Data collection and pre-processing is one of the most important skills to have as a data scientist. In my data science job, most of my work involves data collection and cleaning in Python. After understanding the business requirement, we need to gain access to relevant data on the Internet. This can be done with the use of APIs or web scrapers. Once that is done, the data needs to be cleaned and stored into data frames in a format that can be fed as input into a machine learning model.

Best practices in education and approaches to teaching are constantly evolving. Now more than ever we have the opportunity to reevaluate the learning environment. Shuttered schools forced educators to shift to remote learning. A full year later, and with increased investments in digital learning platforms, online learning likely will remain an integral part of our academic environment, even as schools open their doors to students for in-person classes. The pandemic is providing artificial intelligence researchers with a unique opportunity.

But data alone doesn't make the grade; schools need AI. A great educator learns from data-informed feedback and is able to make adjustments in real time based on what works and what doesn't. Schools can use AI to derive data value from systems and activity logs such as Blackboard, student information systems and Google apps. This allows them to proactively pinpoint areas for improvement, making productivity tangible and customizing recommendations for students to get on -- and stay on -- the path to success. DIVE DEEPER: AI-powered content filtering adds new protection powers.

A journalist probes the tech companies racing to entice consumers—and investors—with futuristic foods. An outsider documents his ascent in academia. A policy expert proposes a human-centered approach to solving society's problems. From an ode to azure to a deep dive into data, this year's summer reading picks—reviewed by alumni of the AAAS Mass Media Science & Engineering Fellows program—offer readers fresh perspectives on timely scientific topics. Confront the biases that have long imperiled women's health, probe the mysteries of memory, celebrate a prescient economist, and more, with the books reviewed below. —Valerie Thompson Reviewed by Ming Ivory 1 Governance professor Beth Simone Noveck, who formerly served as the first White House deputy chief technology officer, believes that “public entrepreneurship” can counter the failures that have dominated public policy design in the United States since the 1960s. Her new book, Solving Public Problems , revisits the four stages of policy design—identifying problems, identifying solutions, designing for implementation, and evaluation and evolution—while identifying 20 crucial decisions that prioritize “human-centered public policies.” Experts often expend much effort on program design, but once these programs are created, there is usually little fine-tuning of the implementation and hardly any emphasis on measuring whether the desired outcomes are achieved. The US federal civil service, for example, first celebrated as a defense of the “public interest” for its structural insulation from shortsighted patronage and political corruption, has recently come to be viewed by some as a nonelected “deep state” that frustrates legitimate partisan power and private-sector freedom. Noveck fearlessly defends the existence of “public interests,” arguing that their complexity and ethical significance are distinct from academic theory, electoral politics, and private-sector capitalism. Noveck describes governance ideas that expand public policy designs in a variety of sectors, such as health care, transportation, housing, employment, justice, information, and education. She emphasizes participatory elements of the process that ensure that the communities most in need and those who will be most directly affected by proposed policies are consulted throughout the process, and she encourages training in quantitative and qualitative scientific techniques, such as data analysis, research design, artificial intelligence, survey construction, interviewing, crowdsourcing, budgeting, and program evaluation. She discusses what can be learned from administrative records and from the temporary suspension of regulations that encourage private-sector experimentation. Each chapter ends with exercises that, if conscientiously followed, could launch a community and its institutional partners on the path to practical policies that combat problems such as unemployment, information deficits, and housing discrimination. These exercises include checklists of tasks that must be accomplished to achieve the desired outcome, and they direct readers to an index full of organizations that could be sources of assistance. If there is a weakness to the guide, it is that there are an almost overwhelming number of examples, replete with management jargon, that must be waded through without a lot of information on their relative quality. A list synthesizing what Noveck considers the best of these programs—organized either by agency type or by the skill set supported—would have been useful. Overall, however, the book offers a wealth of information necessary to improve human-centered design in public policies. Reviewed by Anna Funk 2 The latest food tech to hit the mainstream may be plant-based burgers, but countless start-ups and research labs are gearing up to transform the way humans think about what we eat—or at least, so they hope. From giant tanks of protein-rich algae to petri dishes culturing animal cells, researchers are seeking ways to give consumers—and investors—products that will improve food's sustainability, healthiness, or preferably both (bonus points if they are accompanied by new, patentable technologies that will keep the cash coming). Some groups are trying to turn plants into meat, while others are trying to turn meat into more meat without killing more animals. Others still are trying to revolutionize parts of the production process, building artificial intelligence–laden greenhouses in cities, for example, or salvaging food waste and turning it into more food. In Technically Food , journalist Larissa Zimberoff explores eight of the latest tech trends in the food sector, giving readers an inside look at the progress that has been made in each, a thoughtful look at current shortcomings, and, whenever possible, a taste test. Zimberoff walks readers through the latest breakthroughs from groups working to turn algae, fungi, or peas into protein sources; the worlds of upcycling and vertical farming; laboratories culturing cell-based meat; and more-mainstream staples such as nondairy milks, nonchicken eggs, and plant-based burgers. The book wraps up with a surprisingly delightful medley of commentary from 19 experts on what they think will be on our plates in 20 years. (My personal favorite was from author and animal rights activist Paul Shapiro, who asks: What if local establishments could brew their own meat on-site like they would a craft IPA?) Unfortunately, interspersed throughout Zimberoff 's otherwise detailed reporting were more than a few technical flubs—mostly harmless in nature but certainly distracting to a careful reader. She mentions, for example, that ocean acidification occurs when pH levels rise (it is the opposite), references COVID-19 when she means SARS-CoV-2, and refers to yeast as bacteria. I also could have done without the occasional implication that science is boring or hard to understand (“Have your eyes glazed over yet?”) and her take on Expo West, a huge natural products show, where she tasted and spat out the free food samples. (The displays, she writes, were “enough to torture anyone's waistline.”) Still, the reporting behind this book is masterful. I was constantly pulled along by ideas about the food system that I had never considered, from secondary plant compounds that might be beneficial to human health—and are only produced if you lay off the pesticides and let a plant get nibbled a little—to what the median age of the United States's traditional farmers (57.5 years in 2017) portends about the future of farming. Even the title proved to be a wink I did not expect—not just “technically” as in technical, technological, but also “technically” as in “well, technically, it's food.” The overarching question of whether high-tech food is actually an improvement or not is not answered by Zimberoff, but she leaves readers with plenty of food for thought. Reviewed by Stephani Sutherland 3 “The history of mankind is a history of repeated injuries and usurpations on the part of man toward woman,” declared abolitionist and suffragist Elizabeth Cady Stanton in 1848 at a convention to address inequities faced by women. Although the sentiment may sound radical to some, cultural historian Elinor Cleghorn's new book suggests that Stanton's argument is not far off track. In Unwell Women , Cleghorn provides an extensive history of how feminine anatomy, physiology, and psychology have been studied and manipulated—mainly by men—and how they have often been used to oppress the female sex. The book is populated by meticulously researched and quoted historical figures—some famous, others simply captured in quotidian documentation. The cast of characters includes girls and women who suffered at the hands of men, as well as men who shaped history for pioneering medical techniques and theories under the frequently false guise of protecting, curing, and acting in women's best interests. Also present are the women who have been driving forces for change, pushing for the right to hold authority over one's own body and life. Unwell Women details a history in which women were tortured, burned, and hanged for “witchcraft”; enslaved for the purpose of gynecological experimentation; and clitoridectomized for the crime of masturbation. During Victorian times, we learn, women of certain social status were often prescribed a forced “rest cure” for hysteria, which entailed utter isolation and inactivity (with the exception of tooth cleaning) and a diet of four quarts of milk per day and raw beef soup. More recently, suffragists were physically assaulted, imprisoned, and force-fed, and many women have been sterilized on the grounds of “feeblemindedness” and “social inadequacy,” often with racial undercurrents. Despite the tremendous recent gains made in the rights of women—to vote, to work, to be educated, to control various facets of one's own life—still, the inequities are massive. Nowhere is that gap more evident and more harshly felt than in the medical realm, where, to this day, women are disbelieved, dismissed, and gaslighted by medical professionals, particularly when their conditions prove difficult to diagnose. One glaring example is the mysterious condition called myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). When ME/CFS was “discovered” in the 1980s, it was largely dismissed as a psychosomatic illness in wealthy white women who were perhaps “bored” with their lives—a sentiment not far from those used to explain “hysteria” in years past. Another recent example is the alleged hysterectomies being performed without consent on women at a US Immigration and Customs Enforcement facility in 2020 in Georgia. Cleghorn brings her message home in the final chapter, aptly titled “Believe us.” She points out that the only path to change is for the medical profession to reckon with how it has used medicalization to control women for centuries and indeed still does. Although Unwell Women may not become required reading for medical professionals and students, Cleghorn's final message should be heard loud and clear: Believe women. Reviewed by Tamar L. Goulet 4 COVID-19 vaccines are a limited resource. Will some countries hoard them, exhibiting the selfish behavior that ecologist Garrett Hardin anticipated in his 1968 essay “The tragedy of the commons” ([ 1 ][1]), or will they share their extra doses with others who need them? The answer is currently unfolding, but promising signs suggest the latter, confirming predictions articulated by economist Elinor “Lin” Ostrom in her landmark 1990 book, Governing the Commons ([ 2 ][2]). Ostrom, who is profiled in Erik Nordman's new book, The Uncommon Knowledge of Elinor Ostrom , was the first woman to win the Nobel Prize in Economics, securing the award in 2009 for her work on governing the commons and, according to Nordman, for her integration of theoretical foundations with fieldwork, anchoring economic concepts in real-world research. At first, the book's chapters do not seem to be connected. Studies about volunteerism are sandwiched between chapters on global climate change and space, and Ostrom's “eight design principles for managing a commons” appear for the first time in chapter four. Several pages into each chapter, however, Nordman presents the links that tie these themes together: Although resource use is key to Ostrom's principles, resources are not really the foci. Rather, managing “any common-pool resource,” as Nordman states, “is really about managing people.” Ostrom studied a myriad of “commons,” including one that is currently in the societal spotlight: the organization and efficiency of police departments, which are often run through a centralized bureaucracy. Communities with smaller-sized local police departments tend to exert control by engaging in more formal and informal communication with the police, she and her colleagues found, thereby building trust between the two entities. Police forces in larger cities that employ a mixture of centralized and decentralized components may ultimately have better outcomes, they concluded. As Nordman summarizes, “Public safety is a service that is coproduced by police departments and citizens.” Ostrom's observations from the 1970s are worth revisiting half a century later as the United States questions police structure and the role of communities. The work of managing commons reveals much about the complexities of life, illustrating what happens when these entities fail to fit into neat bins, when consequences are not binary, when outcomes seemingly defy logic, and when interconnectedness is key and collaboration is necessary and a strength. As Nordman asserts, “Ostrom left us with the tools to address these global challenges, but the work is up to us.” Reviewed by Max Kozlov 5 Every cat GIF shared on social media, credit card swiped, video watched on a streaming platform, and website visited add more data to the mind-bending 2.5 quintillion bytes of information that humans produce every single day. All of that information has a cost: Data centers alone consume about 47 billion watts, equivalent to the resting metabolism of more than a tenth of all the humans on the planet. In The Ascent of Information: Books, Bits, Genes, Machines, and Life's Unending Algorithm , astrobiologist Caleb Scharf probes this deluge of data, which he terms the “dataome,” to examine how it is changing us just as quickly as we are changing it. Masterfully weaving together anecdotes and thought experiments from neuroscience, evolutionary biology, theoretical physics, astrobiology, and information theory, Scharf investigates how our relationship with the dataome has fundamentally altered our lives and how it will continue to do so. Scharf begins by invoking William Shakespeare, whose legacy permeates the public consciousness more than four centuries after his death, to show just how powerful the dataome can be. On the basis of the average physical weight of one of his plays, “it is possible that altogether the simple act of human arms raising and lowering copies of Shakespeare's writings has expended over 4 trillion joules of energy,” he writes. These calculations do not even account for the energy expended as the neurons in our brains fire to make sense of the Bard's language. Zooming out as the book progresses, Scharf weaves in his own area of expertise—exoplanets—to dissect the argument of whether life exists beyond the confines of our planet. As a result of the same thermodynamic imperatives that gave rise to living systems on this planet, other dataomes, he maintains, are all but an inevitability. The dataome has been around since long before us, and it will persist long after we are gone, Scharf writes, tracing the flow of information and energy back to the birth of the Universe. He compares the rise of information to the rise of oxygen on Earth; both, he argues, involve the reconfiguration of matter and energy flow in very specific ways. Unlike atmospheric oxygen, however, humans have contributed to growing the dataome at unparalleled rates. Some estimate that by 2040, the world's computer chips will demand more electricity than is expected to be produced globally. Scharf ends with a sharply worded warning: All of these data represent a vastly different reality than anything biology has equipped us to deal with. How then, he asks, can we simultaneously preserve and support both our dataome and our planet? We must treat information as a natural resource, Scharf argues, one that cannot be extracted, refined, or used without cost or repercussions. “Information really isn't ‘free,’ nor has it ever been so,” he concludes. Reviewed by Elizabeth Gamillo 6 A Quantum Life: My Unlikely Journey from the Street to the Stars is the autobiography of astrophysicist and science communicator Hakeem Oluseyi, told as a journey from the author's challenging youth to the beginning of his career as a scientist. The book is split into four sections, each documenting pivotal parts of his life, including vivid accounts of his early childhood in an unstable home and his struggles with racism and classism as a Black doctoral student at Stanford University. Oluseyi, born James Plummer Jr., draws readers in with his candid and personable writing style. As I read, it felt as if he was sitting in front of me telling me his life story. Oluseyi sought refuge in books early on in his life and recounts the transformative moment he learned about Albert Einstein and his theory of relativity as a child. “[R]ight away I felt connected to Einstein,” he writes. “I could tell from his photo with that wild hair that he was weird, like me.” As the chapters progress, Oluseyi describes his difficult journey to find acceptance; he is too academically inclined for most of his peers but has trouble fitting in easily in academia. As a graduate student, he is pressured to leave Stanford University after failing his qualifying exam and resents the “privileged snobs” who make up most of the student body, with whom he finds little common ground. Oluseyi's supervisor, solar physicist Art Walker—the only Black faculty member in the physics department—plays a critical role in helping Oluseyi find his footing, highlighting the critical role of scientific mentorship. “Congratulations, Doctor,” Walker tells his young mentee in the book's closing pages, acknowledging Oluseyi's successful dissertation defense. “Art's handshake, and the hug that followed, was all the affirmation I could ask for,” writes Oluseyi. In the book's epilogue, Oluseyi describes his efforts to inspire the next generation of research physicists and details the importance of having culturally relevant role models. Here, he reflects on his experience tutoring Black and Latino high school students in the US and the mentoring program he created for Black astronomy students in South Africa, revealing how he uses his own struggles to relate to and motivate them. I found Oluseyi's perseverance inspiring. His story serves as a reminder that barriers are meant to be broken and that there is no one right way to be a scientist. We need more such stories if we truly wish to increase diversity within the scientific enterprise. Reviewed by Daniel Ackerman 7 Pope Julius II spared no expense in commissioning the Sistine Chapel's ceiling frescoes. He fetched Italy's top artistic talent—Michelangelo—for the job and demanded that the artist render the sky a brilliant celestial blue with a particular pigment: ultramarine. Derived from lapis lazuli stone quarried in present-day Afghanistan, ultramarine was worth more than its weight in gold. Science journalist Kai Kupferschmidt shares Julius II's obsession with blue, and he indulges it in an ambitious new biography of the color. Blue: In Search of Nature's Rarest Color dutifully answers all the expected scientific questions—why is the sky blue?—but it shines brightest when Kupferschmidt blends the physical and the philosophical, asking, for example, is the sky a social phenomenon? Over 200 pages, Kupferschmidt sketches a comprehensive history of the color blue. He deftly bridges mineralogy, botany, and art history to explore humanity's quest for the perfect blue pigment. With equal ease, he describes Picasso's Blue Period palette and the microstructures that blue jays use to “cheat” their way to a dazzling cerulean. The book's most fascinating chapters, “Seeing” and “Speaking,” dwell on how we perceive and communicate color. “Blue light is not actually blue,” writes Kupferschmidt. Light is merely electromagnetic radiation—photons with particular wavelengths. It becomes “blue” only through a dance with the eye, the brain, and our shared understanding of the world. Here, readers learn about the evolution of the eye and follow along as Kupferschmidt ponders whether the ancient Greek poet Homer, who described both the ocean and oxen as “wine-dark,” might have perceived the color blue differently than we do today. Language structures our view of the colorful world, notes Kupferschmidt in this section, revealing that Russian speakers are faster than English speakers in distinguishing shades of blue. (The language splits light and dark blue into different categories, just as English separates green from yellow.) In his effort to see blue from every possible angle, Kupferschmidt's narrative thread occasionally frays—some sections read more like a collection of essays than a unified whole. Yet his lively writing and ability to wrangle disparate disciplines are more than enough to keep the curious reader aboard. And like the very best science writers, Kupferschmidt paints a radical vision of material that would feel mundane in the hands of a less-capable author. Reviewed by Barbara Gastel 8 Mysterious illnesses can serve as starting points for both medical science and popular science writing. They can lead physicians and scientists to identify previously unknown syndromes, better understand the body's functioning, and ultimately improve the prevention and treatment of diseases. For science writers, such cases supply scaffolding for narrative, allow easy integration of human interest, and offer chances to portray not only the products but also the process of science. Such cases are at the core of The Memory Thief and the Secrets Behind How We Remember by science journalist Lauren Aguirre. Early in the book, a young neurologist named Jed Barash views an MRI scan of the brain of a patient acting strangely after a drug overdose. Barash is taken aback: The patient's hippocampus—crucial to memory—is severely damaged, but the rest of his brain is intact. Upon examination, the patient shows profound memory difficulty, akin to the deficits seen in patients with Alzheimer's disease. Barash embarks on a search for other such cases, leading to the identification of what is now called opioid-associated amnestic syndrome. Along the way, he enlists other physicians and researchers to try to gain a sense of how common this syndrome might be, how it arises, what it might imply more broadly about the effects of opiate use, and whether it might offer insights into other memory impairments. Threaded throughout this narrative are accounts of well-known cases in which surgical injury or viral infection ravaged an individual's hippocampus, resulting in permanent memory impairment; descriptions of rodent studies that have helped researchers identify the roles of hippocampal neurons in memory formation; and more information about the effects of opioids on memory. Aguirre discusses the possible origins of Alzheimer's disease as well as factors that contribute to healthy aging of the human brain. Aguirre also recounts the story of Owen Rivers, a bright young man who has been all but unable to form new memories since overdosing on fentanyl in 2018. The book's prologue tells Rivers's story from shortly before to shortly after the overdose, and segments interspersed throughout the main text trace his history and follow his experiences and reflections since the incident. The epilogue includes an engaging essay in which Rivers presents his own perspective on his memory loss, offering readers a firsthand account of the experience. “Without Calendar notifications, task organization apps (huge shoutout to Trello), alarms, and meticulous preplanning each day, navigating everyday life on my own would be unfeasible,” he writes. The Memory Thief is extensively researched, and Aguirre writes clearly, concisely, and often cinematically. Some of the book's denser sections might bog down nonscientists, while experts might lose patience with some of the more informal storytelling. However, the book ultimately succeeds in providing an accessible yet substantive look at memory science and offering glimpses of the often-challenging process of biomedical investigation. 1. [↵][3]1. G. Hardin , Science 162, 1243 (1968). [OpenUrl][4][Abstract/FREE Full Text][5] 2. [↵][6]1. E. Ostrom , Governing the Commons: The Evolution of Institutions for Collective Action (Cambridge Univ. Press, 1990). [1]: #ref-1 [2]: #ref-2 [3]: #xref-ref-1-1 "View reference 1 in text" [4]: {openurl}?query=rft.jtitle%253DScience%26rft.stitle%253DScience%26rft.aulast%253DHardin%26rft.auinit1%253DG.%26rft.volume%253D162%26rft.issue%253D3859%26rft.spage%253D1243%26rft.epage%253D1248%26rft.atitle%253DThe%2BTragedy%2Bof%2Bthe%2BCommons%26rft_id%253Dinfo%253Adoi%252F10.1126%252Fscience.162.3859.1243%26rft_id%253Dinfo%253Apmid%252F5699198%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [5]: /lookup/ijlink/YTozOntzOjQ6InBhdGgiO3M6MTQ6Ii9sb29rdXAvaWpsaW5rIjtzOjU6InF1ZXJ5IjthOjQ6e3M6ODoibGlua1R5cGUiO3M6NDoiQUJTVCI7czoxMToiam91cm5hbENvZGUiO3M6Mzoic2NpIjtzOjU6InJlc2lkIjtzOjEzOiIxNjIvMzg1OS8xMjQzIjtzOjQ6ImF0b20iO3M6MjM6Ii9zY2kvMzcyLzY1NDYvMTAzMC5hdG9tIjt9czo4OiJmcmFnbWVudCI7czowOiIiO30= [6]: #xref-ref-2-1 "View reference 2 in text"

What you can't find in someone's voice, you might find in someone's writing. I was always more inclined to following and referring video tutorials/lectures whenever it comes down to studying something on my own from the web. I found it easier ( just like some of you) to understand and not go through the pain of reading available books. Most of the time, I felt the same unless recently I discovered those writers or publishers who eliminated the element of'bore' from subject books and made them so… much interesting. This started when one of my really smart friends told me to start reading books because they contain more content and adds to a really important skill for any person, that is reading and understanding.

Description Python has a simple syntax that makes it suitable for learning programming as a first language. The learning curve is smoother than other languages such as Java, which quickly requires learning about Object Oriented Programming or C/C that requires to understand pointers. Still, it's possible to learn about OOP or functional programming in Python when the time comes. Python provides a well-furnished standard library and many external libraries are available. This allows to quickly develop concrete applications.

It's used for speech recognition, machine translation, computer vision and natural language processing. Deep Learning has applications in medical diagnosis, server optimisation, data centre security, autonomous driving and more. Below, we have listed down seven resources to learn Deep Learning. The Association of Data Scientists offers online courses to provide in-depth knowledge of various areas within machine learning and data science. Most of these courses are available as videos for self-paced learning along with relevant Colab notebooks.

If you are reading this article, then you are probably already convinced that AI can have a significant impact on your business's bottom line. It's not a question of'Should I implement AI?', but rather'How can I use AI to stay ahead of others?' You are not alone in your quest. AI is one of the technologies companies like yours are using as a tool to gain a competitive advantage. According to Deloitte, 71% of businesses are planning to increase their investment in AI. It's no wonder, as AI is becoming more accessible for everyone.

WSU secured a partnership with Explore by Cialfo to increase international student recruitment and engagement. Cialfo is an artificial intelligence-driven platform that helps students worldwide navigate their college applications, according to a press release from WSU’s Office of International Programs.  WSU is the first university in Washington state to partner with Cialfo, said Chris Elam,...

In the last decade, the demand for artificial intelligence programmers has increased exponentially, both in Mexico and throughout the world. According to Gartner, sectors such as energy, retail, financial services, telecommunications and manufacturing, are the most predisposed to take advantage of artificial intelligence in Mexico. Precisely Donald Feinberg, research director at Gartner, specializing in the area of artificial intelligence (AI), assures that in the country this field of information technology is reaching a very important role, as important as the one it already has in the United States. However, according to the National Institute of Statistics and Geography (INEGI), in the country there are 976 thousand people trained in computing or information and communication technologies, of which 241 thousand, at least, do not have a related job to the race. For this reason, it is becoming increasingly necessary to carry out training, through which the knowledge and skills required by emerging technologies, such as artificial intelligence, are obtained, and thus be able to aspire to the jobs offered by different companies.