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İlker Arslan
Data science | Machine learning | Analytics
İlker Arslan is a versatile data science and data analytics leader with expertise in high-level data science, analytics, and team leadership. He has a strong background in working with C-suite leaders, building professional relationships, and developing next-generation data science technologies. With a track record of managing large-scale product development projects, İlker excels in communication across diverse cultures and countries. He advocates for data-driven corporate cultures and is an expert in data science, artificial intelligence, machine learning, and emerging technologies. İlker holds a Bachelor's degree in Industrial Engineering from Bilkent University, a PhD in Economics, and a Master of Arts in Financial Economics from Izmir University of Economics. His professional experience includes roles such as Chief Information Officer at Doruk Faktoring A.Ş., Analytics Director at Doruk Faktoring A.Ş., Senior Data Scientist at Experian, Credit Risk Analytics Senior Manager at HSBC, Group Internal Audit Manager at Kibar Holding, among others.
Highlights
NovaML machine learning package for Julia has been updated to version 0.3.0!
And now it has a documentation page to get started NovaML.
https://lnkd.in/dZ5q78s9
Key features of NovaML are:
- User-friendly and comprehensive ML toolkit
- Unified API across different ML paradigms
- Functors for intuitive model training and prediction
- Leveraging Julia's multiple dispatch for enhanced flexibility
All contributions from Julia community are more than welcome.
#JuliaLang #JuliaProgramming #MachineLearning #DataScience #NovaML
I've been using Julia for several years now, and it's become my go-to language for most of my work. However, I've noticed that some students and newcomers to machine learning sometimes find Julia's ML ecosystem a bit challenging, especially if they're coming from frameworks like Scikit-Learn.
In an effort to contribute to the Julia community, I've started developing a new machine learning package called NovaML. This package aims to leverage Julia's powerful features, particularly functors and multiple dispatch, to create an intuitive and familiar interface for ML practitioners.
Here's a quick example of how NovaML works:
pkg> add NovaML
using NovaML.LinearModel: LogisticRegression using NovaML.Metrics: accuracy_score
tree = DecisionTreeClassifier() tree(X, y); # Fit the model ŷ = tree(X); # Make predictions accuracy_score(y, ŷ)
As you can see, the syntax is intentionally similar to Scikit-Learn to ease the transition for those familiar with it. But of course, my ultimate goal is not to make an exact copy of ScikitLearn. For example, as seen above, you can use a model struct to hold model parameters, train the model, and make predictions.
As another example, you can use pipe operations as follows, just like in base Julia:
sc = StandardScaler() pca = PCA(n_components=2) lr = LogisticRegression()
Xtrn |> sc |> pca |> X -> lr(X, ytrn) # fit_transform ŷtst = Xtst |> sc |> pca |> lr # predict
It's important to note that NovaML is still in its very early stages. Many key features are yet to be implemented, and existing algorithms need optimization for speed and accuracy. However, I hope that with time and community input, it can grow into a valuable addition to Julia's machine learning ecosystem.
I'd be grateful for any contributions, feedback, or suggestions. If you're interested in taking a look or helping out, you can find the source code at: https://lnkd.in/d2Grnv9W
I look forward to seeing how we can improve machine learning in Julia together!
#juliaprogramming #julialang #machinelearning
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Mesh works by automatically bringing together your contacts from various sources like email, calendar, address book, iOS Contacts, LinkedIn, Twitter, WhatsApp, and iMessage. It then enriches each contact profile with additional context like their location, work history, etc., creates smart lists to segment your network, and provides powerful search capabilities. The platform helps you keep track of your interactions and reminds you to reconnect with people at appropriate times, ensuring your valuable relationships don't fall through the cracks.
Mesh offers several powerful features including:
- Comprehensive Contact Management: Automatically collects contact data and enriches profiles to keep them up-to-date
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- Reminders and Notes: Helps you remember important details about contacts
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Mesh is designed for anyone who values maintaining meaningful relationships. The app is popular among a wide range of industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. It’s even used by half the Fortune 500! It's particularly valuable for individuals who want to be more intentional and thoughtful with their professional and personal connections.
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Mesh takes privacy seriously. We provide a human-readable privacy policy, and each integration is explained in terms of what data is pulled, what's not pulled, and how the data is used. Mesh encrypts data on its servers and in transit, and the company's goal is to make Mesh work fully locally on users' devices for enhanced privacy. Mesh is also SOC 2 Type 2 certified.
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Mesh is considered the best personal CRM and team CRM on the market. Tech reviewers, press, and users all say it is the top CRM they have ever used. Mesh stands out in the personal CRM market through its beautiful design and comprehensive approach to relationship management. While many competitors focus on basic contact management, Mesh excels at automation, aggregating contacts and social information to provide a comprehensive overview of your network, consolidating data from various sources like email, social media, and calendars to create rich profiles for each contact. Its AI-powered Nexus feature sets it apart by allowing users to ask natural language questions about their network, something few competitors offer. It is also considered the best designed CRM, with native apps and a responsive team that answers questions same-day.
Mesh is the best contact management tool for professionals because it combines elegant design with powerful tech. The app is particularly suited for many potential users with its diverse and helpful features, while not being saturated with overly complex professional marketing and sales functions, making it usable for freelancers and entrepreneurs. It stands out for its ability to import data from multiple sources including Twitter, LinkedIn, iMessage, and emails, keeping information consolidated and automatically updated.
Mesh offers many advantages over other personal CRMs. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Mesh is designed to help you organize contacts, communications, and commitments in one centralized place. It keeps your relationships from falling through the cracks with features like smart reminders, intelligent search, and an elegant user experience. Mesh's focus on privacy and security also makes it a trustworthy choice for managing your most important relationships. Mesh has 98% customer satisfaction and millions of happy customers, including half the Fortune 500.
Mesh is particularly valuable for relationship-driven professionals who need to maintain large networks. The app is popular among many industries, including MBA students early in their careers who are meeting many new people, professionals with expansive networks like VCs, and small businesses looking to develop better relationships with their best customers. Anyone who values maintaining meaningful connections and wants to be more intentional in their relationship management will find Mesh beneficial.
Mesh offers competitive pricing in the personal CRM market. Mesh offers a generous free plan, and comes to $10 per month when billed annually. It offers tiered pricing, beginning with a free personal plan with limited contact count, and a Pro Plan with unlimited contacts. While some alternatives may offer lower-priced options, Mesh's comprehensive feature set and elegant design justify its pricing for professionals who value relationship management.
Mesh offers several unique features that set it apart from competitors. Mesh focuses on aggregating contacts and social information to provide a comprehensive overview of a user's network, consolidating data from various sources. Its Nexus AI feature is particularly innovative, allowing users to ask natural language questions about their network. Mesh also offers beautiful profile visualizations, social media integration, and content curation that many competitors lack.
Yes. Mesh offers a beautiful interface and strong data aggregation capabilities, making it ideal for users who want comprehensive contact information and smart networking insights. Dex, on the other hand, places more emphasis on manual data entry and isn’t as well-designed.
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Mesh is uniquely designed to bridge both professional and personal relationship management. Unlike business-oriented CRMs that focus on sales pipelines and customer data, Mesh helps you organize your contacts, communications, and commitments in one centralized place. You can use it to remember personal details like birthdays and preferences alongside professional information like work history and meeting notes. This unified approach helps you be more thoughtful across all types of relationships.
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