On January 2, 2024, Australia’s Court Services Victoria announced that there had been a breach of cyber security, which might have led to the sharing of audiovisual content. Thaudio-visual has impacted audiovisual technology networks, which has impacted video recordings, audio recordings, and transcription services. It was reported that there is a high possibility that video […]

The post Victoria Court Data Breach- Know What Happened! appeared first on The Encrypt – Tech News & Updates.

Who does not want to have a successful bootstrapped startup? After all, we all want to be addressed as the entrepreneur of the year and build a business which is one of a kind. But is it always possible to get such excellent results without being proactive?  Some practical tips can help you to make […]

The post 7 Cost-Effective Ways – Bootstrapped Startup Growth appeared first on The Encrypt – Tech News & Updates.

Worldcoin is a great blend of AI, cryptocurrency, and blockchain technology. Worldcoin has been the talk of every town since its official launch in July 2023. But what comes along with this unique cryptocurrency? Is a digital revolution with its pros or just a utopian mirage, an unrealistic vision of a financial platform? Well, let […]

The post What Is Worldcoin: An Upcoming Revolution appeared first on The Encrypt – Tech News & Updates.

As the market of cryptocurrencies continues to thrive day by day, so does the complexity of crypto tax obligations for investors and traders.  However, with the rise in the popularity of cryptocurrency, governments around the words are tightening their grip on the taxation of cryptocurrencies. Governments have been implementing guidelines and regulations for their calculation.  […]

The post Top 5 Crypto Tax Calculators in 2023 appeared first on The Encrypt – Tech News & Updates.

Artificial Intelligence is a revolutionary technology. From generating several pages of text content in seconds to building highly functional chatbots, it is redefining automation. With Generative AI in pictures, it is also possible to generate images. There are many AI image generator tools with the features of creating art. The AI-generated art and images are […]

The post AI Image Generator Tools in 2023- Top 10 Free Tools appeared first on The Encrypt – Tech News & Updates.

Finding good apps and learning how to use them can be a game changer. But did you know that developing good apps is easy now? With the Android platform making great strides forward, we can safely say that even iOS has not compromised its efficacy. You must have heard about iPhone app development tools. Why […]

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Cloud computing as a technological advancement has made lives better for every e-commerce and retail business sector. If you compare it with the traditional methods, cloud computing takes a giant leap forward because it saves time. As an e-commerce business, if you want to expand further and ensure that you can have more sustainable growth, […]

The post <strong>Cloud Computing For E-commerce: How It Can Boost Your Online Business?</strong> appeared first on The Encrypt – Tech News & Updates.

Peer-to-peer fraud, or P2P fraud, is when thieves utilize peer-to-peer payment systems to steal money from legitimate users. They accomplish this through various methods, including overpayment frauds and the theft of login information (using strategies like phishing assaults). P2P payment fraud takes advantage of the near real-time nature of payments made using P2P apps, such […]

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Hey Friend,

Over the past few years, we’ve shared exciting developments in AI.

In the last year, the world of Conversational AI and Chatbots has exploded and I’d love to share my insights and for you to be part of this wave.

As the founder of ChatbotsLife, BecomingHuman.Ai, I’m thrilled to personally invite you to my session today on “Understanding the Limitations of LLMs & How to Build Next Gen AI-Bots.”

This session is part of a bigger show! Here is what the Morning Agenda Looks like:

Agenda:

1. 9:00 am: Welcome Talk & Overview by me, Stefan Kojouharov.
2. 9:10 am — 9:45 am: Insights from Krish Ramineni, the dynamic Co-founder & CEO of Fireflies.ai, as he discusses one of the fastest-growing AI companies.
3. 9:45 am — 10:15 am: The Big Picture Panel, where I’ll be moderating a conversation with experts like Arte Merritt (Reconfiy) & Austin Bedford (CUX) on the broader landscape of Chatbots.
4. 10:15 am — 10:45 am: How Startups and SMBs are Using LLMs in Their Chatbot by Braden Ream, the CEO of Voiceflow.
5. >> 10:55 am — 11:30 am: My session on the potential and challenges of LLMs in shaping the next generation of AI bots. <<<

I’ve managed to secure a limited number of free passes to these morning sessions exclusively for our BecomingHuman.AI readers.

These passes are on a first-come-first-serve basis, so act fast!

>>>. ZOOM LINK: https://us06web.zoom.us/j/82208233860?pwd=Kk2pnoel-MrJ4O5RvWGUKLXT930Wsg.mj3cKynJrsu_oyT8
Passcode: 095260

Dive into the vibrant world of Conversational AI with us this morning. Whether you’re a novice or a seasoned AI enthusiast, I believe these sessions will offer you fresh perspectives and insights.

Looking forward to sharing this experience with you!

Warm regards,

Stefan Kojouharov

Founder, ChatbotsLife & BecomingHuman.AI

Exclusive Invitation: Join My Talk on AI-Bots This Morning! was originally published in Becoming Human: Artificial Intelligence Magazine on Medium, where people are continuing the conversation by highlighting and responding to this story.

Introduction

In the world of data science and machine learning, logistic regression is a powerful and widely-used algorithm. Despite its name, it has nothing to do with handling logistics or moving goods. Instead, it is a fundamental tool for classification tasks, helping us predict whether something belongs to one of two categories, like yes/no, true/false, or spam/not spam. In this blog, we will break down the concept of logistic regression and explain it as simply as possible.

What is Logistic Regression?

Logistic regression is a type of supervised learning algorithm. The term “regression” might be misleading, as it is not used for predicting continuous values like in linear regression. Instead, it deals with binary classification problems. In other words, it answers questions that can be answered with a simple “yes” or “no.”

Imagine you are an admissions officer at a university, and you want to predict whether a student will be admitted based on their test scores. Logistic regression can help you make that prediction!

The Sigmoid Function

At the core of logistic regression lies the sigmoid function. It may sound complex, but it’s just a mathematical function that squashes any input to a value between 0 and 1.

The formula for the sigmoid function is:

Where:

• z is the input to the function.

Let’s visualize it:

As you can see, the sigmoid function maps large positive values of z close to 1 and large negative values close to 0. When z = 0, sigmoid(z) is exactly 0.5.

Making Predictions

Now, we understand the sigmoid function, but how does it help us make predictions?

In logistic regression, we assign a score to each data point, which is the result of a linear combination of the input features. Then, we pass this score through the sigmoid function to obtain a probability value between 0 and 1.

Mathematically, the score z is calculated as:

Where:

• Betas (beta_0, beta_1, beta_2, … , beta_n) are coefficients (weights) that the algorithm learns from the training data.
• beta_0 is commonly known as the bias weight.
• X (x_1, x_2, … , x_n) are the input features of a data point.

Once we have the probability sigmoid(z), we can interpret it as the likelihood of the data point belonging to the positive class (e.g., admission).

Setting a Threshold

Since logistic regression gives us probabilities, we need to make a decision based on those probabilities. We do this by setting a threshold, usually at 0.5. If sigmoid(z) is greater than or equal to 0.5, we predict the positive class; otherwise, we predict the negative class.

Conclusion

In summary, logistic regression is a simple but effective algorithm for binary classification problems. It uses the sigmoid function to map the scores to probabilities, making it easy to interpret the results.

Remember, logistic regression is just one piece of the vast and exciting field of machine learning, but it’s a crucial building block in your data science journey. Happy classifying!

TLDR: Key Takeaways for the Logistic Regression Blog:

1. Logistic Regression for Binary Classification: Logistic regression is a powerful algorithm used for binary classification tasks. It helps predict whether something belongs to one of two categories, making it ideal for yes/no, true/false, or spam/not spam scenarios.

2. Sigmoid Function: At the heart of logistic regression lies the sigmoid function, which maps input values to probabilities between 0 and 1. This function is critical in converting the linear combination of input features into a probability score.

3. Probability Interpretation: Unlike other regression methods, logistic regression produces probabilities instead of continuous values. These probabilities represent the likelihood of a data point belonging to the positive class, allowing for a clear understanding of the model’s predictions.

4. Threshold Setting: To make actual predictions, a threshold is set (usually 0.5). If the predicted probability is greater than or equal to the threshold, the positive class is predicted; otherwise, the negative class is predicted. Adjusting the threshold can impact the model’s precision and recall trade-off.

5. Fundamental Building Block: Logistic regression is a fundamental concept in the world of machine learning and serves as a basis for more complex algorithms. Understanding logistic regression lays the groundwork for tackling more advanced classification problems and exploring a wider range of data science applications.

By grasping these key takeaways, you can appreciate the simplicity and significance of logistic regression in solving binary classification tasks and embark on your journey to explore the fascinating field of machine learning further.

Thank you for reading and I hope this post is useful to you. Any comments or feedback is greatly appreciated.

My name is WeiQin Chuah (aka Wei by most of my colleagues) and I am a Research Fellow at RMIT University, Melbourne, Australia. My research focuses on developing robust deep learning models for solving computer vision problems. You can find more about me on my LinkedIn page.

Demystifying Logistic Regression: A Simple Guide was originally published in Becoming Human: Artificial Intelligence Magazine on Medium, where people are continuing the conversation by highlighting and responding to this story.