Category Archives: Data Science
DragGAN: Everything you need to know about this AI – DataScientest
Like other popular tools such as ChatGPT or MidJourney and Stable Diffusion, DragGAN exploits generative artificial intelligence technology to automate creative tasks.
In this case, its photo editing that becomes childs play, since the AI seems almost to guess the users intention and make the changes for him or her.
More traditional and long-established software such as Photoshop have no choice but to embrace innovation, or risk becoming obsolete. Indeed, Adobe has already launched its own Firefly AI to bring its tools into the new era.
Over the next few years, advances in artificial intelligence will continue to open up new possibilities in image editing. These include automatic object recognition, real-time retouching and video editing.
Despite DragGANs ease of use, exploiting its full potential requires a thorough understanding of artificial intelligence.
Human supervision is needed to improve the quality of the results produced by the AI, which can still make mistakes. To acquire this expertise, you can choose DataScientest.
Our training courses enable you to learn all the techniques and tools required to work in the Data Science profession, as an analyst, data scientist or data engineer.
In particular, youll learn about Machine Learning and Deep Learning, neural networks, GANs, and specialized tools like Keras, TensorFlow or PyTorch. This will enable you to understand how software like DragGAN works, and even create your own models!
As you progress through the other modules of our training courses, youll also become an expert in data analysis, business intelligence, dataviz, programming and databases.
By the end of the course, youll have acquired all the skills you need to become a Data Science professional. Youll also receive a state-recognized diploma and certification from our cloud partners AWS or Azure.
All our training courses are entirely distance learning via the web, and are eligible for funding options. Dont waste another moment and discover DataScientest!
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DragGAN: Everything you need to know about this AI - DataScientest
WiDS Livermore Conference: Attendees Share Research Insights – Mirage News
Lawrence Livermore National Laboratory (LLNL) recently hosted its 7th annual Women in Data Science (WiDS) conference for data scientists, industry professionals, recent graduates and others interested in the field. As an independent satellite of the global WiDS conference celebrating International Women's Day, the Livermore hybrid event was held to highlight the work and careers of LLNL and regional data-science professionals.
Hosted at the University of California Livermore Collaboration Center, the all-day event included technical talks, panel discussions, speed mentoring, a poster session and networking opportunities. Keynote speaker and LLNL Distinguished Member of Technical Staff Carol Woodward spoke about her unconventional career path. She described her experience as one of few women in male-dominated classes at Louisiana State University, where she earned her bachelor's degree in mathematics, and how she discovered the field of applied mathematics after nearly becoming a microbiologist. Throughout her talk, Woodward gave credit to those who mentored her at every step of her journey.
"[With] the power of the right cohort and engaged mentors, the right environment - it's amazing what you can accomplish," she said.
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WiDS Livermore Conference: Attendees Share Research Insights - Mirage News
MD Anderson’s Institute for Data Science in Oncology announces appointment of inaugural IDSO Affiliates – MD Anderson Cancer Center
Affiliates bring diverse expertise to facilitate engagement, advance the work of the institute and grow the data science ecosystem at MD Anderson
MD Anderson News Release March 22, 2024
The Institute for Data Science in Oncology (IDSO) at The University of Texas MDAnderson Cancer Center today announced the appointment of its inaugural cohort of IDSO Affiliates. These 33 talented scientists, clinicians and staff bring diverse expertise to help IDSO leadership and focus area co-leads advance collaborative data science projects and align the institutes efforts with MD Andersons mission to end cancer.
We are proud to welcome these exceptional individuals to the growing IDSO community, and we look forward to the collaborative work ahead of us, said David Jaffray, Ph.D., director of IDSO and chief technology and digital officer atMD Anderson. By engaging diverse expertise across all of our mission areas, we will enhance the rich and productive data science ecosystem at MD Anderson to deliver transformational impact for patients.
IDSO was launched to integrate the most advanced computational and data science approaches with MD Andersons leading scientific and clinical enterprise, significantly improving patients lives by transforming cancer care and research.
The affiliates were identified based on their existing contributions to IDSO or were recruited to MD Anderson specifically for their data science expertise. Affiliates are approved for a two-year term based on their qualifications, alignment with, and commitment to IDSO projects and focus areas. The inaugural IDSO Affiliates include:
Our affiliates bring expertise, perspectives and commitment from across the institution to foster impactful data science in order to tackle the most urgent needs of our patients and their families, saidCaroline Chung, M.D., director of Data Science Development and Implementation for IDSO and chief data officer at MDAnderson. People and community are at the heart of our efforts, and establishing the IDSO Affiliates is an exciting step in growing the most impactful ecosystem for data science in the world.
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CDOs, data science heads to fill Chief AI Officer positions in India – CIO
We are already seeing this (combination of the AI roles) happening now in India, Addagada said, giving the examples of HDFC Bank, Axis Bank, ICICI Bank, and Bandhan Bank.
The refactoring of C-level technology roles across Indian enterprises, according to CK Birla Hospitals CIO Mitali Biswas, can be chalked up to the dearth of talent or skills presently available to take on the responsibilities for the role or create an efficient team under that position.
While larger enterprises may still want to create a new position and a team around it, small and medium businesses will look up to their existing technology leaders, such as the CIO or the CTO or the CDO to take up the CAIO mantle, Biswas explained, adding that maturity and pervasiveness of the CAIO role, at least in the Indian healthcare sector, is two to three years away.
Santanu Ganguly, who is the CEO of advisory firm StrategINK, said he believes that other industry sectors, including healthcare, will see the role of CAIO being adopted in the next one to three years, driven by the boards and CEOs agenda of shaping the future of customer-centricity, offering innovation, enhanced productivity & efficient operations.
Along the same lines, Gaurav Kataria, vice president of digital manufacturing and CDIO at PSPD, ITC Limited said that the evolution of the CAIO role is already happening in India.
Mostly all enterprises are setting up AI centers of excellence and the persons leading those centers are already doing what is expected of a CAIO. While the CAIO is not an official CxO position, this role rolls into the CDO who helps drive strategy, governance, and connect to the board, Kataria explained.
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CDOs, data science heads to fill Chief AI Officer positions in India - CIO
Data Science Career Challenges-and How to Overcome Them – Towards Data Science
On a very basic level, most work-related challenges come from similar sources, regardless of field or industry: having to navigate professional relationships and communicate with people who might not always be on the same page as you. And you have to do that within the constraints of goals, available resources, and limited timeand on top of everything else you might need to deal with in your life.
If we take a closer look, though, we can see different patterns emerge not just across professions and workplace types, but even within well-defined roles and disciplines. That certainly appears to be the case for data and ML professionals, who despite a very broad range of skills and responsibilities, often have to resolve similar issues.
This week, were highlighting recent articles that focus on some of these common data science work and career challenges we see pop up again and again; theyre grounded in the authors personal experiences, but offer insights that can likely help a wide swath of our community. Enjoy!
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Data Science Career Challenges-and How to Overcome Them - Towards Data Science
Discovering My Path: Data Science and Beyond at Syracuse University – iSchool | Syracuse University – Syracuse University
From my earliest memories in Miami, I was intrigued by everything from the unfolding of a story in a book to the evolving theories about our universe. Now, as a third-year student at Syracuse University, Im living my dream, delving into the world of Applied Data Analytics with minors in Innovation, Design, and Startups, and Computer Engineering.
Being the first in my family to attend university, I had to navigate this new world largely on my own. But thats the thing about Syracuse its more than just a university. Its a community where youre encouraged to explore, make mistakes, and grow.
In my classes, whether its Data in Society or Intro to Networks & Cloud, I find myself constantly challenged and intrigued. Its not just about learning the theories; its about seeing how these concepts come alive in the real world. And speaking of the real world, my job at the ITS Service Center and the Digital Scholarship Space (DSS) at Syracuse University has been nothing short of eye-opening. There, Im not just a student; Im a problem-solver, a tech wizard in training, helping others make sense of the digital world.
But perhaps what really gets my heart racing is the work I do as a NEXIS Researcher in Data Science. Its here that I get to explore the frontiers of technology imagine being part of discussions on the next big thing in tech! This, coupled with my ongoing project, Pr0-Tech, is where I see my dreams converging with reality. Its a thrilling journey of creating a blockchain-based solution that could redefine data security and privacy.
Looking ahead, I cant wait for my summer internship at GE Aerospace. It feels like the next big leap towards my goal of being at the forefront of technology and innovation. Im eager to dive into projects, to test my skills in a real-world setting, and to see how far my passion for data and technology can take me.
And lets not forget my role as an iSchool Ambassador. Sharing my story, guiding prospective students, and being a part of their decision-making process is not just a responsibility its a privilege. Its my way of giving back, of showing others that their dreams are valid and achievable.
As I reflect on my time at Syracuse, I realize how each experience has been a stepping stone towards a future I once only dreamed of. This journey has been about finding my place in the world of technology and data, about pushing boundaries, and about discovering who I am and who I want to be.
When I think about how I ended up here, a big part of the story is the Posse Foundation Full-Tuition Leadership Scholarship. It wasnt just a scholarship; it felt like a vote of confidence in a kid who loved the idea of being a forever learner and dreamed of making a difference. More than that, Posse connected me with a network of fellow scholars, individuals who have become more than peers they are motivators, inspirers, and my closest friends. Together, weve shared experiences and challenges that have shaped me into a better person, deepening my commitment to learning and growing. Each of them, in their own unique way, has contributed to my journey, encouraging me to strive for excellence not just in academia, but in all facets of life. This heartfelt community of scholars that Iveive been able to meet at Syracuse has been instrumental in my development, constantly pushing me to explore new horizons and to be the best version of myself.
Adding to this enriching journey, I was recently honored with the Scholarship in Action award from the iSchool at Syracuse University. This recognition is not just an accolade; it is a testament to the hard work, dedication, and passion Ive invested in my academic and extracurricular endeavors. Additionally, being an Our Time Has Come Scholar has brought another layer of enrichment to my university experience. These acknowledgments validate my efforts and reinforce my belief in the power of education and community. They serve as reminders of the responsibility I carry to not only excel academically but to also make a meaningful impact within my community and beyond. With these accolades, I feel even more empowered to pursue my goals and continue making a positive difference in the world.
For anyone considering Syracuse, especially the iSchool, know that its a place where dreams are given the space to grow. Its where your passion for technology and innovation will find a nurturing home, and where your academic journey will be as exciting as it is enlightening.
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Point Cloud Classification with PointNet and PyTorch3D | by Mason McGough | Mar, 2024 – Towards Data Science
11 min read
Follow along with this post using the Google Colab notebook.
In todays rapidly evolving technological landscape, 3D technology is becoming indispensable. Prototyping, virtual try-on, virtual and augmented reality experiences, digital twins, surveying, medical prosthetics, and the film and gaming industries are just the tip of the 3D iceberg. LinkedIn estimates that the worldwide demand for 3D content will surpass $3 billion by 2028, showing no signs of deceleration. From Frozen to Fortnite, its safe to say that 3D models are becoming the new photographs.
As demand for 3D data grows, so does the need for effective methods to classify and understand 3D data. PointNet, invented in 2016 by Stanford researchers, is a fossil in the fast-paced world of ML, and yet it has withstood the test of time. As recently as 2023, researchers have published variants on the PointNet architecture for tasks as diverse as:
Designed specifically to grapple with the complexities inherent in 3D point cloud data, PointNet offers a robust and versatile solution in an era where the utilization of 3D data is more prevalent than ever before.
To aid us on our PointNet journey, we will use PyTorch3D. PyTorch3D, from Facebook AI Research (FAIR), is a flexible and efficient 3D deep learning tasks framework that empowers researchers and practitioners to delve into the intricacies of 3D machine learning. With its rich toolset, we can visualize and manipulate 3D data to build a 3D object classification model with PointNet. If you seek more information on PointNet, PyTorch3D, and 3D machine learning, you may be interested in my new Educative course 3D Machine Learning with PyTorch3D.
Since its creation, PointNet has become a cornerstone in 3D deep learning for efficient point cloud data processing. But exactly what is a point cloud?
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Analytics and Data Science News for the Week of March 22; Updates from Databricks, NVIDIA, Power BI & More – Solutions Review
Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of March 22, 2024.
Keeping tabs on all the most relevant analytics and data science news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy analytics and data science news items.
The transaction was previously announced on December 18, 2023 and approved by Alteryx stockholders on March 13, 2024. Alteryx is now a privately held company and its common stock has ceased trading on the New York Stock Exchange.
Read on for more.
Together, Databricks and NVIDIA will optimize data and AI workloads on the Databricks Data Intelligence Platform. The collaboration builds on NVIDIAs recent participation in DatabricksSeries Ifunding round.
Read on for more.
DataRobot announced that its enterprise-ready AI solutions will be supercharged with NVIDIA technology to offer world-class performance, security and efficiency across the full AI lifecycle. This new collaboration with NVIDIA accelerates AI use case delivery.
Read on for more.
This latest offering from Dell, a fully integrated data platform built on Dell hardware with a full-service software suite, helps modernize an organizations data platform and operations. By utilizing Starbursts query engine, data processes are streamlined.
Read on for more.
In partnership with Vanson Bourne, an independent research firm, Exasol surveyed 800 senior decision-makers as well as data scientists and analysts across the U.S., U.K., and Germany to assess enterprises data and analytics initiatives, including their top challenges and how they are planning to address those challenges in the short-term (within two years).
Read on for more.
Peter Wang was named Chief AI & Innovation Officer and will lead Anacondas new AI Incubator. The AI Incubator will serve as an internal research and development group dedicated to advancing Python performance in AI workloads and supporting the companys competitive advantage.
Read on for more.
Java 22 (Oracle JDK 22) delivers thousands of performance, stability, and security improvements to help developers increase productivity, drive innovation, and accelerate growth across their organizations. These include enhancements to the Java language, its APIs and performance, and the tools included in the Java Development Kit (JDK).
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This update brings the on-premises data gateway up to date with the March 2024 release of Power BI Desktop. This version of the gateway will ensure that the reports that you publish to the Power BI Service and refresh via the gateway will go through the same query execution logic/run-time as in the March version of Power BI Desktop.
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Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Reviews enterprise tech community for business software pros. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.
In this episode, David examines the reputation and potential regulatory risks businesses face when using predictive analysis and gets into the ethics of using customers data to improve marketing techniques. What is the value proposition for predictive analysis? How can companies better articulate their goals in a mutually beneficial way?
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With the next Spotlight event, the team at Solutions Review has partnered with Amplitude to learn how to apply insights into product-led growth workflows and how they interlace with marketing efforts.
Read on for more.
The Thought Leader Project is a single initiative that brings the full power of Solutions Reviews authority, reach, and distribution to help technology vendors build brands, enhance their reputation, and ultimately, reach their target market.
Read on for more.
For consideration in future analytics and data science news roundups, send your announcements to the editor: tking@solutionsreview.com.
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How to perform anomaly detection with LOF – Towards Data Science
An introduction to performing outlier detection with the Local Outlier Factor (LOF) algorithm. 8 min read
Anomaly detection, although useful, is a topic that often gets skipped in machine learning classes. There are many applications of anomaly detection, especially in areas such as fraud detection and system monitoring.
If youve followed my blog for some time, youll remember that I previously wrote an article about using Isolation Forests for anomaly detection.
Aside from Isolation Forests, there is also another anomaly detection known as the Local Outlier Factor (LOF) that also performs well in practice. In this article, I will briefly go over the LOF algorithm and also demonstrate how you can use this algorithm for anomaly detection in Python.
The LOF algorithm is an unsupervised algorithm for anomaly detection. It borrows concepts from the K-nearest neighbors algorithm and produces an anomaly score based on how isolated a point is from its local neighbors. The basic hypothesis of this algorithm is that outliers or anomalies will have a lower density (further nearest neighbors) than other points.
To fully explain how this algorithm computes anomaly scores, we need to understand four concepts in the following order:
The k-distance is the distance between a point and its k-th nearest neighbor. The value we select for k is a hyperparameter for the LOF algorithm that we can experiment with to produce different results. Consider the diagram below where the second-closest point (or second-nearest neighbor) to point A is point B so the k-distance with k=2 is
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How to perform anomaly detection with LOF - Towards Data Science
Ted Willich: Leading a company where ‘data science is a team sport’ | Jax Daily Record – Jacksonville Daily Record
When NLP Logix, a custom AI and software services company, launched in 2011, much of the business world didnt understand what it was offering.
Natural language processing, a form of artificial intelligence, wasnt on the radar the way it is now, said CEO Ted Willich, 58, one of the companys three co-founders.
It had been on his radar for years.
Medical Development International, or MDI, which he co-founded in 1993, used machine learning to estimate costs around health care in correctional facilities, Willich said.
Because MDI knew health care, the original business plan at NLP Logix was to use natural language processing, which is a form of machine learning, to integrate disparate health management data silos, he said.
We knew the value of machine learning. It was just a matter of teaching it.
He and co-founders Matt Berseth and Robert Marsh started the company with a small amount of seed capital from angel investors.
Generating business was more of a consultative sale, and it was a long sale and it was a hard sale, Willich said.
NLP Logix CEO Ted Willich says NLP stands for natural language processing.
The first couple of years just sucked. It was horrible. No one knew what machine learning was.
Then they caught a couple of breaks.
The first was with the Florida Poison Information Center Network.
In 2013, NLP Logix gave a presentation at UF Health Shands on building data models to predict the probability of someone being readmitted to a poisoning center for treatment.
After the presentation, Dr. Jay Schauben, director of the Florida Poison Information Center in Jacksonville, met with Berseth and Willich and asked if NLP Logix would consider a data challenge.
Working with Dr. Schauben and the FPICN staff, we were able to successfully track the costs of those that were co-managed and those that were not, Willich said.
In the end, those that were co-managed had a much lower cost and demonstrated the tremendous value the Poison Control Centers deliver to the state of Florida and across the country.
The studys success resulted in a contract with the states three Poison Control Centers, and NLP Logix is now in 14 of the 54 poison control centers across the U.S., he said.
That was our first big break and weve had a couple of others along the way. We got lucky.
NLP Logix now has close to 50 clients and more than 100 employees. Its annual revenue of $17.5 million in 2023 is almost double its annual revenue of $8.9 million in 2021.
The company works in many fields and industries, Willich said. They include health care; government; education; human resources; property and casualty insurance; defense; and nonprofits.
Were very much a people company, NLP Logix CEO Ted Willich said. Were a work-from-work company, for the most part, that recognizes collaboration and the value of people being able to whiteboard, being able to interact.
Our clients are all over the place, he said. Thats the beauty of technology.
About 60 employees work at the companys headquarters at 9000 Southside Blvd., Building 700, in the Gramercy Woods office park, which is also home to the Bank of America campus.
The remainder comprises employees working remotely in other states, and teams in the Philippines and Serbia.
The NLP Logix mantra: Data science is a team sport.
Were very much a people company, Willich said. Were a work-from-work company, for the most part, that recognizes collaboration and the value of people being able to whiteboard, being able to interact.
NLP Logix moved to its 10,800-square-foot office in December. It previously operated in a 5,900-square-foot space at 4215 Southpoint Blvd. for 12 years.
We literally outgrew it, he said.
The company plans to expand its space at its new headquarters.
A native of California, Willich was living in Northern Virginia, where MDI was headquartered, when he and the company moved to Northeast Florida in 2003.
Facing financial and legal problems, MDI, which Willich co-founded with his father, Richard, liquidated in 2012.
The issues were fueled primarily by lawsuits between Wells Fargo and MDI over loans, company management and expense claims by the bank against Richard Willich.
Co-founding MDI with my father was a once-in-a lifetime experience, Willich said.
Starting with two people in a family room in Oxnard, California, talking about a vision for a company and seeing it grow to a height of over 200 employees and significant revenues over the ensuing 20 years was amazing, he said.
While it did not end well for many reasons, including an IP theft that did significant damage, it taught me that a tech-enabled services company could both deliver and generate significant value.
MDI was also where he met Berseth and Marsh, as well as Fallon Gorman, their chief operating officer, who has been a critical part of our success over the past few years growing the company, Willich said.
It was also at MDI where we first started using machine learning to optimize internal business processes, which is the core of our business model today. We were definitely early adopters of the AI movement in business.
Willich said his wife, Julie, suggested the Logix part of the company name. He believes Berseth suggested the NLP.
NLP stands for natural language processing, which is the core technology of teaching computers to talk, read, etc., Willich said in an email.
You use it every time you say, Hey Google or Siri and it is the core technology driving ChatGPT and other large language models that everyone is so excited about - including us, he said.
The funny thing is at the time, it was fairly criticized, because no one knows what natural language processing is, thats not a name, you ought to do something else, Willich said.
We were like, Yeah, thats OK, well just keep the name. And now, people think its brilliant.
The company has a three-member innovation team charged with three tasks, Willich said: keeping on top of the technology and asking how to use to it solve a business problem for their customers; prototyping technology to build proof to customers of concepts that will work for them; and educating within the company on the latest and greatest developments taking place in the industry.
Thats one of our growth techniques, he said. Were not inventing the technology. Were just keeping on top of the latest and greatest and applying it to a companys business, or governments.
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