#MachineLearningAlgorithm

[womaneng]

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🚀Motivation comes from the sense of longing something or someone. May it be in terms of money, affluence or to woo someone 😇

🌟Start asking yourself Questions like:

📍Are you happy with your current situation? Is this the best that you can do?

Question this to yourself whenever you are weary.

If the answer to the above question is yes, then set new goals. Raise your bar.

But if you have the answer as No, then here are some things that you can do.

1. Focus on what you want more. There has to be something that you would want far more than others. Set that as your target.

2. Make it fun. Believe me you don’t want to do what you dont like.

3. Treat yourself with every step closer to your goal.

4. Fill yourself with a positive attitude. Always hope for better for that is one thing that gives us strength to move forward.

5. Once achieved your goal, set a new target.

The most important thing in life is moving forward; doing things that we haven’t. The thrill of the unknown and variety of possibilities of life that you can uncover will always keep you motivated. 🙏🏻✨🥰

[scopethings-blog]

SCOPE COMPUTER

📊 Learn data analytics to uncover insights from data, drive informed decisions, and enhance business strategies! 📈💡

[tutort-academy]

AI ENGINEER 👨‍🦱

AI engineers are software professionals who build tools and systems using various artificial intelligence techniques. That includes approaches such as machine learning, deep learning, and neural networks. The goal is to increase the efficiency of systems and make better use of data to drive business decision-making💻

Landing a job as an artificial intelligence engineer takes a combination of strong technical skills, a strong theoretical foundation, and soft skills like effective communication and creative thinking. Let’s find out how you can go about gaining the key skills required to work in the artificial intelligence field👩‍💻

➡️ If you want to start your career into the field of data science, ML and AI visit here-- www.tutort.net 📍

[xceloreconnect]

How is AI-Centered Product Design Different?

At Xcelore, our AI-Centered Product Design service stands out through the seamless integration of artificial intelligence in every phase of the design process. Unlike traditional approaches, we employ advanced Generative AI algorithms to analyze user data, predict behaviours, and dynamically adapt design elements. Our focus is on delivering a personalized and optimized user experience, anticipating user needs through machine learning insights. With Xcelore's AI-Centered Product Design service, you can expect a product that evolves based on user interactions and feedback, ensuring maximum user satisfaction and overall product effectiveness.

[notational]

Adding “by Robert Frank” always leads to mysterious and moody figures. Moving from artist to art director. #stablediffusion #machinelearning #stablediffusionart #stablediffusionai #machinelearningalgorithms #promptisms https://www.instagram.com/p/CpV1_n-yEkN/?igshid=NGJjMDIxMWI=

[zitintechnologies]

Big data meets big opportunities! Our IT recruitment services help you find top-tier machine learning and data science professionals to take your business to the next level.

Empower your business with AI-driven solutions! We specialize in recruiting top talent for big data analysis and machine learning to optimize performance and efficiency.

[studywomaneng]

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🌟 Unlocking AI: A Beginner’s Guide to Key Concepts 🤖✨ 

Artificial Intelligence (AI) is no longer just a futuristic buzzword—it’s a transformative tool revolutionizing industries across the globe. Understanding its foundational concepts can help demystify AI and reveal its real-world potential.

✨Key AI Concepts 1️⃣ Machine Learning (ML): Teaching machines to recognize patterns and make predictions without explicit programming. 2️⃣ Deep Learning: A subset of ML using neural networks for complex problems like speech recognition and autonomous driving. 3️⃣ Large Language Models (LLMs): AI systems like OpenAI’s GPT that generate human-like text and responses. 4️⃣ Small Language Models (SLMs): Lightweight models designed for specific tasks, ideal for chatbots and content moderation. 5️⃣ Retrieval-Augmented Generation (RAG): Combining generative AI with data retrieval for accurate, context-aware responses. 6️⃣ Generative AI (GenAI): AI that creates content, from images to music, empowering creativity. 7️⃣ Cloud-Native AI Offerings: AWS: Amazon SageMaker for building ML models and Bedrock for GenAI integration. Azure: Azure AI and OpenAI Service for LLMs and NLP applications. GCP: AI Platform and Vertex AI for developing ML solutions. OCI: Oracle AI Services for language, vision, and decision-making tasks.

💡 Why It Matters:  AI is not just for tech experts; it’s a tool for everyone. With cloud-native tools, AI is more accessible and scalable, driving transformation in various fields.

[aurotekcorp]

[mitsde123]

How Natural Language Processing (NLP) is Transforming Industries

Natural Language Processing (NLP) is transforming industries like healthcare, finance, and customer service by enabling machines to analyze language and interact with users. In healthcare, NLP improves diagnostics, while in finance, it powers sentiment analysis and fraud detection. Customer service benefits from AI-driven chatbots for real-time support. To explore these advancements, MIT School of Distance Education (MITSDE) offers a flexible online machine learning course, covering machine learning algorithms and NLP applications, with affordable machine learning course fees. Ideal for beginners and professionals, MITSDE’s machine learning programs provide practical skills to excel in this evolving field.

Read More

[womaneng]

View this post on Instagram

A post shared by Zeynep Küçük Woman Engineer (@woman.engineer)

🌟 Unlocking AI: A Beginner’s Guide to Key Concepts 🤖✨ 

Artificial Intelligence (AI) is no longer just a futuristic buzzword—it’s a transformative tool revolutionizing industries across the globe. Understanding its foundational concepts can help demystify AI and reveal its real-world potential.

✨Key AI Concepts 1️⃣ Machine Learning (ML): Teaching machines to recognize patterns and make predictions without explicit programming. 2️⃣ Deep Learning: A subset of ML using neural networks for complex problems like speech recognition and autonomous driving. 3️⃣ Large Language Models (LLMs): AI systems like OpenAI’s GPT that generate human-like text and responses. 4️⃣ Small Language Models (SLMs): Lightweight models designed for specific tasks, ideal for chatbots and content moderation. 5️⃣ Retrieval-Augmented Generation (RAG): Combining generative AI with data retrieval for accurate, context-aware responses. 6️⃣ Generative AI (GenAI): AI that creates content, from images to music, empowering creativity. 7️⃣ Cloud-Native AI Offerings: AWS: Amazon SageMaker for building ML models and Bedrock for GenAI integration. Azure: Azure AI and OpenAI Service for LLMs and NLP applications. GCP: AI Platform and Vertex AI for developing ML solutions. OCI: Oracle AI Services for language, vision, and decision-making tasks.

💡 Why It Matters:  AI is not just for tech experts; it’s a tool for everyone. With cloud-native tools, AI is more accessible and scalable, driving transformation in various fields.

[scopethings-blog]

Scope Computers

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🚀 Start your journey to becoming a data science expert today!

If you have any questions, please contact us now! 📩

[thedevmaster-tdm]

Mind-Blowing AI Breakthroughs_ Transforming Our World! 🤖✨

[notational]

Selected output from this set of prompts may deserve its own account. These make me quite happy. Moving from artist to art director. #stablediffusion #machinelearning #stablediffusionart #stablediffusionai #machinelearningalgorithms #promptisms https://www.instagram.com/p/CpQtKtmPL3x/?igshid=NGJjMDIxMWI=

[zitintechnologies]

Elevate recruitment efficiency with Big Data and Machine Learning—where smart algorithms meet human expertise to match top talent with the perfect opportunities.

Step into the era of intelligence with Big Data and Machine Learning—driving precise predictions, better outcomes, and revolutionary solutions for IT recruiting excellence.

[dridhon]

According to LinkedIn, the average number of job openings for certified data science engineers is around 19000+ /month in India!

Join dridhOn's Data Science Course with placement and Certification

[govindhtech]

Lightroom’s AI Eraser Tool, Remove Distractions with a Click

AI Eraser Tool

Recently, technologies called “generative AI eraser tool” have been developed to use artificial intelligence to eliminate undesired things from photographs. They function by examining the surroundings and making an educated guess as to how the picture would seem in the absence of the subject. Compared to conventional content-aware fill approaches, this enables a more realistic and smooth edit.

AI photo eraser tool

This is how the technology is broken down:

AI-powered: These instruments are based on machine learning algorithms that have been extensively trained on image data.

Object Removal: They are able to recognise and remove undesired items such as people, power lines, and imperfections.

Background Prediction: To determine what should be behind the thing being removed, the AI examines the surroundings.

Realistic Outcomes: The objective is to produce an edit that looks natural and melds in well with the surrounding scenery.

Several well-liked generative AI Eraser tools consist of:

The “Generative Remove” option in Adobe Lightroom Classic makes it simple to eliminate distractions from within the programme.

Microsoft Photos (Generative Erase): This feature of Windows Photos provides an easy-to-use method for image cleaning.

Generative Remove, Lightroom’s generative AI eraser tool, is an effective way to get rid of undesired things from your photographs without using Photoshop. Here’s a brief summary:

The Generative AI eraser tool in Lightroom: Erasing Distractions with a Single Click For photo editing, Lightroom’s Generative AI eraser tool also called Generative Remove is revolutionary. With the use of artificial intelligence, this cutting-edge function can eliminate undesired things from your images with ease, doing away with the need to use Photoshop for simple content removal tasks.

Eraser tool AI

What you should know is as follows:

What it Does: Power lines, photobombers, blemishes, and other undesired components are among the distractions that Generative Remove addresses. It makes an informed guess as to how the image would seem in the absence of the object by analysing its surroundings. This makes it possible for the edit to look natural and blend in with the surroundings.

Advantages:

Conserves Time: Generative Remove streamlines the procedure in comparison to more conventional techniques like the clone stamp, enabling faster and more effective editing.

Managing Complicated Backgrounds: Generative AI is better at managing complex backdrops than content-aware fill, which might have trouble with elaborate patterns. This leads to more realistic alterations.

Natural-Looking Outcomes: The AI aims to provide smooth edits that maintain the overall style while blending in perfect harmony with the source image.

How to Apply It:

Revise Lightroom: To use Generative Remove, make sure you have Lightroom Classic version 13.3 or Lightroom version 7.3 (or later).

Access the Develop Module by navigating: To modify your photo, open it in the Develop module.

Switch on the generative AI: Navigate to the Remove panel, which was once called Heal. Select the checkbox for “Generative AI” there.

Brush Over the Object: Paint over the undesirable object you wish to get rid of using the brush tool. For best effects, a wide selection should be made surrounding the object.

Lightroom Works Its Magic: After you’ve chosen the item, Lightroom will examine the picture and carry out the removal automatically. There will be other versions in the “Variations” section in addition to the altered image. Select the one that produces an edit that seems the most natural.

Although Lightroom has always been an effective tool, it has certain drawbacks. Getting rid of distractions from images without using Photoshop has proven to be a significant difficulty. The generative AI eraser tool is a game-changing technology that Adobe recently released. This feature makes things easier and lets you work with more in Lightroom itself.

This enlightening video, which comes from Matt Kloskowski, describes Lightroom’s new generative AI eraser tool feature. Lightroom Classic, Lightroom, and Adobe Camera Raw all have this feature. Better distraction elimination is addressed; Photoshop was previously needed for this task. The upgrade uses artificial intelligence (AI) to effectively remove undesired objects from your images. It can be found in Lightroom Classic version 13.3 and Lightroom version 7.3.

Kloskowski demonstrates how to use the tool in the well-known healing and clone stamp interface. The AI-powered rubber recognises items and presents you with a variety of options. Better outcomes are possible because to this versatility, which also lessens the need to switch between Lightroom and Photoshop. It’s simple to do: just paint over the undesirable object, let AI do the rest, and go through the created variations until you pick the one that fits the best. You can refresh to see new alternatives if the results aren’t right.

This tool’s capacity to handle larger items and intricate backgrounds is one of its main advantages. With multiple instances, including the removal of bright spots and distracting aspects that formerly required Photoshop, Kloskowski shows off how effective it is. While the tool isn’t perfect and may require some post-processing adjustments using cloning or healing tools, it greatly streamlines the workflow.

Additionally, Kloskowski points out that Photoshop has a tool that lets you enter in commands for generative AI. Although it isn’t currently available in Lightroom, this feature suggests potential future advancements that could further incorporate AI into photo processing. For the time being, the new Lightroom feature is a big improvement, making distraction reduction more rapid and user-friendly. View the video above for Kloskowski’s complete overview.

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