Category Archives: Machine Learning

Tail Spend Management & Spend Analytics

Tail spend analysis and analytics and machine learning

Do you know where your business is spending its money? And more importantly, do you know where your business SHOULD be spending its money? Many businesses don’t have a good handle on their tail spend – the money that’s spent on things that are not essential to the core operations of the company. Tail spend can be difficult to track and manage, but with the help of spend analytics tools and machine learning, it’s becoming easier than ever before. In this blog post, we’ll discuss what tail spend is, how to track it, and how to use analytics and machine learning to make better decisions about where to allocate your …

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Posted in Data analytics, Data Science, Machine Learning, Procurement. Tagged with , , .

Healthcare & Machine Learning Use Cases / Projects

List of machine learning topics for learning

AI & Machine learning is being used more and more in the healthcare industry. This is because it has the potential to improve patient outcomes, make healthcare more cost-effective, and help with other important tasks. In this blog post, we will discuss some of the healthcare & AI / machine learning use cases that are currently being implemented. We will also talk about the benefits of using machine learning in healthcare settings. Stay tuned for an exciting look at the future of healthcare! What are top healthcare challenges & related AI / machine learning use cases? Before getting into understand how machine learning / AI can be of help in …

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Posted in AI, Data analytics, Data Science, Healthcare, Machine Learning. Tagged with , , , .

Marketing Analytics Machine Learning Use Cases

marketing analytics machine learning use cases

If you’re like most business owners, you’re always looking for ways to improve your marketing efforts. You may have heard about marketing analytics and machine learning, but you’re not sure how they can help you. Marketing analytics is an essential tool for modern marketers. In this blog post, we will discuss some of the ways marketing analytics and AI / machine learning / Data science can be used to improve your marketing efforts. We’ll also give some real-world examples of how these technologies are being used by businesses today. So, if you’re ready to learn more about marketing analytics and machine learning, keep reading! What is marketing and what are …

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Posted in AI, Data, Data analytics, Data Science, Machine Learning, Marketing. Tagged with , , , , .

Machine Learning Use Cases for Climate Change

Climate change is a serious issue facing the world. The climate changes which are already affecting our planet can be seen in rising sea levels, melting ice caps and glaciers, more severe storms and hurricanes, more droughts, and wildfires increased precipitation in some areas of the world while other regions experience less rainfall. It’s important that we do what we can to reduce climate change risks by reducing greenhouse gas emissions into the atmosphere as well as adapting to climate impacts. Artificial intelligence (AI), machine learning (ML)/ deep learning (DL), data science, advanced analytics have been widely used for decades across different industries such as finance, healthcare, etc., but their …

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Posted in Climate Change, Data Science, Machine Learning. Tagged with , .

What is Human Data Science?

what is human data science

There’s a lot of buzz around the term “human data science.” What is it, and why should you care? Human data science is a relatively new field that combines the study of humans with the techniques of data science. By understanding human behavior and using big data techniques, unique and actionable insights can be obtained that weren’t possible before. In this blog post, we’ll discuss what human data science is and give some examples of how it’s being used today. What is human data science? Human data science is the study of humans using data science techniques. It’s a relatively new field that is growing rapidly as we learn more …

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Posted in AI, Data, Data analytics, Data Science, Machine Learning. Tagged with , , .

Pricing Optimization & Machine Learning Techniques

pricing optimization and machine learning use cases

Pricing is a critical component of price optimization. In this blog post, we will dive into pricing optimization techniques and machine learning use cases. Price optimization techniques are used to optimize pricing for products or services based on customer response. AI / Machine learning can be leveraged in pricing optimization by using predictive analytics to predict consumer demand patterns and identify optimal prices for a products or services at a given time in the future. What is pricing optimization? Price optimization is a process where businesses use price discrimination to maximize revenue from customers. It is the process of pricing goods and services to maximize profits by taking into account …

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Posted in Machine Learning, Optimization. Tagged with , .

Cash Forecasting Models & Treasury Management

cash forecasting models methods treasury management

As a business owner, you are constantly working to ensure that your company has the cash it needs to operate. Cash forecasting is one of the most important aspects of treasury management, and it’s something that you should be paying attention to. Cash forecasting is a great example of where machine learning can have a real impact. By using historical data, we can build models that predict future cash flow for a company. This enables treasury managers to make better decisions about how to allocate resources and manage risks. As data scientists or machine learning engineers, it is important to be able to understand and explain the business value of …

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Posted in AI, Data, Data analytics, Data Science, Machine Learning. Tagged with , , .

Accounts Payable Machine Learning Use Cases

accounts payables machine learning use cases

The machine learning for accounts payable market is expected to grow from $6.1 million in 2016 to $76.8 million by 2021, at a compound annual growth rate (CAGR) of 53 percent. The software industry is rapidly embracing machine learning for account payable. As account payable becomes more automated, it also becomes more data-driven. Machine learning is enabling account payables stakeholders to leverage powerful new capabilities in this arena. In this blog post, you will learn machine learning / deep learning / AI use cases for account payable. What is Accounts Payable? Account payable is a crucial part of the business process because it helps to ensure that businesses have the …

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Posted in Accounts Payable, Machine Learning. Tagged with .

85+ Free Online Books, Courses – Machine Learning & Data Science

Machine Learning Books

This post represents a comprehensive list of 85+ free books/ebooks and courses on machine learning,  deep learning, data science, optimization, etc which are available online for self-paced learning.  This would be very helpful for data scientists starting to learn or gain expertise in the field of machine learning / deep learning. Please feel free to comment/suggest if I missed mentioning one or more important books that you like and would like to share. Also, sorry for the typos. Following are the key areas under which books are categorized: Data science Pattern Recognition & Machine Learning Probability & Statistics Neural Networks & Deep Learning Optimization Data mining Mathematics Here is my post …

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Posted in Big Data, Books, Career Planning, Data Science, Deep Learning, Machine Learning, Online Courses. Tagged with , , , .

Tensor Explained with Python Numpy Examples

Tensors are a hot topic in the world of data science and machine learning. But what are tensors, and why are they so important? In this post, we will explain the concepts of Tensor using Python Numpy examples with the help of simple explanation. We will also discuss some of the ways that tensors can be used in data science and machine learning. When starting to learn deep learning, you must get a good understanding of the data structure namely tensor as it is used widely as the basic data structure in frameworks such as tensorflow, PyTorch, Keras etc. Stay tuned for more information on tensors! What are tensors, and why are …

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Posted in Data Science, Deep Learning, Machine Learning, Python. Tagged with , , .

Supplier Relationship Management & Machine Learning / AI

supplier relationship management machine learning

Supplier relationship management (SRM) is the process of managing supplier relationships to develop and maintain a strategic procurement partnership. SRM includes focus areas such as supplier selection, procurement strategy development, procurement negotiation, and performance measurement and improvement. SRM has been around for over 20 years but we are now seeing new technologies such as machine learning come into play. What exactly does advanced analytics such as artificial intelligence (AI) / machine learning (ML) have to do with SRM? And how will AI/ML technologies transform procurement? What are some real-world machine learning use cases related to supplier relationships management? What are a few SRM KPIs/metrics which can be tracked by leveraging …

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Posted in Artificial Intelligence, Data Science, Machine Learning, Procurement. Tagged with , , .

Artificial Intelligence (AI) for Telemedicine: Use cases, Challenges

In this post, you will learn about different artificial intelligence (AI) use cases of Telemedicine / Telehealth including some of key implementation challenges pertaining to AI / machine learning. In case you are working in the field of data science / machine learning, you may want to go through some of the challenges, primarily AI related, which is thrown in Telemedicine domain due to upsurge in need of reliable Telemedicine services. What is Telemedicine? Telemedicine is the remote delivery of healthcare services, using digital communication technologies. It has the potential to improve access to healthcare, especially in remote or underserved communities. It can be used for a variety of purposes, including …

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Posted in AI, Data Science, Healthcare, Machine Learning, Telemedicine. Tagged with , , , , , .

Digital Healthcare Technology & Innovations: Examples

digital health technology and innovations

Digital healthcare technology is making waves in the medical community. It has the potential to change the way we approach healthcare, and it is already starting to revolutionize the way patients are treated. In this blog post, we will explore some of the most exciting digital healthcare technologies including AI / machine learning & blockchain based applications, initiatives and innovations. We will also take a look at some real-world examples of how these technologies are being used to improve patient care. Digital health refers to the use of digital technology to improve the delivery of healthcare services. Connected health (also known as i-health) is a term that encompasses all digital …

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Posted in AI, BlockChain, digital transformation, Healthcare, Machine Learning. Tagged with , , .

Scatter plot Matplotlib Python Example

Scatter Plot representing Two Classes

If you’re a data scientist, data analyst or a Python programmer, data visualization is key part of your job. And what better way to visualize all that juicy data than with a scatter plot? Matplotlib is your trusty Python library for creating charts and graphs, and in this blog we’ll show you how to use it to create beautiful scatter plots using examples and with the help of Matplotlib library. So dig into your data set, get coding, and see what insights you can uncover!  What is a Scatter Plot? A scatter plot is a type of data visualization that is used to show the relationship between two variables. Scatter …

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Posted in AI, Data Science, Machine Learning. Tagged with , , .

Why AI & Machine Learning Projects Fail?

AI and machine learning solution approaches

AI / Machine Learning and data science projects are becoming increasingly popular for businesses of all sizes. Every organization is trying to leverage AI to further automate their business processes and gain competitive edge by delivering innovative solutions to their customers. However, many of these AI & machine learning projects fail due to various different reasons. In this blog post, we will discuss some of the reasons why AI / Machine Learning / Data Science projects fail, and how you can avoid them. The following are some of the reasons why AI / Machine learning projects fail: Lack of understanding of business problems / opportunities Ineffective solution design approaches Lack …

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Posted in AI, Data Science, Machine Learning.