 30
68 Minimizing Costs – Step 31
69 Minimizing Costs – Step 32
70 Minimizing Costs – Step 6
71 Installing Keras
72 Minimizing Costs – Step 33
73 Minimizing Costs – Step 34
74 Minimizing Costs – Step 35
75 Minimizing Costs – Step 36
76 Minimizing Costs – Step 7
77 Minimizing Costs – Step 8
78 Minimizing Costs – Step 9
79 Minimizing Costs – Step 10
80 Minimizing Costs – Step 11
81 Minimizing Costs – Step 12

Homework
82 Homework Instruction
83 Homework Solution
84 BONUS Dropout

PART 3 – MAXIMIZING REVENUES —
85 Welcome to Part 3 – Maximizing Revenues

Case Study
86 Maximizing Revenues – Step 1
87 Maximizing Revenues – Step 2
88 Maximizing Revenues – Step 3

AI Solution
89 Welcome to the Intuition Section
90 The Multi-Armed Bandit Problem
91 Thompson Sampling Intuition

Implementation
92 Maximizing Revenues – Step 4
93 Maximizing Revenues – Step 13
94 Maximizing Revenues – Step 14
95 Maximizing Revenues – Step 15
96 Maximizing Revenues – Step 16
97 Maximizing Revenues – Step 5
98 Maximizing Revenues – Step 6
99 Maximizing Revenues – Step 7
100 Maximizing Revenues – Step 8
101 Maximizing Revenues – Step 9
102 Maximizing Revenues – Step 10
103 Maximizing Revenues – Step 11
104 Maximizing Revenues – Step 12

Homework
105 Homework Instruction
106 Homework Solution

Annex Artificial Neural Networks
107 Plan of Attack
108 The Neuron
109 The Activation Function
110 How do Neural Networks work
111 How do Neural Networks learn
112 Gradient Descent
113 Stochastic Gradient Descent
114 Back-Propagation


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