

Elevate Your Career with AI & Machine Learning For Dummies PRO and Start mastering the technologies shaping the future—download now and take the next step in your professional journey!
What are some practical applications of machine learning that can be used by a regular person on their phone?
Machine learning is no longer something only used by tech giants and computer experts, but has many practical applications that the average person can take advantage of from their smartphone. From facial recognition to sophisticated machine learning algorithms that help with day-to-day tasks, Artificial Intelligence (AI) powered machine learning technology has opened up a world of possibilities for regular people everywhere. Whether it’s a voice assistant helping you make appointments and track down important information or automatic text translations that allow people to communicate with those who speak a foreign language, machine learning makes performing various tasks much simpler — a bonus any busy person would be thankful for. With the booming machine learning industry continuing to grow in leaps and bounds, it won’t be long until the power of AI is accessible in our pockets.

There are many practical applications of machine learning (ML) that can be used by regular people on their smartphones. Some examples include:
- Virtual assistants: Many smartphones now include virtual assistants such as Siri, Alexa, and Google Assistant that can use ML to respond to voice commands, answer questions, and perform tasks.
- Image recognition: ML-based image recognition apps can be used to identify and label objects, animals, and people in photos and videos.
- Speech recognition: ML-based speech recognition can be used to transcribe speech to text, dictate text messages and emails, and control the phone’s settings and apps.
- Personalized news and content: ML-based algorithms can be used to recommend news articles and content to users based on their reading history and interests.
- Social media: ML can be used to recommend users to connect with, suggest posts to like, and filter out irrelevant or offensive content.
- Personalized shopping: ML-based algorithms can be used to recommend products and offers to users based on their purchase history and interests.
- Language Translation: Some apps can translate text, speech, and images in real-time, allowing people to communicate effectively in different languages. Read Aloud For Me
- Personalized health monitoring: ML-based algorithms can be used to track and predict user’s sleep, activity, and other health metrics.

Speech Synthesizer, Take Notes and Save via voice, No tracking, Secure, Read For Me without tracking me.
These are just a few examples of the many practical applications of ML that can be used by regular people on their smartphones. As the technology continues to advance, it is likely that there will be even more ways that people can use ML to improve their daily lives.
What are some potential ethical issues surrounding uses of Machine Learning and artificial Intelligence techniques?
There are several potential ethical issues surrounding the use of machine learning and artificial intelligence techniques. Some of the most significant concerns include:
- Bias: Machine learning algorithms can perpetuate and even amplify existing biases in the data they are trained on. This can lead to unfair or discriminatory outcomes, especially in areas such as lending, hiring, and criminal justice.
- Transparency: The inner workings of some machine learning models can be complex and difficult to understand, making it difficult for people to know how decisions are being made and to hold organizations accountable for those decisions.
- Privacy: The collection, use, and sharing of personal data by machine learning models can raise significant privacy concerns. There are also concerns about the security of personal data and the potential for it to be misused.
- Unemployment: As automation and artificial intelligence become more advanced, there is a risk that it will displace human workers, potentially leading to unemployment and economic disruption.
- Autonomy: As AI and Machine Learning systems become more advanced, there are questions about the autonomy of these systems, and how much control humans should have over them.
- Explainability: ML systems used in decision making can be seen as “black boxes” that is hard to understand how they arrive to certain decision. This can make it harder to trust the outcomes.
- Accountability: As AI and ML systems become more prevalent, it will be crucial to establish clear lines of accountability for the decisions they make and the actions they take.
These are just a few examples of the ethical issues surrounding the use of machine learning and artificial intelligence. It is important for researchers, developers, and policymakers to work together to address these issues in a responsible and thoughtful way.
What are some examples of applications for artificial neural networks in business?
Artificial neural networks (ANNs) are a type of machine learning algorithm that are modeled after the structure and function of the human brain. They are well-suited to a wide variety of business applications, including:
- Predictive modeling: ANNs can be used to analyze large amounts of data and make predictions about future events, such as sales, customer behavior, and stock market trends.
- Customer segmentation: ANNs can be used to analyze customer data and group customers into segments with similar characteristics, which can be used for targeted marketing and personalized recommendations.
- Fraud detection: ANNs can be used to identify patterns in financial transactions that are indicative of fraudulent activity.
- Natural language processing: ANNs can be used to analyze and understand human language, which allows for applications such as sentiment analysis, text generation, and chatbot.
- Image and video analysis: ANNs can be used to analyze images and videos to detect patterns and objects, which allows for applications such as object recognition, facial recognition, and surveillance.
- Recommender systems: ANNs can be used to analyze customer data and make personalized product or content recommendations.
- Predictive maintenance: ANNs can be used to analyze sensor data to predict when equipment is likely to fail, allowing businesses to schedule maintenance before problems occur.
- Optimization: ANNs can be used to optimize production processes, logistics, and supply chain.
These are just a few examples of how ANNs can be applied to business, this field is constantly evolving and new use cases are being discovered all the time.
How do you explain the concept of supervised and unsupervised learning to a non-technical audience?
Supervised learning is a type of machine learning where a computer program is trained using labeled examples to make predictions about new, unseen data. The idea is that the program learns from the labeled examples and is then able to generalize to new data. A simple analogy would be a teacher showing a student examples of math problems and then having the student solve similar problems on their own.
Imagine a 24/7 virtual assistant that never sleeps, always ready to serve customers with instant, accurate responses.
Contact us here to book a demo and receive a personalized value proposition
We combine the power of GIS and AI to deliver instant, actionable intelligence for organizations that rely on real-time data gathering. Our unique solution leverages 🍇 GIS best practices and 🍉 Power Automate for GIS integration to collect field data—texts, photos, and geolocation—seamlessly. Then, through 🍊 Generative AI for image analysis, we deliver immediate insights and recommendations right to your team’s inbox and chat tools.
Contact us here to book a demo and receive a personalized value proposition
For example, in image classification, a supervised learning algorithm would be trained with labeled images of different types of objects, such as cats and dogs, and then would be able to identify new images of cats and dogs it has never seen before.
On the other hand, unsupervised learning is a type of machine learning where the computer program is not given any labeled examples, but instead must find patterns or structure in the data on its own. It’s like giving a student a set of math problems to solve without showing them how it was done. For example, in unsupervised learning, an algorithm would be given a set of images, and it would have to identify the common features among them.
A good analogy for unsupervised learning is exploring a new city without a map or tour guide, the algorithm is on its own to find the patterns, structure, and relationships of the data.
Are decision trees better suited for supervised or unsupervised learning and why?
Decision trees are primarily used for supervised learning, because they involve making decisions based on the labeled training data provided. Supervised learning is a type of machine learning where an algorithm is trained on a labeled dataset, where the correct output for each input is provided.
In a decision tree, the algorithm builds a tree-like model of decisions and their possible consequences, with each internal node representing a feature or attribute of the input data, each branch representing a decision based on that attribute, and each leaf node representing a predicted output or class label. The decision tree algorithm uses this model to make predictions on new, unseen input data by traversing the tree and following the decisions made at each node.
While decision trees can be used for unsupervised learning, it is less common. Unsupervised learning is a type of machine learning where the algorithm is not provided with labeled data and must find patterns or structure in the data on its own. Decision trees are less well suited for unsupervised learning because they rely on labeled data to make decisions at each node and therefore this type of problem is generally solved with other unsupervised techniques.
In summary, decision trees are better suited for supervised learning because they are trained on labeled data and make decisions based on the relationships between features and class labels in the training data.
Set yourself up for promotion or get a better job by Acing the AWS Certified Data Engineer Associate Exam (DEA-C01) with the eBook or App below (Data and AI)

Download the Ace AWS DEA-C01 Exam App:
iOS - Android
AI Dashboard is available on the Web, Apple, Google, and Microsoft, PRO version
Can machine learning make a real difference in algorithmic trading?
Yes, machine learning can make a significant difference in algorithmic trading. By analyzing large amounts of historical market data, machine learning algorithms can learn to identify patterns and make predictions about future market movements. These predictions can then be used to inform trading strategies and make more informed decisions about when to buy or sell assets. Additionally, machine learning can be used to optimize and fine-tune existing trading strategies, and to detect and respond to changes in market conditions in real-time.
These are the two areas where machine learning can take over:
Invest in your future today by enrolling in this Azure Fundamentals - Pass the Azure Fundamentals Exam with Ease: Master the AZ-900 Certification with the Comprehensive Exam Preparation Guide!
- AWS Certified AI Practitioner (AIF-C01): Conquer the AWS Certified AI Practitioner exam with our AI and Machine Learning For Dummies test prep. Master fundamental AI concepts, AWS AI services, and ethical considerations.
- Azure AI Fundamentals: Ace the Azure AI Fundamentals exam with our comprehensive test prep. Learn the basics of AI, Azure AI services, and their applications.
- Google Cloud Professional Machine Learning Engineer: Nail the Google Professional Machine Learning Engineer exam with our expert-designed test prep. Deepen your understanding of ML algorithms, models, and deployment strategies.
- AWS Certified Machine Learning Specialty: Dominate the AWS Certified Machine Learning Specialty exam with our targeted test prep. Master advanced ML techniques, AWS ML services, and practical applications.
- AWS Certified Data Engineer Associate (DEA-C01): Set yourself up for promotion, get a better job or Increase your salary by Acing the AWS DEA-C01 Certification.
- Swing finding: intermediate highs and lows.
- Position sizing: actually this is a subset of position sizing. Sometimes, pairs like EURTRY go nowhere for a long time. Rather than piss money away, it makes sense to penalize (reduce) position sizing on certain pairs and increase others.
- Asset allocation and risk management. It can also aid a discretionary trader in picking important factors to consider.
How does technology like facial recognition influence how we understand and use surveillance systems?
Facial recognition technology, which uses algorithms to analyze and compare facial features in order to identify individuals, has the potential to greatly influence how we understand and use surveillance systems. Some of the ways in which this technology can influence the use of surveillance include:
- Increased surveillance: Facial recognition technology can enable more accurate and efficient identification of individuals, which can result in increased surveillance in public spaces and private businesses.
- Privacy concerns: The use of facial recognition technology raises concerns about privacy and civil liberties, as it could enable widespread surveillance and tracking of individuals without their knowledge or consent.
- Biased performance: There have been concerns that facial recognition systems can have a biased performance, particularly when it comes to identifying people of color, women, and children. This can lead to false arrests and other negative consequences.
- Misuse of the technology: Facial recognition technology can be misused by governments or companies for political or financial gain, or to repress or discriminate against certain groups of people.
- Legal challenges: There are legal challenges on the use of facial recognition technology, as it raises questions about the limits of government surveillance and the protection of civil liberties.
Facial recognition technology is a powerful tool that has the potential to greatly enhance the capabilities of surveillance systems. However, it’s important to consider the potential consequences of its use, including privacy concerns and the potential for misuse, as well as the ethical implications of the technology.
What is Google Workspace?
Google Workspace is a cloud-based productivity suite that helps teams communicate, collaborate and get things done from anywhere and on any device. It's simple to set up, use and manage, so your business can focus on what really matters.
Watch a video or find out more here.
Here are some highlights:
Business email for your domain
Look professional and communicate as you@yourcompany.com. Gmail's simple features help you build your brand while getting more done.
Access from any location or device
Check emails, share files, edit documents, hold video meetings and more, whether you're at work, at home or on the move. You can pick up where you left off from a computer, tablet or phone.
Enterprise-level management tools
Robust admin settings give you total command over users, devices, security and more.
Sign up using my link https://referworkspace.app.goo.gl/Q371 and get a 14-day trial, and message me to get an exclusive discount when you try Google Workspace for your business.
Google Workspace Business Standard Promotion code for the Americas
63F733CLLY7R7MM
63F7D7CPD9XXUVT
63FLKQHWV3AEEE6
63JGLWWK36CP7WM
Email me for more promo codes
Active Hydrating Toner, Anti-Aging Replenishing Advanced Face Moisturizer, with Vitamins A, C, E & Natural Botanicals to Promote Skin Balance & Collagen Production, 6.7 Fl Oz
Age Defying 0.3% Retinol Serum, Anti-Aging Dark Spot Remover for Face, Fine Lines & Wrinkle Pore Minimizer, with Vitamin E & Natural Botanicals
Firming Moisturizer, Advanced Hydrating Facial Replenishing Cream, with Hyaluronic Acid, Resveratrol & Natural Botanicals to Restore Skin's Strength, Radiance, and Resilience, 1.75 Oz
Skin Stem Cell Serum
Smartphone 101 - Pick a smartphone for me - android or iOS - Apple iPhone or Samsung Galaxy or Huawei or Xaomi or Google Pixel
Can AI Really Predict Lottery Results? We Asked an Expert.


Djamgatech

Read Photos and PDFs Aloud for me iOS
Read Photos and PDFs Aloud for me android
Read Photos and PDFs Aloud For me Windows 10/11
Read Photos and PDFs Aloud For Amazon
Get 20% off Google Workspace (Google Meet) Business Plan (AMERICAS): M9HNXHX3WC9H7YE (Email us for more)
Get 20% off Google Google Workspace (Google Meet) Standard Plan with the following codes: 96DRHDRA9J7GTN6(Email us for more)
FREE 10000+ Quiz Trivia and and Brain Teasers for All Topics including Cloud Computing, General Knowledge, History, Television, Music, Art, Science, Movies, Films, US History, Soccer Football, World Cup, Data Science, Machine Learning, Geography, etc....

List of Freely available programming books - What is the single most influential book every Programmers should read
- Bjarne Stroustrup - The C++ Programming Language
- Brian W. Kernighan, Rob Pike - The Practice of Programming
- Donald Knuth - The Art of Computer Programming
- Ellen Ullman - Close to the Machine
- Ellis Horowitz - Fundamentals of Computer Algorithms
- Eric Raymond - The Art of Unix Programming
- Gerald M. Weinberg - The Psychology of Computer Programming
- James Gosling - The Java Programming Language
- Joel Spolsky - The Best Software Writing I
- Keith Curtis - After the Software Wars
- Richard M. Stallman - Free Software, Free Society
- Richard P. Gabriel - Patterns of Software
- Richard P. Gabriel - Innovation Happens Elsewhere
- Code Complete (2nd edition) by Steve McConnell
- The Pragmatic Programmer
- Structure and Interpretation of Computer Programs
- The C Programming Language by Kernighan and Ritchie
- Introduction to Algorithms by Cormen, Leiserson, Rivest & Stein
- Design Patterns by the Gang of Four
- Refactoring: Improving the Design of Existing Code
- The Mythical Man Month
- The Art of Computer Programming by Donald Knuth
- Compilers: Principles, Techniques and Tools by Alfred V. Aho, Ravi Sethi and Jeffrey D. Ullman
- Gödel, Escher, Bach by Douglas Hofstadter
- Clean Code: A Handbook of Agile Software Craftsmanship by Robert C. Martin
- Effective C++
- More Effective C++
- CODE by Charles Petzold
- Programming Pearls by Jon Bentley
- Working Effectively with Legacy Code by Michael C. Feathers
- Peopleware by Demarco and Lister
- Coders at Work by Peter Seibel
- Surely You're Joking, Mr. Feynman!
- Effective Java 2nd edition
- Patterns of Enterprise Application Architecture by Martin Fowler
- The Little Schemer
- The Seasoned Schemer
- Why's (Poignant) Guide to Ruby
- The Inmates Are Running The Asylum: Why High Tech Products Drive Us Crazy and How to Restore the Sanity
- The Art of Unix Programming
- Test-Driven Development: By Example by Kent Beck
- Practices of an Agile Developer
- Don't Make Me Think
- Agile Software Development, Principles, Patterns, and Practices by Robert C. Martin
- Domain Driven Designs by Eric Evans
- The Design of Everyday Things by Donald Norman
- Modern C++ Design by Andrei Alexandrescu
- Best Software Writing I by Joel Spolsky
- The Practice of Programming by Kernighan and Pike
- Pragmatic Thinking and Learning: Refactor Your Wetware by Andy Hunt
- Software Estimation: Demystifying the Black Art by Steve McConnel
- The Passionate Programmer (My Job Went To India) by Chad Fowler
- Hackers: Heroes of the Computer Revolution
- Algorithms + Data Structures = Programs
- Writing Solid Code
- JavaScript - The Good Parts
- Getting Real by 37 Signals
- Foundations of Programming by Karl Seguin
- Computer Graphics: Principles and Practice in C (2nd Edition)
- Thinking in Java by Bruce Eckel
- The Elements of Computing Systems
- Refactoring to Patterns by Joshua Kerievsky
- Modern Operating Systems by Andrew S. Tanenbaum
- The Annotated Turing
- Things That Make Us Smart by Donald Norman
- The Timeless Way of Building by Christopher Alexander
- The Deadline: A Novel About Project Management by Tom DeMarco
- The C++ Programming Language (3rd edition) by Stroustrup
- Patterns of Enterprise Application Architecture
- Computer Systems - A Programmer's Perspective
- Agile Principles, Patterns, and Practices in C# by Robert C. Martin
- Growing Object-Oriented Software, Guided by Tests
- Framework Design Guidelines by Brad Abrams
- Object Thinking by Dr. David West
- Advanced Programming in the UNIX Environment by W. Richard Stevens
- Hackers and Painters: Big Ideas from the Computer Age
- The Soul of a New Machine by Tracy Kidder
- CLR via C# by Jeffrey Richter
- The Timeless Way of Building by Christopher Alexander
- Design Patterns in C# by Steve Metsker
- Alice in Wonderland by Lewis Carol
- Zen and the Art of Motorcycle Maintenance by Robert M. Pirsig
- About Face - The Essentials of Interaction Design
- Here Comes Everybody: The Power of Organizing Without Organizations by Clay Shirky
- The Tao of Programming
- Computational Beauty of Nature
- Writing Solid Code by Steve Maguire
- Philip and Alex's Guide to Web Publishing
- Object-Oriented Analysis and Design with Applications by Grady Booch
- Effective Java by Joshua Bloch
- Computability by N. J. Cutland
- Masterminds of Programming
- The Tao Te Ching
- The Productive Programmer
- The Art of Deception by Kevin Mitnick
- The Career Programmer: Guerilla Tactics for an Imperfect World by Christopher Duncan
- Paradigms of Artificial Intelligence Programming: Case studies in Common Lisp
- Masters of Doom
- Pragmatic Unit Testing in C# with NUnit by Andy Hunt and Dave Thomas with Matt Hargett
- How To Solve It by George Polya
- The Alchemist by Paulo Coelho
- Smalltalk-80: The Language and its Implementation
- Writing Secure Code (2nd Edition) by Michael Howard
- Introduction to Functional Programming by Philip Wadler and Richard Bird
- No Bugs! by David Thielen
- Rework by Jason Freid and DHH
- JUnit in Action
#BlackOwned #BlackEntrepreneurs #BlackBuniness #AWSCertified #AWSCloudPractitioner #AWSCertification #AWSCLFC02 #CloudComputing #AWSStudyGuide #AWSTraining #AWSCareer #AWSExamPrep #AWSCommunity #AWSEducation #AWSBasics #AWSCertified #AWSMachineLearning #AWSCertification #AWSSpecialty #MachineLearning #AWSStudyGuide #CloudComputing #DataScience #AWSCertified #AWSSolutionsArchitect #AWSArchitectAssociate #AWSCertification #AWSStudyGuide #CloudComputing #AWSArchitecture #AWSTraining #AWSCareer #AWSExamPrep #AWSCommunity #AWSEducation #AzureFundamentals #AZ900 #MicrosoftAzure #ITCertification #CertificationPrep #StudyMaterials #TechLearning #MicrosoftCertified #AzureCertification #TechBooks
Top 1000 Canada Quiz and trivia: CANADA CITIZENSHIP TEST- HISTORY - GEOGRAPHY - GOVERNMENT- CULTURE - PEOPLE - LANGUAGES - TRAVEL - WILDLIFE - HOCKEY - TOURISM - SCENERIES - ARTS - DATA VISUALIZATION

Top 1000 Africa Quiz and trivia: HISTORY - GEOGRAPHY - WILDLIFE - CULTURE - PEOPLE - LANGUAGES - TRAVEL - TOURISM - SCENERIES - ARTS - DATA VISUALIZATION

Exploring the Pros and Cons of Visiting All Provinces and Territories in Canada.

Exploring the Advantages and Disadvantages of Visiting All 50 States in the USA

Health Health, a science-based community to discuss human health
- NIH announces it's slashing funding for indirect research costsby /u/nbcnews on February 9, 2025 at 3:31 pm
submitted by /u/nbcnews [link] [comments]
- Victorian chicken farm in quarantine after highly pathogenic strain of bird flu detectedby /u/boppinmule on February 9, 2025 at 3:32 am
submitted by /u/boppinmule [link] [comments]
- Coroner issues warning after 20-year-old mother dies inhaling heliumby /u/Forward-Answer-4407 on February 8, 2025 at 5:15 pm
submitted by /u/Forward-Answer-4407 [link] [comments]
- As bird flu spreads, so do fears of a ‘nightmare scenario’by /u/HealthGent on February 8, 2025 at 3:09 pm
submitted by /u/HealthGent [link] [comments]
- Can’t find a therapist? NH clinicians say insurance companies are partly to blameby /u/Maxcactus on February 8, 2025 at 9:58 am
submitted by /u/Maxcactus [link] [comments]
Today I Learned (TIL) You learn something new every day; what did you learn today? Submit interesting and specific facts about something that you just found out here.
- TIL: The highest number counted to out loud was 1 million. It took him 89 days with each day averaging just over 11,200 numbers per dayby /u/jisharpmusic on February 9, 2025 at 3:04 pm
submitted by /u/jisharpmusic [link] [comments]
- TIL that male porcupines pee on female porcupines in order to determine if the female is readyby /u/CaptainMetronome222 on February 9, 2025 at 2:56 pm
submitted by /u/CaptainMetronome222 [link] [comments]
- TIL capuchin monkeys show an unusual reaction to mirrors - females make friendly gestures toward their reflections, while males often appear confused or distressed, sometimes curling up or trying to escape entirely.by /u/MrInexorable on February 9, 2025 at 2:43 pm
submitted by /u/MrInexorable [link] [comments]
- TIL in the 1950s, WHO sprayed DDT in Borneo to fight malaria, inadvertently killing cats. This led to a rat surge and outbreaks of typhus and plague. To counter this, the RAF parachuted 14,000 cats in "Operation Cat Drop."by /u/HentaiUwu_6969 on February 9, 2025 at 2:36 pm
submitted by /u/HentaiUwu_6969 [link] [comments]
- TIL a student wore the same pair of jeans 330 times over 15 months without washing them, then after washing them, wore them another 13 days. A textile scientist had tested the jeans for bacteria both after the 15 months (pre-wash) & after the 13 days. Little difference in bacterial count was found.by /u/tyrion2024 on February 9, 2025 at 1:56 pm
submitted by /u/tyrion2024 [link] [comments]
Reddit Science This community is a place to share and discuss new scientific research. Read about the latest advances in astronomy, biology, medicine, physics, social science, and more. Find and submit new publications and popular science coverage of current research.
- Gut bacteria may be the key to much more effective vitiligo treatment | A new treatment showing positive results on mice with the malady, and it utilizes a natural substance produced by beneficial gut bacteria.by /u/chrisdh79 on February 9, 2025 at 1:29 pm
submitted by /u/chrisdh79 [link] [comments]
- Minimizing the consumption of animal products and oil may be an effective strategy to reduce hot flashes in postmenopausal women, randomized controlled trial suggestsby /u/James_Fortis on February 9, 2025 at 1:16 pm
submitted by /u/James_Fortis [link] [comments]
- New study found that the average American, regardless of their own political party, believes Democrats and Republicans approve of extreme members more than moderate members. Americans also believe political parties view extreme members as more loyal and more principled than moderate members.by /u/mvea on February 9, 2025 at 11:13 am
submitted by /u/mvea [link] [comments]
- A set of Stone Age artifacts have revealed evidence of advanced cognitive and symbolic behavior among prehistoric humans. Research has demonstrated that stone artifacts found in certain caves in the Levant were deliberately engraved with geometric patterns.by /u/Wagamaga on February 9, 2025 at 7:56 am
submitted by /u/Wagamaga [link] [comments]
- A new study finds that extreme weather events (floods, storms, and wildfires) could significantly amplify financial losses due to firms' debt burdens.by /u/calliope_kekule on February 9, 2025 at 4:01 am
submitted by /u/calliope_kekule [link] [comments]
Reddit Sports Sports News and Highlights from the NFL, NBA, NHL, MLB, MLS, and leagues around the world.
- Grizzlies star Ja Morant's father ejected for berating refsby /u/PrincessBananas85 on February 9, 2025 at 4:00 pm
submitted by /u/PrincessBananas85 [link] [comments]
- I'm making a baseball game called Indoor Baseball. Smash home runs out the window, bean the baserunner, and throw wicked curveballs in various rooms of the house!by /u/snowdaysoftware on February 9, 2025 at 4:00 pm
submitted by /u/snowdaysoftware [link] [comments]
- Saints expected to name Eagles' Kellen Moore head coachby /u/Oldtimer_2 on February 9, 2025 at 4:13 am
submitted by /u/Oldtimer_2 [link] [comments]
- Curry scores 34 points, Butler adds 25 in Golden State debut as Warriors rally to beat Bulls 132-111by /u/Oldtimer_2 on February 9, 2025 at 4:08 am
submitted by /u/Oldtimer_2 [link] [comments]
- Austin Reaves enters hallowed Lakers territory with his 45-point barrage against the Pacersby /u/Oldtimer_2 on February 9, 2025 at 2:58 am
submitted by /u/Oldtimer_2 [link] [comments]